diff --git a/your-code/1.-Data-Cleaning.ipynb b/your-code/1.-Data-Cleaning.ipynb index d1c8eea..7c6c6dc 100644 --- a/your-code/1.-Data-Cleaning.ipynb +++ b/your-code/1.-Data-Cleaning.ipynb @@ -28,7 +28,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -47,11 +47,283 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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2Alex BentleyCONG17069.023.875433USOctober 27, 199026Penn State4266178221837.6196429.7354283.343640782232421800
3Alex MontgomerySANG/F18584.024.543462USDecember 11, 198828Georgia Tech6317217519538.5216830.9172181.0351341696520103818820
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NameTeamPosHeightWeightBMIBirth_PlaceBirthdateAgeCollegeExperienceGames PlayedMINFGMFGAFG%3PM3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOPTSDD2TD3
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NameTeamPosHeightWeightBMIBirth_PlaceBirthdateAgeCollegeExperienceGames PlayedMINFGMFGAFG%3PM3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOPTSDD2TD3
0Aerial PowersDALF1837121.200991USJanuary 17, 199423Michigan State28173308535.3123237.5212680.8622281236129300
1Alana BeardLAG/F1857321.329438USMay 14, 198235Duke12309479017750.851827.8324178.019821017263134021700
2Alex BentleyCONG1706923.875433USOctober 27, 199026Penn State4266178221837.6196429.7354283.343640782232421800
3Alex MontgomerySANG/F1858424.543462USDecember 11, 198828Georgia Tech6317217519538.5216830.9172181.0351341696520103818820
4Alexis JonesMING1757825.469388USAugust 5, 199423BaylorR24137165032.072035.0111291.739121270145000
...................................................................................................
138Tiffany HayesATLG1787022.093170USSeptember 20, 198927Connecticut62986114433143.54311238.413616184.52889117693785046700
139Tiffany JacksonLAF1918423.025685USApril 26, 198532Texas922127122548.0010.04666.75182331382800
140Tiffany MitchellINDG1756922.530612USSeptember 23, 198432South Carolina2276718323834.9176924.69410292.2167086393154027700
141Tina CharlesNYF/C1938422.550941USMay 12, 198829Connecticut82995222750944.6185632.111013581.55621226875212271582110
142Yvonne TurnerPHOG1755919.265306USOctober 13, 198729Nebraska2303565914042.1114723.4222878.6111324301813215100
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HeightWeightBMIAgeGames PlayedMINFGMFGAFG%3PM3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOPTSDD2TD3
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25%175.75000071.50000021.78587624.00000022.000000242.25000027.00000069.00000037.1250000.0000003.0000000.00000013.00000017.25000071.5750007.00000026.00000034.25000011.2500007.0000002.00000014.00000077.2500000.0000000.000000
50%185.00000079.00000022.87331427.00000027.500000506.00000069.000000152.50000042.05000010.50000032.00000030.55000029.00000035.50000080.00000013.00000050.00000062.50000034.00000015.0000005.00000028.000000181.0000000.0000000.000000
75%191.00000086.00000024.18071530.00000029.000000752.500000105.000000244.75000048.62500022.00000065.50000036.17500053.25000066.50000085.92500031.00000084.000000116.50000066.75000027.50000012.00000048.000000277.7500001.0000000.000000
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Unnamed: 0NameTeamPosHeightWeightBMIBirth_PlaceBirthdateAgeCollegeExperienceGames PlayedMINFGMFGAFG%3PM3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOPTSDD2TD3
00Aerial PowersDALF18371.021.200991USJanuary 17, 199423Michigan State28173308535.3123237.5212680.8622281236129300
11Alana BeardLAG/F18573.021.329438USMay 14, 198235Duke12309479017750.851827.8324178.019821017263134021700
22Alex BentleyCONG17069.023.875433USOctober 27, 199026Penn State4266178221837.6196429.7354283.343640782232421800
33Alex MontgomerySANG/F18584.024.543462USDecember 11, 198828Georgia Tech6317217519538.5216830.9172181.0351341696520103818820
44Alexis JonesMING17578.025.469388USAugust 5, 199423BaylorR24137165032.072035.0111291.739121270145000
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" + ], + "text/plain": [ + " Weight\n", + "Age \n", + "21 104.0\n", + "22 82.0\n", + "23 96.0\n", + "24 113.0\n", + "25 97.0\n", + "26 93.0\n", + "27 104.0\n", + "28 108.0\n", + "29 113.0\n", + "30 90.0\n", + "31 93.0\n", + "32 96.0\n", + "33 81.0\n", + "34 86.0\n", + "35 88.0\n", + "36 68.0" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#your code here" + "#your code here\n", + "\n", + "wnba.groupby('Age').agg({'Weight': 'max'})" ] }, { @@ -89,11 +838,32 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#your code here" + "#your code here\n", + "\n", + "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize= (10, 10))\n", + "ax1.set_title('Height')\n", + "ax2.set_title('Weight')\n", + "ax3.set_title('Age')\n", + "ax4.set_title('BMI')\n", + "ax1.hist(wnba['Height']);\n", + "ax2.hist(wnba['Weight']);\n", + "ax3.hist(wnba['Age'], bins= 16);\n", + "ax4.hist(wnba['Height']);" ] }, { @@ -109,7 +879,9 @@ "metadata": {}, "outputs": [], "source": [ - "#your conclusions here" + "#your conclusions here\n", + "\n", + "#BMI and Height have similar distribuition due to the shape of le graphic" ] }, { @@ -134,11 +906,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#your code here" + "#your code here\n", + "\n", + "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize= (10, 10))\n", + "ax1.set_title('REB')\n", + "ax2.set_title('AST')\n", + "ax3.set_title('STL')\n", + "ax4.set_title('BLK')\n", + "ax1.hist(wnba['REB']);\n", + "ax2.hist(wnba['AST']);\n", + "ax3.hist(wnba['STL']);\n", + "ax4.hist(wnba['BLK']);" ] }, { @@ -150,11 +943,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ - "#your conclusions here" + "#your conclusions here\n", + "\n", + "#They seem to follow a normal distribuition" ] }, { @@ -173,11 +968,34 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#your code here" + "#your code here\n", + "\n", + "fig, ((ax1, ax2), (ax3, ax4), (ax5, ax6)) = plt.subplots(3, 2, figsize= (10, 12))\n", + "ax1.set_title('Rebounds')\n", + "ax1.hist(wnba['REB']/wnba['MIN']);\n", + "ax2.set_title('Assists')\n", + "ax2.hist(wnba['AST']/wnba['MIN']);\n", + "ax3.set_title('Steals')\n", + "ax3.hist(wnba['STL']/wnba['MIN']);\n", + "ax4.set_title('Points')\n", + "ax4.hist(wnba['PTS']/wnba['MIN']);\n", + "ax5.set_title('Blocks')\n", + "ax5.hist(wnba['BLK']/wnba['MIN']);" ] }, { @@ -189,11 +1007,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ - "#your conclusions here" + "#your conclusions here\n", + "\n", + "#Blocks seems to follow a normal distribuition (?)" ] }, { @@ -228,7 +1048,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "base", "language": "python", "name": "python3" }, @@ -242,7 +1062,12 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.8" + "version": "3.9.13" + }, + "vscode": { + "interpreter": { + "hash": "ad2bdc8ecc057115af97d19610ffacc2b4e99fae6737bb82f5d7fb13d2f2c186" + } } }, "nbformat": 4, diff --git a/your-code/3.-Inferential-Analysis.ipynb b/your-code/3.-Inferential-Analysis.ipynb index 366765b..1880958 100644 --- a/your-code/3.-Inferential-Analysis.ipynb +++ b/your-code/3.-Inferential-Analysis.ipynb @@ -21,7 +21,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -46,11 +46,290 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#your code here" + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Unnamed: 0NameTeamPosHeightWeightBMIBirth_PlaceBirthdateAgeCollegeExperienceGames PlayedMINFGMFGAFG%3PM3PA3P%FTMFTAFT%OREBDREBREBASTSTLBLKTOPTSDD2TD3
00Aerial PowersDALF18371.021.200991USJanuary 17, 199423Michigan State28173308535.3123237.5212680.8622281236129300
11Alana BeardLAG/F18573.021.329438USMay 14, 198235Duke12309479017750.851827.8324178.019821017263134021700
22Alex BentleyCONG17069.023.875433USOctober 27, 199026Penn State4266178221837.6196429.7354283.343640782232421800
33Alex MontgomerySANG/F18584.024.543462USDecember 11, 198828Georgia Tech6317217519538.5216830.9172181.0351341696520103818820
44Alexis JonesMING17578.025.469388USAugust 5, 199423BaylorR24137165032.072035.0111291.739121270145000
\n", + "
" + ], + "text/plain": [ + " Unnamed: 0 Name Team Pos Height Weight BMI \\\n", + "0 0 Aerial Powers DAL F 183 71.0 21.200991 \n", + "1 1 Alana Beard LA G/F 185 73.0 21.329438 \n", + "2 2 Alex Bentley CON G 170 69.0 23.875433 \n", + "3 3 Alex Montgomery SAN G/F 185 84.0 24.543462 \n", + "4 4 Alexis Jones MIN G 175 78.0 25.469388 \n", + "\n", + " Birth_Place Birthdate Age College Experience \\\n", + "0 US January 17, 1994 23 Michigan State 2 \n", + "1 US May 14, 1982 35 Duke 12 \n", + "2 US October 27, 1990 26 Penn State 4 \n", + "3 US December 11, 1988 28 Georgia Tech 6 \n", + "4 US August 5, 1994 23 Baylor R \n", + "\n", + " Games Played MIN FGM FGA FG% 3PM 3PA 3P% FTM FTA FT% OREB \\\n", + "0 8 173 30 85 35.3 12 32 37.5 21 26 80.8 6 \n", + "1 30 947 90 177 50.8 5 18 27.8 32 41 78.0 19 \n", + "2 26 617 82 218 37.6 19 64 29.7 35 42 83.3 4 \n", + "3 31 721 75 195 38.5 21 68 30.9 17 21 81.0 35 \n", + "4 24 137 16 50 32.0 7 20 35.0 11 12 91.7 3 \n", + "\n", + " DREB REB AST STL BLK TO PTS DD2 TD3 \n", + "0 22 28 12 3 6 12 93 0 0 \n", + "1 82 101 72 63 13 40 217 0 0 \n", + "2 36 40 78 22 3 24 218 0 0 \n", + "3 134 169 65 20 10 38 188 2 0 \n", + "4 9 12 12 7 0 14 50 0 0 " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#your code here\n", + "\n", + "wnba = pd.read_csv('wnba_clean.csv')\n", + "wnba.head()" ] }, { @@ -70,11 +349,56 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "# your answer here" + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mean population 78.97887323943662\n", + "mean sample: 78.96983000000002\n" + ] + } + ], + "source": [ + "# your answer here\n", + "weight_means = []\n", + "\n", + "for i in range(1000):\n", + " popl_sample = np.random.choice(wnba['Weight'],10) \n", + " mean_sample = np.mean(popl_sample)\n", + " weight_means.append(mean_sample)\n", + "\n", + "plt.hist(weight_means)\n", + "\n", + "weight_means = []\n", + "\n", + "for i in range(1000):\n", + " popl_sample = np.random.choice(wnba['Weight'],100) \n", + " mean_sample = np.mean(popl_sample)\n", + " weight_means.append(mean_sample)\n", + "\n", + "plt.hist(weight_means)\n", + "\n", + "plt.show()\n", + "\n", + "mu = np.mean(wnba['Weight'])\n", + "\n", + "print('mean population', mu)\n", + "\n", + "x_hat = np.mean(weight_means)\n", + "print('mean sample:', x_hat)" ] }, { @@ -88,9 +412,23 @@ "cell_type": "code", "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(76.83127733557417, 81.12646914329908)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "import scipy.stats as st\n", + "sigma = wnba['Weight'].std(ddof=0)\n", + "st.norm.interval(0.95, loc=mu, scale=sigma/np.sqrt(100))" ] }, { @@ -118,11 +456,13 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ - "#your-answer-here" + "#your-answer-here\n", + "\n", + "#she seems to be right " ] }, { @@ -154,11 +494,67 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ - "# your answer here" + "# your answer here\n", + "\n", + "wnba_40 = wnba['FT%'] < 60.0" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mean population 0.09859154929577464\n", + "mean sample: 0.09844000000000001\n" + ] + } + ], + "source": [ + "ft_means = []\n", + "\n", + "for i in range(1000):\n", + " pop_sample = np.random.choice(wnba_40,10) \n", + " mean_sample = np.mean(pop_sample)\n", + " ft_means.append(mean_sample)\n", + "\n", + "plt.hist(ft_means)\n", + "\n", + "ft_means = []\n", + "\n", + "for i in range(1000):\n", + " pop_sample = np.random.choice(wnba_40,100) \n", + " mean_sample = np.mean(pop_sample)\n", + " ft_means.append(mean_sample)\n", + "\n", + "plt.hist(ft_means)\n", + "\n", + "plt.show()\n", + "\n", + "mu = np.mean(wnba_40)\n", + "\n", + "print('mean population', mu)\n", + "\n", + "\n", + "x_hat = np.mean(ft_means)\n", + "print('mean sample:', x_hat)" ] }, { @@ -170,11 +566,25 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "metadata": {}, - "outputs": [], - "source": [ - "# your code here" + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(0.04895944132917377, 0.14822365726237552)\n" + ] + } + ], + "source": [ + "# your code here\n", + "\n", + "n = len(wnba_40)\n", + "mean_ = wnba_40.mean()\n", + "s = wnba_40.std(ddof=1)\n", + "\n", + "print(st.t.interval(0.95,n-1,loc=mean_,scale= s/np.sqrt(n)))" ] }, { @@ -227,11 +637,56 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 11, "metadata": {}, - "outputs": [], - "source": [ - "#your-answer-here" + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mean population param: 44.514084507042256\n", + "mean sample dist: 44.594809999999995\n" + ] + } + ], + "source": [ + "#your-answer-here\n", + "ast_means = []\n", + "\n", + "for i in range(1000):\n", + " pop_sample = np.random.choice(wnba['AST'],10) \n", + " mean_sample = np.mean(pop_sample)\n", + " ast_means.append(mean_sample)\n", + "\n", + "plt.hist(ast_means)\n", + "\n", + "ast_means = []\n", + "\n", + "for i in range(1000):\n", + " pop_sample = np.random.choice(wnba['AST'],100) \n", + " mean_sample = np.mean(pop_sample)\n", + " ast_means.append(mean_sample)\n", + "\n", + "plt.hist(ast_means)\n", + "\n", + "plt.show()\n", + "\n", + "mu = np.mean(wnba['AST'])\n", + "\n", + "print('mean population param: ', mu)\n", + "\n", + "x_hat = np.mean(ast_means)\n", + "print('mean sample dist:', x_hat)" ] }, { @@ -243,20 +698,36 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 12, "metadata": {}, - "outputs": [], - "source": [ - "#your code here" + "outputs": [ + { + "data": { + "text/plain": [ + "Ttest_1sampResult(statistic=-2.1499947192482898, pvalue=0.033261541354107166)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#your code here\n", + "\n", + "alpha = 0.05\n", + "\n", + "st.ttest_1samp(wnba['AST'],52)" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ - "#your-answer-here" + "#your-answer-here\n", + "#reject the null hypotesis" ] }, { @@ -268,11 +739,24 @@ }, { "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "#your-answer-here" + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Ttest_1sampResult(statistic=-2.1499947192482898, pvalue=0.016630770677053583)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#your-answer-here\n", + "\n", + "st.ttest_1samp(wnba['AST'],52,alternative='less')" ] }, { @@ -343,7 +827,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "base", "language": "python", "name": "python3" }, @@ -357,7 +841,12 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.8" + "version": "3.9.13" + }, + "vscode": { + "interpreter": { + "hash": "ad2bdc8ecc057115af97d19610ffacc2b4e99fae6737bb82f5d7fb13d2f2c186" + } } }, "nbformat": 4, diff --git a/data/wnba.csv b/your-code/wnba.csv similarity index 99% rename from data/wnba.csv rename to your-code/wnba.csv index 0e35127..bb13374 100644 --- a/data/wnba.csv +++ b/your-code/wnba.csv @@ -1,144 +1,144 @@ -Name,Team,Pos,Height,Weight,BMI,Birth_Place,Birthdate,Age,College,Experience,Games Played,MIN,FGM,FGA,FG%,3PM,3PA,3P%,FTM,FTA,FT%,OREB,DREB,REB,AST,STL,BLK,TO,PTS,DD2,TD3 -Aerial Powers,DAL,F,183,71,21.20099137,US,"January 17, 1994",23,Michigan State,2,8,173,30,85,35.3,12,32,37.5,21,26,80.8,6,22,28,12,3,6,12,93,0,0 -Alana Beard,LA,G/F,185,73,21.32943755,US,"May 14, 1982",35,Duke,12,30,947,90,177,50.8,5,18,27.8,32,41,78.0,19,82,101,72,63,13,40,217,0,0 -Alex Bentley,CON,G,170,69,23.87543253,US,"October 27, 1990",26,Penn State,4,26,617,82,218,37.6,19,64,29.7,35,42,83.3,4,36,40,78,22,3,24,218,0,0 -Alex Montgomery,SAN,G/F,185,84,24.54346238,US,"December 11, 1988",28,Georgia Tech,6,31,721,75,195,38.5,21,68,30.9,17,21,81.0,35,134,169,65,20,10,38,188,2,0 -Alexis Jones,MIN,G,175,78,25.46938776,US,"August 5, 1994",23,Baylor,R,24,137,16,50,32.0,7,20,35.0,11,12,91.7,3,9,12,12,7,0,14,50,0,0 -Alexis Peterson,SEA,G,170,63,21.79930796,US,"June 20, 1995",22,Syracuse,R,14,90,9,34,26.5,2,9,22.2,6,6,100,3,13,16,11,5,0,11,26,0,0 -Alexis Prince,PHO,G,188,81,22.91760978,US,"February 5, 1994",23,Baylor,R,16,112,9,34,26.5,4,15,26.7,2,2,100,1,14,15,5,4,3,3,24,0,0 -Allie Quigley,CHI,G,178,64,20.19946976,US,"June 20, 1986",31,DePaul,8,26,847,166,319,52.0,70,150,46.7,40,46,87.0,9,83,92,95,20,13,59,442,0,0 -Allisha Gray,DAL,G,185,76,22.20598977,US,"October 20, 1992",24,South Carolina,2,30,834,131,346,37.9,29,103,28.2,104,129,80.6,52,75,127,40,47,19,37,395,0,0 -Allison Hightower,WAS,G,178,77,24.30248706,US,"June 4, 1988",29,LSU,5,7,103,14,38,36.8,2,11,18.2,6,6,100,3,7,10,10,5,0,2,36,0,0 -Alysha Clark,SEA,F,180,76,23.45679012,US,"July 7, 1987",30,Middle Tennessee,6,30,843,93,183,50.8,20,62,32.3,38,51,74.5,29,97,126,50,22,4,32,244,0,0 -Alyssa Thomas,CON,F,188,84,23.76641014,US,"December 4, 1992",24,Maryland,3,28,833,154,303,50.8,0,3,0.0,91,158,57.6,34,158,192,136,48,11,87,399,4,0 -Amanda Zahui B.,NY,C,196,113,29.41482716,SE,"August 9, 1993",24,Minnesota,3,25,133,20,53,37.7,2,8,25.0,9,12,75.0,5,18,23,7,4,5,12,51,0,0 -Amber Harris,CHI,F,196,88,22.90712203,US,"January 16, 1988",29,Xavier,3,22,146,18,44,40.9,0,10,0.0,5,8,62.5,12,28,40,5,3,9,6,41,0,0 -Aneika Henry,ATL,F/C,193,87,23.35633171,JM,"February 13, 1986",31,Florida,6,4,22,4,4,100,0,0,0.0,0,0,0.0,0,4,4,1,2,0,3,8,0,0 -Angel Robinson,PHO,F/C,198,88,22.44668911,US,"August 30, 1995",21,Arizona State,1,15,237,25,44,56.8,1,1,100,7,7,100,16,42,58,8,1,11,16,58,0,0 -Asia Taylor,WAS,F,185,76,22.20598977,US,"August 22, 1991",26,Louisville,3,20,128,10,31,32.3,0,0,0.0,11,18,61.1,16,21,37,9,5,2,10,31,0,0 -Bashaara Graves,CHI,F,188,91,25.74694432,US,"March 17, 1994",23,Tennessee,1,5,59,8,14,57.1,0,0,0.0,3,4,75.0,4,13,17,3,0,1,3,19,0,0 -Breanna Lewis,DAL,C,196,93,24.20866306,US,"June 22, 1994",23,Kansas State,R,12,50,2,12,16.7,0,0,0.0,3,4,75.0,2,7,9,2,0,0,7,7,0,0 -Breanna Stewart,SEA,F/C,193,77,20.67169588,US,"August 27, 1994",22,Connecticut,2,29,952,201,417,48.2,46,123,37.4,136,171,79.5,43,206,249,78,29,47,68,584,8,0 -Bria Hartley,NY,G,173,66,22.05219018,US,"September 30, 1992",24,Connecticut,4,29,598,80,192,41.7,32,93,34.4,25,33,75.8,7,50,57,58,15,5,44,217,0,0 -Bria Holmes,ATL,G,185,77,22.49817385,US,"April 19, 1994",23,West Virginia,R,28,655,85,231,36.8,9,50,18.0,56,84,66.7,29,56,85,52,23,7,31,235,0,0 -Briann January,IND,G,173,65,21.71806609,US,"November 1, 1987",29,Arizona State,9,25,657,81,205,39.5,18,57,31.6,58,71,81.7,12,25,37,98,23,4,53,238,0,0 -Brionna Jones,CON,F,191,104,28.50799046,US,"December 18, 1995",21,Maryland,R,19,112,14,26,53.8,0,0,0.0,16,19,84.2,11,14,25,2,7,1,7,44,0,0 -Brittany Boyd,NY,G,175,71,23.18367347,US,"November 6, 1993",23,UC Berkeley,3,2,32,9,15,60.0,0,1,0.0,8,11,72.7,3,5,8,5,3,0,2,26,0,0 -Brittney Griner,PHO,C,206,93,21.91535489,US,"October 18, 1990",26,Baylor,5,22,682,167,293,57.0,0,0,0.0,127,154,82.5,43,129,172,39,13,54,52,461,6,0 -Brittney Sykes,ATL,G,175,66,21.55102041,US,"July 2, 1994",23,Rutgers,10,30,734,146,362,40.3,29,87,33.3,76,102,74.5,25,94,119,59,18,17,49,397,1,0 -Camille Little,PHO,F,188,82,23.20054323,US,"January 18, 1985",32,North Carolina,11,30,759,93,219,42.5,9,52,17.3,33,52,63.5,42,71,113,42,28,13,50,228,0,0 -Candace Parker,LA,F/C,193,79,21.20862305,US,"April 19, 1986",31,Tennessee,10,29,889,183,383,47.8,40,114,35.1,88,115,76.5,37,205,242,127,43,53,80,494,10,1 -Candice Dupree,IND,F,188,81,22.91760978,US,"February 25, 1984",33,Temple,12,29,911,189,370,51.1,0,2,0.0,57,65,87.7,31,124,155,47,28,12,42,435,2,0 -Cappie Pondexter,CHI,G,175,73,23.83673469,US,"July 1, 1983",34,Rutgers,11,24,676,94,258,36.4,8,32,25.0,54,67,80.6,10,59,69,104,17,5,56,250,2,0 -Carolyn Swords,SEA,C,198,95,24.2322212,US,"July 19, 1989",28,Boston College,6,26,218,19,39,48.7,0,0,0.0,16,20,80.0,10,29,39,9,5,4,22,54,0,0 -Cayla George,PHO,C,193,87,23.35633171,AU,"April 20, 1987",30,Georgia,1,28,365,40,105,38.1,13,45,28.9,7,12,58.3,10,71,81,15,9,11,13,100,1,0 -Chelsea Gray,LA,G,180,77,23.7654321,US,"August 10, 1992",25,Duke,3,30,996,165,326,50.6,48,100,48.0,78,94,83.0,19,80,99,132,29,7,61,456,1,0 -Cheyenne Parker,CHI,F,193,86,23.08786813,US,"August 22, 1992",25,Middle Tennessee,2,23,286,32,69,46.4,0,3,0.0,23,36,63.9,31,47,78,13,8,15,21,87,0,0 -Clarissa dos Santos,SAN,C,185,89,26.00438276,BR,"October 3, 1988",28,Brazil,4,7,52,8,14,57.1,1,1,100,0,0,0.0,3,7,10,7,1,1,5,17,0,0 -Courtney Paris,DAL,C,193,113,30.33638487,US,"September 21, 1987",29,Oklahoma,7,16,217,32,57,56.1,0,0,0.0,6,12,50.0,28,34,62,5,6,8,18,70,0,0 -Courtney Vandersloot,CHI,G,173,66,22.05219018,US,"August 2, 1989",28,Gonzaga,6,22,673,104,199,52.3,23,60,38.3,24,29,82.8,13,75,88,175,22,5,64,255,10,0 -Courtney Williams,CON,G,173,62,20.71569381,US,"November 5, 1994",22,South Florida,1,29,755,168,338,49.7,8,30,26.7,31,36,86.1,38,84,122,60,15,6,39,375,1,0 -Crystal Langhorne,SEA,F/C,188,84,23.76641014,US,"October 27, 1986",30,Maryland,10,30,848,160,240,66.7,1,2,50.0,49,68,72.1,35,140,175,46,16,11,50,370,2,0 -Damiris Dantas,ATL,C,191,89,24.39626107,BR,"November 17, 1992",24,Brazil,4,30,569,98,243,40.3,25,91,27.5,33,43,76.7,29,84,113,19,17,18,26,254,0,0 -Danielle Adams,CON,F/C,185,108,31.5558802,US,"February 19, 1989",28,Texas A&M,5,18,81,16,43,37.2,12,30,40.0,5,5,100,6,4,10,4,4,4,7,49,0,0 -Danielle Robinson,PHO,G,175,57,18.6122449,US,"October 5, 1989",27,Oklahoma,7,28,680,79,178,44.4,0,5,0.0,51,61,83.6,13,73,86,106,33,4,58,209,0,0 -Dearica Hamby,SAN,F,191,86,23.57391519,US,"June 11, 1993",24,Wake Forest,2,31,650,96,207,46.4,3,8,37.5,58,95,61.1,48,91,139,32,29,8,43,253,1,0 -Devereaux Peters,IND,F,188,79,22.35174287,US,"August 10, 1989",28,Notre Dame,6,28,796,154,380,40.5,88,225,39.1,118,130,90.8,8,69,77,76,16,9,56,514,0,0 -Diana Taurasi,PHO,G,183,74,22.09680791,US,"November 6, 1982",34,Connecticut,13,20,591,121,255,47.5,22,66,33.3,112,118,94.9,31,98,129,32,20,31,28,376,3,0 -Elena Delle Donne,WAS,G/F,196,85,22.12619742,US,"May 9, 1989",28,Delaware,5,30,939,133,272,48.9,0,1,0.0,51,78,65.4,99,116,215,43,32,64,36,317,4,0 -Elizabeth Williams,ATL,F/C,191,87,23.84803048,US,"June 23, 1993",24,Duke,3,30,377,48,96,50.0,0,1,0.0,32,55,58.2,35,61,96,5,5,4,21,128,0,0 -Emma Cannon,PHO,F,188,86,24.33227705,US,"January 6, 1989",28,Central Florida,R,18,508,105,220,47.7,11,33,33.3,31,34,91.2,33,72,105,52,21,27,30,252,1,0 -Emma Meesseman,WAS,C,193,83,22.28247738,BE,"May 13, 1993",24,Belgium,5,23,617,89,233,38.2,25,79,31.6,56,65,86.2,23,58,81,70,34,5,30,259,0,0 -Epiphanny Prince,NY,G,175,81,26.44897959,US,"November 1, 1988",28,Rutgers,8,26,282,36,86,41.9,1,3,33.3,15,22,68.2,17,44,61,5,4,8,17,88,0,0 -Erica Wheeler,IND,G,170,65,22.49134948,US,"February 5, 1991",26,Rutgers,3,30,767,130,321,40.5,42,129,32.6,34,40,85.0,11,57,68,117,38,1,68,336,0,0 -Érika de Souza,SAN,C,196,86,22.38650562,BR,"September 3, 1982",34,Brazil,13,30,579,65,112,58.0,0,0,0.0,29,32,90.6,58,74,132,35,18,7,37,159,0,0 -Erlana Larkins,IND,F,185,93,27.17311907,US,"February 4, 1986",31,North Carolina,9,20,386,36,92,39.1,9,35,25.7,21,24,87.5,9,26,35,24,11,8,13,102,0,0 -Essence Carson,LA,G/F,183,74,22.09680791,US,"July 28, 1986",31,Rutgers,10,15,61,4,16,25.0,0,0,0.0,5,6,83.3,7,2,9,0,1,3,5,13,0,0 -Evelyn Akhator,DAL,F,191,82,22.47745402,NG,"March 2, 1995",22,Kentucky,R,30,926,165,365,45.2,20,60,33.3,92,117,78.6,73,199,272,50,37,13,67,442,13,0 -Glory Johnson,DAL,F,191,77,21.10687755,US,"July 27, 1990",27,Tennessee,4,4,42,3,9,33.3,3,6,50.0,0,0,0.0,0,3,3,1,0,0,4,9,0,0 -Imani Boyette,ATL,C,201,88,21.78163907,US,"November 10, 1992",24,Texas,1,29,410,56,119,47.1,1,3,33.3,14,20,70.0,43,75,118,14,9,23,22,127,1,0 -Isabelle Harrison,SAN,C,191,83,22.75156931,US,"September 27, 1993",23,Kentucky,3,31,832,154,300,51.3,1,2,50.0,55,85,64.7,66,134,200,46,26,24,63,364,5,0 -Ivory Latta,WAS,G,168,63,22.32142857,US,"September 25, 1984",32,North Carolina,12,29,499,79,218,36.2,40,114,35.1,47,55,85.5,7,20,27,49,12,1,22,245,0,0 -Jantel Lavender,LA,C,193,84,22.55094096,US,"December 11, 1988",28,Ohio State,7,28,481,89,184,48.4,4,13,30.8,18,22,81.8,31,56,87,28,8,5,35,200,0,0 -Jasmine Thomas,CON,G,175,66,21.55102041,US,"September 30, 1989",27,Duke,6,27,762,151,341,44.3,50,116,43.1,39,55,70.9,9,55,64,118,45,4,58,391,1,0 -Jazmon Gwathmey,IND,G,188,65,18.39067451,PR,"January 24, 1993",24,James Madison,2,24,371,50,140,35.7,12,49,24.5,30,39,76.9,15,34,49,17,13,19,32,142,0,0 -Jeanette Pohlen,IND,G,183,78,23.29122996,US,"February 5, 1989",28,Stanford,6,25,278,20,52,38.5,13,29,44.8,17,20,85.0,3,19,22,13,5,0,15,70,0,0 -Jennifer Hamson,IND,C,201,95,23.51426945,US,"January 23, 1992",25,Brigham Young,1,10,50,2,12,16.7,0,3,0.0,8,10,80.0,5,6,11,6,2,2,3,12,0,0 -Jessica Breland,CHI,F,191,77,21.10687755,US,"February 23, 1988",29,North Carolina,5,10,78,9,16,56.3,0,0,0.0,4,5,80.0,5,13,18,2,1,9,3,22,0,0 -Jewell Loyd,SEA,G,178,67,21.14631991,US,"May 10, 1993",24,Notre Dame,3,29,715,116,245,47.3,8,21,38.1,28,37,75.7,50,139,189,46,18,50,57,268,4,0 -Jia Perkins,MIN,G,173,75,25.05930703,US,"February 23, 1982",35,Texas Tech,14,30,932,178,420,42.4,47,123,38.2,114,134,85.1,24,72,96,103,41,11,83,517,0,0 -Jonquel Jones,CON,F/C,198,86,21.93653709,BS,"May 1, 1994",23,George Washington,1,29,463,47,124,37.9,11,32,34.4,11,15,73.3,11,46,57,39,30,1,24,116,0,0 -Jordan Hooper,CHI,F,188,84,23.76641014,US,"February 20, 1992",25,Nebraska,3,29,833,164,299,54.8,22,49,44.9,117,142,82.4,108,226,334,40,29,46,46,467,17,0 -Kaela Davis,DAL,G,188,77,21.78587596,US,"March 15, 1995",22,South Carolina,R,23,208,27,75,36.0,20,55,36.4,3,4,75.0,2,20,22,5,7,1,6,77,0,0 -Kahleah Copper,CHI,G/F,185,70,20.45288532,US,"August 28, 1994",22,Rutgers,1,29,475,62,163,38.0,12,32,37.5,49,65,75.4,10,33,43,32,13,3,48,185,0,0 -Kaleena Mosqueda-Lewis,SEA,F,180,82,25.30864198,US,"March 11, 1993",24,Connecticut,3,29,369,60,140,42.9,5,23,21.7,36,45,80.0,11,43,54,11,9,2,22,161,0,0 -Karima Christmas-Kelly,DAL,G/F,183,82,24.48565201,US,"November 9, 1989",27,Duke,6,14,142,23,43,53.5,9,21,42.9,10,10,100,4,10,14,6,1,1,13,65,0,0 -Kayla Alexander,SAN,C,193,88,23.6247953,CA,"May 1, 1991",26,Arizona State,4,30,889,91,239,38.1,25,83,30.1,111,129,86.0,45,75,120,65,39,5,50,318,0,0 -Kayla McBride,SAN,G/F,180,79,24.38271605,US,"June 25, 1992",25,Notre Dame,3,31,433,78,141,55.3,0,0,0.0,15,16,93.8,40,47,87,17,13,15,30,171,0,0 -Kayla Pedersen,CON,F,193,86,23.08786813,US,"April 14, 1989",28,Stanford,5,27,882,128,337,38.0,47,147,32.0,108,118,91.5,12,93,105,59,32,5,54,411,0,0 -Kayla Thornton,DAL,F,185,86,25.12783053,US,"October 20, 1992",24,Texas–El Paso,2,21,224,11,30,36.7,0,1,0.0,10,14,71.4,19,26,45,13,6,2,9,32,0,0 -Keisha Hampton,CHI,F,185,78,22.79035793,US,"February 22, 1990",27,DePaul,1,30,504,64,157,40.8,14,52,26.9,65,81,80.2,36,59,95,24,20,7,21,207,0,0 -Kelsey Plum,SAN,G,173,66,22.05219018,US,"August 24, 1994",23,Washington,R,28,610,73,210,34.8,29,78,37.2,50,58,86.2,11,42,53,91,13,4,72,225,0,0 -Kia Vaughn,NY,C,193,90,24.16172246,US,"January 24, 1987",30,Rutgers,9,23,455,62,116,53.4,0,0,0.0,10,19,52.6,39,71,110,16,8,9,21,134,1,0 -Kiah Stokes,NY,C,191,87,23.84803048,US,"March 30, 1993",24,Connecticut,3,29,576,50,98,51.0,0,1,0.0,41,52,78.8,63,122,185,21,8,32,33,141,3,0 -Kristi Toliver,WAS,G,170,59,20.41522491,US,"January 27, 1987",30,Maryland,9,29,845,119,284,41.9,67,194,34.5,44,49,89.8,9,50,59,91,20,8,48,349,0,0 -Krystal Thomas,WAS,C,196,88,22.90712203,US,"October 6, 1989",27,Duke,6,29,737,81,149,54.4,0,0,0.0,37,61,60.7,97,172,269,30,15,31,45,199,2,0 -Lanay Montgomery,SEA,C,196,96,24.98958767,US,"September 17, 1993",23,West Virginia,R,7,28,3,7,42.9,0,0,0.0,0,0,0.0,0,5,5,0,1,4,2,6,0,0 -Layshia Clarendon,ATL,G,175,64,20.89795918,US,"February 5, 1991",26,UC Berkeley,5,30,900,124,320,38.8,8,53,15.1,73,81,90.1,27,88,115,206,29,1,82,329,3,0 -Leilani Mitchell,PHO,G,165,58,21.30394858,US,"June 15, 1985",32,Utah,9,30,623,70,182,38.5,31,92,33.7,62,75,82.7,12,57,69,108,26,9,50,233,0,0 -Lindsay Allen,NY,G,173,65,21.71806609,US,"March 20, 1995",22,Notre Dame,R,23,314,21,50,42.0,0,11,0.0,6,9,66.7,8,28,36,47,13,1,18,48,0,0 -Lindsay Whalen,MIN,G,175,78,25.46938776,US,"September 5, 1982",34,Minnesota,14,22,520,69,153,45.1,12,34,35.3,27,36,75.0,8,46,54,90,11,2,44,177,0,0 -Lynetta Kizer,CON,C,193,104,27.92021262,US,"April 4, 1990",27,Maryland,5,20,238,48,100,48.0,0,1,0.0,23,30,76.7,22,35,57,6,11,7,10,119,0,0 -Maimouna Diarra,LA,C,198,90,22.95684114,SN,"January 30, 1991",26,Sengal,R,9,16,1,3,33.3,0,0,0.0,1,2,50.0,3,4,7,1,1,0,3,3,0,0 -Makayla Epps,CHI,G,178,,,US,"June 6, 1995",22,Kentucky,R,14,52,2,14,14.3,0,5,0.0,2,5,40.0,2,0,2,4,1,0,4,6,0,0 -Marissa Coleman,IND,G/F,185,73,21.32943755,US,"April 1, 1987",30,Maryland,9,30,539,50,152,32.9,27,79,34.2,27,33,81.8,7,53,60,25,8,4,34,154,0,0 -Matee Ajavon,ATL,G,173,73,24.39105884,US,"July 5, 1986",31,Syracruse,R,27,218,22,69,31.9,0,3,0.0,29,35,82.9,8,26,34,27,10,0,26,73,0,0 -Maya Moore,MIN,F,183,80,23.88844098,US,"November 6, 1989",27,Connecticut,7,29,904,170,398,42.7,52,132,39.4,98,114,86.0,50,106,156,99,53,13,56,490,3,0 -Monique Currie,PHO,G/F,183,80,23.88844098,US,"February 25, 1983",34,Duke,11,32,717,121,284,42.6,37,93,39.8,85,103,82.5,19,103,122,67,22,11,48,364,0,0 -Morgan Tuck,CON,F,188,91,25.74694432,US,"April 30, 1994",23,Connecticut,1,17,294,35,101,34.7,8,28,28.6,13,16,81.3,9,34,43,19,7,0,15,91,1,0 -Moriah Jefferson,SAN,G,168,55,19.48696145,US,"August 3, 1994",23,Connecticut,1,21,514,81,155,52.3,9,20,45.0,20,27,74.1,6,31,37,92,33,2,43,191,0,0 -Natalie Achonwa,IND,C,193,83,22.28247738,CA,"November 22, 1992",24,Notre Dame,3,30,529,82,151,54.3,0,0,0.0,43,55,78.2,31,70,101,21,11,16,25,207,0,0 -Natasha Cloud,WAS,G,183,73,21.79820239,US,"February 22, 1992",25,Saint Joseph's,3,24,448,37,118,31.4,12,51,23.5,20,27,74.1,7,52,59,69,17,3,23,106,0,0 -Natasha Howard,MIN,F,188,75,21.22000905,US,"February 9, 1991",26,Florida State,4,29,315,48,104,46.2,3,13,23.1,17,23,73.9,25,38,63,16,11,19,20,116,0,0 -Nayo Raincock-Ekunwe,NY,F/C,188,79,22.35174287,CA,"August 29, 1991",25,Simon Fraser,R,27,243,33,63,52.4,0,4,0.0,30,49,61.2,24,22,46,8,2,1,13,96,0,0 -Nia Coffey,SAN,F,185,77,22.49817385,US,"May 21, 1995",22,Northwestern,R,25,203,16,59,27.1,0,4,0.0,16,22,72.7,16,30,46,6,5,6,14,48,0,0 -Nneka Ogwumike,LA,F,188,79,22.35174287,US,"February 7, 1990",27,Stanford,6,30,948,215,386,55.7,18,49,36.7,129,148,87.2,57,179,236,63,53,14,47,577,9,0 -Noelle Quinn,SEA,G,183,81,24.18704649,US,"March 1, 1985",32,UCLA,11,29,459,24,58,41.4,14,35,40.0,17,18,94.4,1,48,49,78,12,5,27,79,0,0 -Odyssey Sims,LA,G,173,73,24.39105884,US,"July 13, 1992",25,Baylor,4,27,626,86,198,43.4,11,49,22.4,47,55,85.5,10,34,44,87,38,5,39,230,1,0 -Plenette Pierson,MIN,F/C,188,88,24.89814396,US,"August 31, 1981",35,Texas Tech,15,29,402,54,142,38.0,17,51,33.3,15,20,75.0,13,49,62,48,12,4,33,140,0,0 -Rachel Banham,CON,G,175,76,24.81632653,US,"July 15, 1993",24,Minnesota,2,26,238,32,87,36.8,16,48,33.3,16,20,80.0,2,27,29,20,4,0,12,96,0,0 -Ramu Tokashiki,SEA,F,193,80,21.47708663,JP,"November 6, 1991",25,Japan,1,29,378,42,92,45.7,0,3,0.0,22,27,81.5,19,29,48,16,8,8,25,106,0,0 -Rebecca Allen,NY,G/F,188,74,20.9370756,AU,"June 11, 1992",25,Australia,3,28,254,31,86,36.0,14,40,35.0,2,6,33.3,13,51,64,15,9,12,17,78,0,0 -Rebekkah Brunson,MIN,F,188,84,23.76641014,US,"November 12, 1981",35,Georgetown,14,26,719,97,218,44.5,22,60,36.7,62,83,74.7,46,135,181,40,31,9,42,278,2,0 -Renee Montgomery,MIN,G,170,63,21.79930796,US,"February 12, 1986",31,Connecticut,9,29,614,71,181,39.2,30,89,33.7,44,51,86.3,12,34,46,96,24,1,43,216,0,0 -Riquna Williams,LA,G,170,75,25.95155709,US,"May 28, 1990",27,Miami (FL),5,23,408,45,140,32.1,20,74,27.0,38,44,86.4,6,26,32,16,19,3,26,148,0,0 -Sami Whitcomb,SEA,G,178,66,20.83070319,US,"July 20, 1988",29,Washington,R,29,354,46,120,38.3,33,94,35.1,14,17,82.4,12,40,52,24,22,0,24,139,0,0 -Sancho Lyttle,ATL,F,193,79,21.20862305,ES,"September 20, 1983",33,Houston,13,25,703,71,163,43.6,1,7,14.3,13,19,68.4,42,138,180,41,40,17,34,156,0,0 -Sandrine Gruda,LA,F/C,193,84,22.55094096,FR,"June 25, 1987",30,France,5,4,12,1,3,33.3,0,0,0.0,0,0,0.0,0,2,2,0,0,0,2,2,0,0 -Saniya Chong,DAL,G,173,64,21.383942,US,"June 27, 1994",23,Connecticut,R,29,348,27,74,36.5,8,35,22.9,25,29,86.2,9,19,28,33,21,3,23,87,0,0 -Seimone Augustus,MIN,G/F,183,77,22.99262444,US,"April 30, 1984",33,LSU,12,27,756,125,251,49.8,18,41,43.9,30,35,85.7,12,70,82,108,17,1,39,298,1,0 -Sequoia Holmes,SAN,G,185,70,20.45288532,US,"June 13, 1986",31,UNLV,2,24,280,31,89,34.8,13,46,28.3,6,11,54.5,12,12,24,23,13,5,11,81,0,0 -Shatori Walker-Kimbrough,WAS,G,180,64,19.75308642,US,"May 18, 1995",22,Maryland,R,22,260,29,78,37.2,9,26,34.6,29,32,90.6,4,13,17,10,11,1,12,96,0,0 -Shavonte Zellous,NY,G,178,85,26.82742078,US,"August 28, 1986",30,Pittsburgh,9,29,865,107,249,43.0,14,41,34.1,118,144,81.9,30,92,122,87,23,8,62,346,1,0 -Shay Murphy,SAN,G,180,74,22.83950617,US,"April 15, 1985",32,Southern California,9,23,242,23,62,37.1,12,35,34.3,8,12,66.7,12,26,38,17,10,1,12,66,0,0 -Shekinna Stricklen,CON,G/F,188,81,22.91760978,US,"July 30, 1990",27,Tennessee,5,29,795,80,202,39.6,59,149,39.6,26,31,83.9,15,71,86,30,36,2,23,245,0,0 -Shenise Johnson,IND,G,180,78,24.07407407,US,"September 12, 1990",26,Miami (FL),6,14,348,55,127,43.3,10,30,33.3,38,40,95.0,13,35,48,35,21,4,18,158,0,0 -Skylar Diggins-Smith,DAL,G,175,66,21.55102041,US,"February 8, 1990",27,Notre Dame,4,30,1018,167,394,42.4,43,119,36.1,168,186,90.3,21,86,107,173,38,24,83,545,1,0 -Stefanie Dolson,CHI,C,196,97,25.24989588,US,"August 1, 1992",25,Connecticut,3,28,823,162,293,55.3,24,60,40.0,50,58,86.2,35,121,156,65,14,37,65,398,3,0 -Stephanie Talbot,PHO,G,185,87,25.42001461,AU,"December 20, 1990",26,Australia,R,30,555,47,114,41.2,15,38,39.5,29,44,65.9,28,58,86,50,22,8,28,138,0,0 -Sue Bird,SEA,G,175,68,22.20408163,US,"October 16, 1980",36,Connecticut,15,27,806,103,244,42.2,50,134,37.3,17,24,70.8,7,46,53,177,31,3,57,273,1,0 -Sugar Rodgers,NY,G,175,75,24.48979592,US,"August 12, 1989",28,Georgetown,6,28,745,108,310,34.8,59,163,36.2,42,52,80.8,21,85,106,68,28,17,43,317,0,0 -Sydney Colson,SAN,G,173,64,21.383942,US,"June 8, 1989",28,Texas A&M,3,25,296,25,78,32.1,2,10,20.0,20,30,66.7,3,11,14,51,13,2,25,72,0,0 -Sydney Wiese,LA,G,183,68,20.30517483,US,"July 13, 1992",25,Oregon State,R,25,189,19,50,38.0,13,32,40.6,4,8,50.0,3,18,21,6,4,3,2,55,0,0 -Sylvia Fowles,MIN,C,198,96,24.48729721,US,"June 10, 1985",32,LSU,10,29,895,222,336,66.1,0,0,0.0,128,162,79.0,113,184,297,39,39,61,71,572,16,0 -Tamera Young,ATL,G/F,188,77,21.78587596,US,"October 30, 1986",30,Tennessee,9,31,820,105,297,35.4,23,70,32.9,44,65,67.7,23,87,110,66,36,14,61,277,0,0 -Tayler Hill,WAS,G,175,66,21.55102041,US,"October 23, 1990",26,Ohio State,5,18,462,69,191,36.1,27,89,30.3,75,80,93.8,5,29,34,47,16,1,26,240,0,0 -Temi Fagbenle,MIN,C,193,89,23.89325888,UK,"August 9, 1992",25,Southern California,R,17,74,6,14,42.9,0,0,0.0,5,6,83.3,3,13,16,1,3,3,8,17,0,0 -Theresa Plaisance,DAL,F,196,91,23.68804665,US,"May 18, 1992",25,LSU,4,30,604,80,213,37.6,35,101,34.7,22,24,91.7,38,89,127,24,23,22,24,217,1,0 -Tianna Hawkins,WAS,F,191,87,23.84803048,US,"February 3, 1991",26,Maryland,4,29,483,79,165,47.9,11,41,26.8,41,43,95.3,42,82,124,9,15,7,23,210,0,0 -Tierra Ruffin-Pratt,WAS,G,178,83,26.19618735,US,"November 4, 1991",25,North Carolina,5,29,703,77,217,35.5,0,4,0.0,71,96,74.0,45,120,165,68,30,16,47,225,2,0 -Tiffany Hayes,ATL,G,178,70,22.09317005,US,"September 20, 1989",27,Connecticut,6,29,861,144,331,43.5,43,112,38.4,136,161,84.5,28,89,117,69,37,8,50,467,0,0 -Tiffany Jackson,LA,F,191,84,23.0256846,US,"April 26, 1985",32,Texas,9,22,127,12,25,48.0,0,1,0.0,4,6,66.7,5,18,23,3,1,3,8,28,0,0 -Tiffany Mitchell,IND,G,175,69,22.53061224,US,"September 23, 1984",32,South Carolina,2,27,671,83,238,34.9,17,69,24.6,94,102,92.2,16,70,86,39,31,5,40,277,0,0 -Tina Charles,NY,F/C,193,84,22.55094096,US,"May 12, 1988",29,Connecticut,8,29,952,227,509,44.6,18,56,32.1,110,135,81.5,56,212,268,75,21,22,71,582,11,0 +Name,Team,Pos,Height,Weight,BMI,Birth_Place,Birthdate,Age,College,Experience,Games Played,MIN,FGM,FGA,FG%,3PM,3PA,3P%,FTM,FTA,FT%,OREB,DREB,REB,AST,STL,BLK,TO,PTS,DD2,TD3 +Aerial Powers,DAL,F,183,71,21.20099137,US,"January 17, 1994",23,Michigan State,2,8,173,30,85,35.3,12,32,37.5,21,26,80.8,6,22,28,12,3,6,12,93,0,0 +Alana Beard,LA,G/F,185,73,21.32943755,US,"May 14, 1982",35,Duke,12,30,947,90,177,50.8,5,18,27.8,32,41,78.0,19,82,101,72,63,13,40,217,0,0 +Alex Bentley,CON,G,170,69,23.87543253,US,"October 27, 1990",26,Penn State,4,26,617,82,218,37.6,19,64,29.7,35,42,83.3,4,36,40,78,22,3,24,218,0,0 +Alex Montgomery,SAN,G/F,185,84,24.54346238,US,"December 11, 1988",28,Georgia Tech,6,31,721,75,195,38.5,21,68,30.9,17,21,81.0,35,134,169,65,20,10,38,188,2,0 +Alexis Jones,MIN,G,175,78,25.46938776,US,"August 5, 1994",23,Baylor,R,24,137,16,50,32.0,7,20,35.0,11,12,91.7,3,9,12,12,7,0,14,50,0,0 +Alexis Peterson,SEA,G,170,63,21.79930796,US,"June 20, 1995",22,Syracuse,R,14,90,9,34,26.5,2,9,22.2,6,6,100,3,13,16,11,5,0,11,26,0,0 +Alexis Prince,PHO,G,188,81,22.91760978,US,"February 5, 1994",23,Baylor,R,16,112,9,34,26.5,4,15,26.7,2,2,100,1,14,15,5,4,3,3,24,0,0 +Allie Quigley,CHI,G,178,64,20.19946976,US,"June 20, 1986",31,DePaul,8,26,847,166,319,52.0,70,150,46.7,40,46,87.0,9,83,92,95,20,13,59,442,0,0 +Allisha Gray,DAL,G,185,76,22.20598977,US,"October 20, 1992",24,South Carolina,2,30,834,131,346,37.9,29,103,28.2,104,129,80.6,52,75,127,40,47,19,37,395,0,0 +Allison Hightower,WAS,G,178,77,24.30248706,US,"June 4, 1988",29,LSU,5,7,103,14,38,36.8,2,11,18.2,6,6,100,3,7,10,10,5,0,2,36,0,0 +Alysha Clark,SEA,F,180,76,23.45679012,US,"July 7, 1987",30,Middle Tennessee,6,30,843,93,183,50.8,20,62,32.3,38,51,74.5,29,97,126,50,22,4,32,244,0,0 +Alyssa Thomas,CON,F,188,84,23.76641014,US,"December 4, 1992",24,Maryland,3,28,833,154,303,50.8,0,3,0.0,91,158,57.6,34,158,192,136,48,11,87,399,4,0 +Amanda Zahui B.,NY,C,196,113,29.41482716,SE,"August 9, 1993",24,Minnesota,3,25,133,20,53,37.7,2,8,25.0,9,12,75.0,5,18,23,7,4,5,12,51,0,0 +Amber Harris,CHI,F,196,88,22.90712203,US,"January 16, 1988",29,Xavier,3,22,146,18,44,40.9,0,10,0.0,5,8,62.5,12,28,40,5,3,9,6,41,0,0 +Aneika Henry,ATL,F/C,193,87,23.35633171,JM,"February 13, 1986",31,Florida,6,4,22,4,4,100,0,0,0.0,0,0,0.0,0,4,4,1,2,0,3,8,0,0 +Angel Robinson,PHO,F/C,198,88,22.44668911,US,"August 30, 1995",21,Arizona State,1,15,237,25,44,56.8,1,1,100,7,7,100,16,42,58,8,1,11,16,58,0,0 +Asia Taylor,WAS,F,185,76,22.20598977,US,"August 22, 1991",26,Louisville,3,20,128,10,31,32.3,0,0,0.0,11,18,61.1,16,21,37,9,5,2,10,31,0,0 +Bashaara Graves,CHI,F,188,91,25.74694432,US,"March 17, 1994",23,Tennessee,1,5,59,8,14,57.1,0,0,0.0,3,4,75.0,4,13,17,3,0,1,3,19,0,0 +Breanna Lewis,DAL,C,196,93,24.20866306,US,"June 22, 1994",23,Kansas State,R,12,50,2,12,16.7,0,0,0.0,3,4,75.0,2,7,9,2,0,0,7,7,0,0 +Breanna Stewart,SEA,F/C,193,77,20.67169588,US,"August 27, 1994",22,Connecticut,2,29,952,201,417,48.2,46,123,37.4,136,171,79.5,43,206,249,78,29,47,68,584,8,0 +Bria Hartley,NY,G,173,66,22.05219018,US,"September 30, 1992",24,Connecticut,4,29,598,80,192,41.7,32,93,34.4,25,33,75.8,7,50,57,58,15,5,44,217,0,0 +Bria Holmes,ATL,G,185,77,22.49817385,US,"April 19, 1994",23,West Virginia,R,28,655,85,231,36.8,9,50,18.0,56,84,66.7,29,56,85,52,23,7,31,235,0,0 +Briann January,IND,G,173,65,21.71806609,US,"November 1, 1987",29,Arizona State,9,25,657,81,205,39.5,18,57,31.6,58,71,81.7,12,25,37,98,23,4,53,238,0,0 +Brionna Jones,CON,F,191,104,28.50799046,US,"December 18, 1995",21,Maryland,R,19,112,14,26,53.8,0,0,0.0,16,19,84.2,11,14,25,2,7,1,7,44,0,0 +Brittany Boyd,NY,G,175,71,23.18367347,US,"November 6, 1993",23,UC Berkeley,3,2,32,9,15,60.0,0,1,0.0,8,11,72.7,3,5,8,5,3,0,2,26,0,0 +Brittney Griner,PHO,C,206,93,21.91535489,US,"October 18, 1990",26,Baylor,5,22,682,167,293,57.0,0,0,0.0,127,154,82.5,43,129,172,39,13,54,52,461,6,0 +Brittney Sykes,ATL,G,175,66,21.55102041,US,"July 2, 1994",23,Rutgers,10,30,734,146,362,40.3,29,87,33.3,76,102,74.5,25,94,119,59,18,17,49,397,1,0 +Camille Little,PHO,F,188,82,23.20054323,US,"January 18, 1985",32,North Carolina,11,30,759,93,219,42.5,9,52,17.3,33,52,63.5,42,71,113,42,28,13,50,228,0,0 +Candace Parker,LA,F/C,193,79,21.20862305,US,"April 19, 1986",31,Tennessee,10,29,889,183,383,47.8,40,114,35.1,88,115,76.5,37,205,242,127,43,53,80,494,10,1 +Candice Dupree,IND,F,188,81,22.91760978,US,"February 25, 1984",33,Temple,12,29,911,189,370,51.1,0,2,0.0,57,65,87.7,31,124,155,47,28,12,42,435,2,0 +Cappie Pondexter,CHI,G,175,73,23.83673469,US,"July 1, 1983",34,Rutgers,11,24,676,94,258,36.4,8,32,25.0,54,67,80.6,10,59,69,104,17,5,56,250,2,0 +Carolyn Swords,SEA,C,198,95,24.2322212,US,"July 19, 1989",28,Boston College,6,26,218,19,39,48.7,0,0,0.0,16,20,80.0,10,29,39,9,5,4,22,54,0,0 +Cayla George,PHO,C,193,87,23.35633171,AU,"April 20, 1987",30,Georgia,1,28,365,40,105,38.1,13,45,28.9,7,12,58.3,10,71,81,15,9,11,13,100,1,0 +Chelsea Gray,LA,G,180,77,23.7654321,US,"August 10, 1992",25,Duke,3,30,996,165,326,50.6,48,100,48.0,78,94,83.0,19,80,99,132,29,7,61,456,1,0 +Cheyenne Parker,CHI,F,193,86,23.08786813,US,"August 22, 1992",25,Middle Tennessee,2,23,286,32,69,46.4,0,3,0.0,23,36,63.9,31,47,78,13,8,15,21,87,0,0 +Clarissa dos Santos,SAN,C,185,89,26.00438276,BR,"October 3, 1988",28,Brazil,4,7,52,8,14,57.1,1,1,100,0,0,0.0,3,7,10,7,1,1,5,17,0,0 +Courtney Paris,DAL,C,193,113,30.33638487,US,"September 21, 1987",29,Oklahoma,7,16,217,32,57,56.1,0,0,0.0,6,12,50.0,28,34,62,5,6,8,18,70,0,0 +Courtney Vandersloot,CHI,G,173,66,22.05219018,US,"August 2, 1989",28,Gonzaga,6,22,673,104,199,52.3,23,60,38.3,24,29,82.8,13,75,88,175,22,5,64,255,10,0 +Courtney Williams,CON,G,173,62,20.71569381,US,"November 5, 1994",22,South Florida,1,29,755,168,338,49.7,8,30,26.7,31,36,86.1,38,84,122,60,15,6,39,375,1,0 +Crystal Langhorne,SEA,F/C,188,84,23.76641014,US,"October 27, 1986",30,Maryland,10,30,848,160,240,66.7,1,2,50.0,49,68,72.1,35,140,175,46,16,11,50,370,2,0 +Damiris Dantas,ATL,C,191,89,24.39626107,BR,"November 17, 1992",24,Brazil,4,30,569,98,243,40.3,25,91,27.5,33,43,76.7,29,84,113,19,17,18,26,254,0,0 +Danielle Adams,CON,F/C,185,108,31.5558802,US,"February 19, 1989",28,Texas A&M,5,18,81,16,43,37.2,12,30,40.0,5,5,100,6,4,10,4,4,4,7,49,0,0 +Danielle Robinson,PHO,G,175,57,18.6122449,US,"October 5, 1989",27,Oklahoma,7,28,680,79,178,44.4,0,5,0.0,51,61,83.6,13,73,86,106,33,4,58,209,0,0 +Dearica Hamby,SAN,F,191,86,23.57391519,US,"June 11, 1993",24,Wake Forest,2,31,650,96,207,46.4,3,8,37.5,58,95,61.1,48,91,139,32,29,8,43,253,1,0 +Devereaux Peters,IND,F,188,79,22.35174287,US,"August 10, 1989",28,Notre Dame,6,28,796,154,380,40.5,88,225,39.1,118,130,90.8,8,69,77,76,16,9,56,514,0,0 +Diana Taurasi,PHO,G,183,74,22.09680791,US,"November 6, 1982",34,Connecticut,13,20,591,121,255,47.5,22,66,33.3,112,118,94.9,31,98,129,32,20,31,28,376,3,0 +Elena Delle Donne,WAS,G/F,196,85,22.12619742,US,"May 9, 1989",28,Delaware,5,30,939,133,272,48.9,0,1,0.0,51,78,65.4,99,116,215,43,32,64,36,317,4,0 +Elizabeth Williams,ATL,F/C,191,87,23.84803048,US,"June 23, 1993",24,Duke,3,30,377,48,96,50.0,0,1,0.0,32,55,58.2,35,61,96,5,5,4,21,128,0,0 +Emma Cannon,PHO,F,188,86,24.33227705,US,"January 6, 1989",28,Central Florida,R,18,508,105,220,47.7,11,33,33.3,31,34,91.2,33,72,105,52,21,27,30,252,1,0 +Emma Meesseman,WAS,C,193,83,22.28247738,BE,"May 13, 1993",24,Belgium,5,23,617,89,233,38.2,25,79,31.6,56,65,86.2,23,58,81,70,34,5,30,259,0,0 +Epiphanny Prince,NY,G,175,81,26.44897959,US,"November 1, 1988",28,Rutgers,8,26,282,36,86,41.9,1,3,33.3,15,22,68.2,17,44,61,5,4,8,17,88,0,0 +Erica Wheeler,IND,G,170,65,22.49134948,US,"February 5, 1991",26,Rutgers,3,30,767,130,321,40.5,42,129,32.6,34,40,85.0,11,57,68,117,38,1,68,336,0,0 +Érika de Souza,SAN,C,196,86,22.38650562,BR,"September 3, 1982",34,Brazil,13,30,579,65,112,58.0,0,0,0.0,29,32,90.6,58,74,132,35,18,7,37,159,0,0 +Erlana Larkins,IND,F,185,93,27.17311907,US,"February 4, 1986",31,North Carolina,9,20,386,36,92,39.1,9,35,25.7,21,24,87.5,9,26,35,24,11,8,13,102,0,0 +Essence Carson,LA,G/F,183,74,22.09680791,US,"July 28, 1986",31,Rutgers,10,15,61,4,16,25.0,0,0,0.0,5,6,83.3,7,2,9,0,1,3,5,13,0,0 +Evelyn Akhator,DAL,F,191,82,22.47745402,NG,"March 2, 1995",22,Kentucky,R,30,926,165,365,45.2,20,60,33.3,92,117,78.6,73,199,272,50,37,13,67,442,13,0 +Glory Johnson,DAL,F,191,77,21.10687755,US,"July 27, 1990",27,Tennessee,4,4,42,3,9,33.3,3,6,50.0,0,0,0.0,0,3,3,1,0,0,4,9,0,0 +Imani Boyette,ATL,C,201,88,21.78163907,US,"November 10, 1992",24,Texas,1,29,410,56,119,47.1,1,3,33.3,14,20,70.0,43,75,118,14,9,23,22,127,1,0 +Isabelle Harrison,SAN,C,191,83,22.75156931,US,"September 27, 1993",23,Kentucky,3,31,832,154,300,51.3,1,2,50.0,55,85,64.7,66,134,200,46,26,24,63,364,5,0 +Ivory Latta,WAS,G,168,63,22.32142857,US,"September 25, 1984",32,North Carolina,12,29,499,79,218,36.2,40,114,35.1,47,55,85.5,7,20,27,49,12,1,22,245,0,0 +Jantel Lavender,LA,C,193,84,22.55094096,US,"December 11, 1988",28,Ohio State,7,28,481,89,184,48.4,4,13,30.8,18,22,81.8,31,56,87,28,8,5,35,200,0,0 +Jasmine Thomas,CON,G,175,66,21.55102041,US,"September 30, 1989",27,Duke,6,27,762,151,341,44.3,50,116,43.1,39,55,70.9,9,55,64,118,45,4,58,391,1,0 +Jazmon Gwathmey,IND,G,188,65,18.39067451,PR,"January 24, 1993",24,James Madison,2,24,371,50,140,35.7,12,49,24.5,30,39,76.9,15,34,49,17,13,19,32,142,0,0 +Jeanette Pohlen,IND,G,183,78,23.29122996,US,"February 5, 1989",28,Stanford,6,25,278,20,52,38.5,13,29,44.8,17,20,85.0,3,19,22,13,5,0,15,70,0,0 +Jennifer Hamson,IND,C,201,95,23.51426945,US,"January 23, 1992",25,Brigham Young,1,10,50,2,12,16.7,0,3,0.0,8,10,80.0,5,6,11,6,2,2,3,12,0,0 +Jessica Breland,CHI,F,191,77,21.10687755,US,"February 23, 1988",29,North Carolina,5,10,78,9,16,56.3,0,0,0.0,4,5,80.0,5,13,18,2,1,9,3,22,0,0 +Jewell Loyd,SEA,G,178,67,21.14631991,US,"May 10, 1993",24,Notre Dame,3,29,715,116,245,47.3,8,21,38.1,28,37,75.7,50,139,189,46,18,50,57,268,4,0 +Jia Perkins,MIN,G,173,75,25.05930703,US,"February 23, 1982",35,Texas Tech,14,30,932,178,420,42.4,47,123,38.2,114,134,85.1,24,72,96,103,41,11,83,517,0,0 +Jonquel Jones,CON,F/C,198,86,21.93653709,BS,"May 1, 1994",23,George Washington,1,29,463,47,124,37.9,11,32,34.4,11,15,73.3,11,46,57,39,30,1,24,116,0,0 +Jordan Hooper,CHI,F,188,84,23.76641014,US,"February 20, 1992",25,Nebraska,3,29,833,164,299,54.8,22,49,44.9,117,142,82.4,108,226,334,40,29,46,46,467,17,0 +Kaela Davis,DAL,G,188,77,21.78587596,US,"March 15, 1995",22,South Carolina,R,23,208,27,75,36.0,20,55,36.4,3,4,75.0,2,20,22,5,7,1,6,77,0,0 +Kahleah Copper,CHI,G/F,185,70,20.45288532,US,"August 28, 1994",22,Rutgers,1,29,475,62,163,38.0,12,32,37.5,49,65,75.4,10,33,43,32,13,3,48,185,0,0 +Kaleena Mosqueda-Lewis,SEA,F,180,82,25.30864198,US,"March 11, 1993",24,Connecticut,3,29,369,60,140,42.9,5,23,21.7,36,45,80.0,11,43,54,11,9,2,22,161,0,0 +Karima Christmas-Kelly,DAL,G/F,183,82,24.48565201,US,"November 9, 1989",27,Duke,6,14,142,23,43,53.5,9,21,42.9,10,10,100,4,10,14,6,1,1,13,65,0,0 +Kayla Alexander,SAN,C,193,88,23.6247953,CA,"May 1, 1991",26,Arizona State,4,30,889,91,239,38.1,25,83,30.1,111,129,86.0,45,75,120,65,39,5,50,318,0,0 +Kayla McBride,SAN,G/F,180,79,24.38271605,US,"June 25, 1992",25,Notre Dame,3,31,433,78,141,55.3,0,0,0.0,15,16,93.8,40,47,87,17,13,15,30,171,0,0 +Kayla Pedersen,CON,F,193,86,23.08786813,US,"April 14, 1989",28,Stanford,5,27,882,128,337,38.0,47,147,32.0,108,118,91.5,12,93,105,59,32,5,54,411,0,0 +Kayla Thornton,DAL,F,185,86,25.12783053,US,"October 20, 1992",24,Texas–El Paso,2,21,224,11,30,36.7,0,1,0.0,10,14,71.4,19,26,45,13,6,2,9,32,0,0 +Keisha Hampton,CHI,F,185,78,22.79035793,US,"February 22, 1990",27,DePaul,1,30,504,64,157,40.8,14,52,26.9,65,81,80.2,36,59,95,24,20,7,21,207,0,0 +Kelsey Plum,SAN,G,173,66,22.05219018,US,"August 24, 1994",23,Washington,R,28,610,73,210,34.8,29,78,37.2,50,58,86.2,11,42,53,91,13,4,72,225,0,0 +Kia Vaughn,NY,C,193,90,24.16172246,US,"January 24, 1987",30,Rutgers,9,23,455,62,116,53.4,0,0,0.0,10,19,52.6,39,71,110,16,8,9,21,134,1,0 +Kiah Stokes,NY,C,191,87,23.84803048,US,"March 30, 1993",24,Connecticut,3,29,576,50,98,51.0,0,1,0.0,41,52,78.8,63,122,185,21,8,32,33,141,3,0 +Kristi Toliver,WAS,G,170,59,20.41522491,US,"January 27, 1987",30,Maryland,9,29,845,119,284,41.9,67,194,34.5,44,49,89.8,9,50,59,91,20,8,48,349,0,0 +Krystal Thomas,WAS,C,196,88,22.90712203,US,"October 6, 1989",27,Duke,6,29,737,81,149,54.4,0,0,0.0,37,61,60.7,97,172,269,30,15,31,45,199,2,0 +Lanay Montgomery,SEA,C,196,96,24.98958767,US,"September 17, 1993",23,West Virginia,R,7,28,3,7,42.9,0,0,0.0,0,0,0.0,0,5,5,0,1,4,2,6,0,0 +Layshia Clarendon,ATL,G,175,64,20.89795918,US,"February 5, 1991",26,UC Berkeley,5,30,900,124,320,38.8,8,53,15.1,73,81,90.1,27,88,115,206,29,1,82,329,3,0 +Leilani Mitchell,PHO,G,165,58,21.30394858,US,"June 15, 1985",32,Utah,9,30,623,70,182,38.5,31,92,33.7,62,75,82.7,12,57,69,108,26,9,50,233,0,0 +Lindsay Allen,NY,G,173,65,21.71806609,US,"March 20, 1995",22,Notre Dame,R,23,314,21,50,42.0,0,11,0.0,6,9,66.7,8,28,36,47,13,1,18,48,0,0 +Lindsay Whalen,MIN,G,175,78,25.46938776,US,"September 5, 1982",34,Minnesota,14,22,520,69,153,45.1,12,34,35.3,27,36,75.0,8,46,54,90,11,2,44,177,0,0 +Lynetta Kizer,CON,C,193,104,27.92021262,US,"April 4, 1990",27,Maryland,5,20,238,48,100,48.0,0,1,0.0,23,30,76.7,22,35,57,6,11,7,10,119,0,0 +Maimouna Diarra,LA,C,198,90,22.95684114,SN,"January 30, 1991",26,Sengal,R,9,16,1,3,33.3,0,0,0.0,1,2,50.0,3,4,7,1,1,0,3,3,0,0 +Makayla Epps,CHI,G,178,,,US,"June 6, 1995",22,Kentucky,R,14,52,2,14,14.3,0,5,0.0,2,5,40.0,2,0,2,4,1,0,4,6,0,0 +Marissa Coleman,IND,G/F,185,73,21.32943755,US,"April 1, 1987",30,Maryland,9,30,539,50,152,32.9,27,79,34.2,27,33,81.8,7,53,60,25,8,4,34,154,0,0 +Matee Ajavon,ATL,G,173,73,24.39105884,US,"July 5, 1986",31,Syracruse,R,27,218,22,69,31.9,0,3,0.0,29,35,82.9,8,26,34,27,10,0,26,73,0,0 +Maya Moore,MIN,F,183,80,23.88844098,US,"November 6, 1989",27,Connecticut,7,29,904,170,398,42.7,52,132,39.4,98,114,86.0,50,106,156,99,53,13,56,490,3,0 +Monique Currie,PHO,G/F,183,80,23.88844098,US,"February 25, 1983",34,Duke,11,32,717,121,284,42.6,37,93,39.8,85,103,82.5,19,103,122,67,22,11,48,364,0,0 +Morgan Tuck,CON,F,188,91,25.74694432,US,"April 30, 1994",23,Connecticut,1,17,294,35,101,34.7,8,28,28.6,13,16,81.3,9,34,43,19,7,0,15,91,1,0 +Moriah Jefferson,SAN,G,168,55,19.48696145,US,"August 3, 1994",23,Connecticut,1,21,514,81,155,52.3,9,20,45.0,20,27,74.1,6,31,37,92,33,2,43,191,0,0 +Natalie Achonwa,IND,C,193,83,22.28247738,CA,"November 22, 1992",24,Notre Dame,3,30,529,82,151,54.3,0,0,0.0,43,55,78.2,31,70,101,21,11,16,25,207,0,0 +Natasha Cloud,WAS,G,183,73,21.79820239,US,"February 22, 1992",25,Saint Joseph's,3,24,448,37,118,31.4,12,51,23.5,20,27,74.1,7,52,59,69,17,3,23,106,0,0 +Natasha Howard,MIN,F,188,75,21.22000905,US,"February 9, 1991",26,Florida State,4,29,315,48,104,46.2,3,13,23.1,17,23,73.9,25,38,63,16,11,19,20,116,0,0 +Nayo Raincock-Ekunwe,NY,F/C,188,79,22.35174287,CA,"August 29, 1991",25,Simon Fraser,R,27,243,33,63,52.4,0,4,0.0,30,49,61.2,24,22,46,8,2,1,13,96,0,0 +Nia Coffey,SAN,F,185,77,22.49817385,US,"May 21, 1995",22,Northwestern,R,25,203,16,59,27.1,0,4,0.0,16,22,72.7,16,30,46,6,5,6,14,48,0,0 +Nneka Ogwumike,LA,F,188,79,22.35174287,US,"February 7, 1990",27,Stanford,6,30,948,215,386,55.7,18,49,36.7,129,148,87.2,57,179,236,63,53,14,47,577,9,0 +Noelle Quinn,SEA,G,183,81,24.18704649,US,"March 1, 1985",32,UCLA,11,29,459,24,58,41.4,14,35,40.0,17,18,94.4,1,48,49,78,12,5,27,79,0,0 +Odyssey Sims,LA,G,173,73,24.39105884,US,"July 13, 1992",25,Baylor,4,27,626,86,198,43.4,11,49,22.4,47,55,85.5,10,34,44,87,38,5,39,230,1,0 +Plenette Pierson,MIN,F/C,188,88,24.89814396,US,"August 31, 1981",35,Texas Tech,15,29,402,54,142,38.0,17,51,33.3,15,20,75.0,13,49,62,48,12,4,33,140,0,0 +Rachel Banham,CON,G,175,76,24.81632653,US,"July 15, 1993",24,Minnesota,2,26,238,32,87,36.8,16,48,33.3,16,20,80.0,2,27,29,20,4,0,12,96,0,0 +Ramu Tokashiki,SEA,F,193,80,21.47708663,JP,"November 6, 1991",25,Japan,1,29,378,42,92,45.7,0,3,0.0,22,27,81.5,19,29,48,16,8,8,25,106,0,0 +Rebecca Allen,NY,G/F,188,74,20.9370756,AU,"June 11, 1992",25,Australia,3,28,254,31,86,36.0,14,40,35.0,2,6,33.3,13,51,64,15,9,12,17,78,0,0 +Rebekkah Brunson,MIN,F,188,84,23.76641014,US,"November 12, 1981",35,Georgetown,14,26,719,97,218,44.5,22,60,36.7,62,83,74.7,46,135,181,40,31,9,42,278,2,0 +Renee Montgomery,MIN,G,170,63,21.79930796,US,"February 12, 1986",31,Connecticut,9,29,614,71,181,39.2,30,89,33.7,44,51,86.3,12,34,46,96,24,1,43,216,0,0 +Riquna Williams,LA,G,170,75,25.95155709,US,"May 28, 1990",27,Miami (FL),5,23,408,45,140,32.1,20,74,27.0,38,44,86.4,6,26,32,16,19,3,26,148,0,0 +Sami Whitcomb,SEA,G,178,66,20.83070319,US,"July 20, 1988",29,Washington,R,29,354,46,120,38.3,33,94,35.1,14,17,82.4,12,40,52,24,22,0,24,139,0,0 +Sancho Lyttle,ATL,F,193,79,21.20862305,ES,"September 20, 1983",33,Houston,13,25,703,71,163,43.6,1,7,14.3,13,19,68.4,42,138,180,41,40,17,34,156,0,0 +Sandrine Gruda,LA,F/C,193,84,22.55094096,FR,"June 25, 1987",30,France,5,4,12,1,3,33.3,0,0,0.0,0,0,0.0,0,2,2,0,0,0,2,2,0,0 +Saniya Chong,DAL,G,173,64,21.383942,US,"June 27, 1994",23,Connecticut,R,29,348,27,74,36.5,8,35,22.9,25,29,86.2,9,19,28,33,21,3,23,87,0,0 +Seimone Augustus,MIN,G/F,183,77,22.99262444,US,"April 30, 1984",33,LSU,12,27,756,125,251,49.8,18,41,43.9,30,35,85.7,12,70,82,108,17,1,39,298,1,0 +Sequoia Holmes,SAN,G,185,70,20.45288532,US,"June 13, 1986",31,UNLV,2,24,280,31,89,34.8,13,46,28.3,6,11,54.5,12,12,24,23,13,5,11,81,0,0 +Shatori Walker-Kimbrough,WAS,G,180,64,19.75308642,US,"May 18, 1995",22,Maryland,R,22,260,29,78,37.2,9,26,34.6,29,32,90.6,4,13,17,10,11,1,12,96,0,0 +Shavonte Zellous,NY,G,178,85,26.82742078,US,"August 28, 1986",30,Pittsburgh,9,29,865,107,249,43.0,14,41,34.1,118,144,81.9,30,92,122,87,23,8,62,346,1,0 +Shay Murphy,SAN,G,180,74,22.83950617,US,"April 15, 1985",32,Southern California,9,23,242,23,62,37.1,12,35,34.3,8,12,66.7,12,26,38,17,10,1,12,66,0,0 +Shekinna Stricklen,CON,G/F,188,81,22.91760978,US,"July 30, 1990",27,Tennessee,5,29,795,80,202,39.6,59,149,39.6,26,31,83.9,15,71,86,30,36,2,23,245,0,0 +Shenise Johnson,IND,G,180,78,24.07407407,US,"September 12, 1990",26,Miami (FL),6,14,348,55,127,43.3,10,30,33.3,38,40,95.0,13,35,48,35,21,4,18,158,0,0 +Skylar Diggins-Smith,DAL,G,175,66,21.55102041,US,"February 8, 1990",27,Notre Dame,4,30,1018,167,394,42.4,43,119,36.1,168,186,90.3,21,86,107,173,38,24,83,545,1,0 +Stefanie Dolson,CHI,C,196,97,25.24989588,US,"August 1, 1992",25,Connecticut,3,28,823,162,293,55.3,24,60,40.0,50,58,86.2,35,121,156,65,14,37,65,398,3,0 +Stephanie Talbot,PHO,G,185,87,25.42001461,AU,"December 20, 1990",26,Australia,R,30,555,47,114,41.2,15,38,39.5,29,44,65.9,28,58,86,50,22,8,28,138,0,0 +Sue Bird,SEA,G,175,68,22.20408163,US,"October 16, 1980",36,Connecticut,15,27,806,103,244,42.2,50,134,37.3,17,24,70.8,7,46,53,177,31,3,57,273,1,0 +Sugar Rodgers,NY,G,175,75,24.48979592,US,"August 12, 1989",28,Georgetown,6,28,745,108,310,34.8,59,163,36.2,42,52,80.8,21,85,106,68,28,17,43,317,0,0 +Sydney Colson,SAN,G,173,64,21.383942,US,"June 8, 1989",28,Texas A&M,3,25,296,25,78,32.1,2,10,20.0,20,30,66.7,3,11,14,51,13,2,25,72,0,0 +Sydney Wiese,LA,G,183,68,20.30517483,US,"July 13, 1992",25,Oregon State,R,25,189,19,50,38.0,13,32,40.6,4,8,50.0,3,18,21,6,4,3,2,55,0,0 +Sylvia Fowles,MIN,C,198,96,24.48729721,US,"June 10, 1985",32,LSU,10,29,895,222,336,66.1,0,0,0.0,128,162,79.0,113,184,297,39,39,61,71,572,16,0 +Tamera Young,ATL,G/F,188,77,21.78587596,US,"October 30, 1986",30,Tennessee,9,31,820,105,297,35.4,23,70,32.9,44,65,67.7,23,87,110,66,36,14,61,277,0,0 +Tayler Hill,WAS,G,175,66,21.55102041,US,"October 23, 1990",26,Ohio State,5,18,462,69,191,36.1,27,89,30.3,75,80,93.8,5,29,34,47,16,1,26,240,0,0 +Temi Fagbenle,MIN,C,193,89,23.89325888,UK,"August 9, 1992",25,Southern California,R,17,74,6,14,42.9,0,0,0.0,5,6,83.3,3,13,16,1,3,3,8,17,0,0 +Theresa Plaisance,DAL,F,196,91,23.68804665,US,"May 18, 1992",25,LSU,4,30,604,80,213,37.6,35,101,34.7,22,24,91.7,38,89,127,24,23,22,24,217,1,0 +Tianna Hawkins,WAS,F,191,87,23.84803048,US,"February 3, 1991",26,Maryland,4,29,483,79,165,47.9,11,41,26.8,41,43,95.3,42,82,124,9,15,7,23,210,0,0 +Tierra Ruffin-Pratt,WAS,G,178,83,26.19618735,US,"November 4, 1991",25,North Carolina,5,29,703,77,217,35.5,0,4,0.0,71,96,74.0,45,120,165,68,30,16,47,225,2,0 +Tiffany Hayes,ATL,G,178,70,22.09317005,US,"September 20, 1989",27,Connecticut,6,29,861,144,331,43.5,43,112,38.4,136,161,84.5,28,89,117,69,37,8,50,467,0,0 +Tiffany Jackson,LA,F,191,84,23.0256846,US,"April 26, 1985",32,Texas,9,22,127,12,25,48.0,0,1,0.0,4,6,66.7,5,18,23,3,1,3,8,28,0,0 +Tiffany Mitchell,IND,G,175,69,22.53061224,US,"September 23, 1984",32,South Carolina,2,27,671,83,238,34.9,17,69,24.6,94,102,92.2,16,70,86,39,31,5,40,277,0,0 +Tina Charles,NY,F/C,193,84,22.55094096,US,"May 12, 1988",29,Connecticut,8,29,952,227,509,44.6,18,56,32.1,110,135,81.5,56,212,268,75,21,22,71,582,11,0 Yvonne Turner,PHO,G,175,59,19.26530612,US,"October 13, 1987",29,Nebraska,2,30,356,59,140,42.1,11,47,23.4,22,28,78.6,11,13,24,30,18,1,32,151,0,0 \ No newline at end of file diff --git a/your-code/wnba_clean.csv b/your-code/wnba_clean.csv new file mode 100644 index 0000000..6513af0 --- /dev/null +++ b/your-code/wnba_clean.csv @@ -0,0 +1,143 @@ +,Name,Team,Pos,Height,Weight,BMI,Birth_Place,Birthdate,Age,College,Experience,Games Played,MIN,FGM,FGA,FG%,3PM,3PA,3P%,FTM,FTA,FT%,OREB,DREB,REB,AST,STL,BLK,TO,PTS,DD2,TD3 +0,Aerial Powers,DAL,F,183,71.0,21.20099137,US,"January 17, 1994",23,Michigan State,2,8,173,30,85,35.3,12,32,37.5,21,26,80.8,6,22,28,12,3,6,12,93,0,0 +1,Alana Beard,LA,G/F,185,73.0,21.32943755,US,"May 14, 1982",35,Duke,12,30,947,90,177,50.8,5,18,27.8,32,41,78.0,19,82,101,72,63,13,40,217,0,0 +2,Alex Bentley,CON,G,170,69.0,23.87543253,US,"October 27, 1990",26,Penn State,4,26,617,82,218,37.6,19,64,29.7,35,42,83.3,4,36,40,78,22,3,24,218,0,0 +3,Alex Montgomery,SAN,G/F,185,84.0,24.54346238,US,"December 11, 1988",28,Georgia Tech,6,31,721,75,195,38.5,21,68,30.9,17,21,81.0,35,134,169,65,20,10,38,188,2,0 +4,Alexis Jones,MIN,G,175,78.0,25.46938776,US,"August 5, 1994",23,Baylor,R,24,137,16,50,32.0,7,20,35.0,11,12,91.7,3,9,12,12,7,0,14,50,0,0 +5,Alexis Peterson,SEA,G,170,63.0,21.79930796,US,"June 20, 1995",22,Syracuse,R,14,90,9,34,26.5,2,9,22.2,6,6,100.0,3,13,16,11,5,0,11,26,0,0 +6,Alexis Prince,PHO,G,188,81.0,22.91760978,US,"February 5, 1994",23,Baylor,R,16,112,9,34,26.5,4,15,26.7,2,2,100.0,1,14,15,5,4,3,3,24,0,0 +7,Allie Quigley,CHI,G,178,64.0,20.19946976,US,"June 20, 1986",31,DePaul,8,26,847,166,319,52.0,70,150,46.7,40,46,87.0,9,83,92,95,20,13,59,442,0,0 +8,Allisha Gray,DAL,G,185,76.0,22.20598977,US,"October 20, 1992",24,South Carolina,2,30,834,131,346,37.9,29,103,28.2,104,129,80.6,52,75,127,40,47,19,37,395,0,0 +9,Allison Hightower,WAS,G,178,77.0,24.30248706,US,"June 4, 1988",29,LSU,5,7,103,14,38,36.8,2,11,18.2,6,6,100.0,3,7,10,10,5,0,2,36,0,0 +10,Alysha Clark,SEA,F,180,76.0,23.45679012,US,"July 7, 1987",30,Middle Tennessee,6,30,843,93,183,50.8,20,62,32.3,38,51,74.5,29,97,126,50,22,4,32,244,0,0 +11,Alyssa Thomas,CON,F,188,84.0,23.76641014,US,"December 4, 1992",24,Maryland,3,28,833,154,303,50.8,0,3,0.0,91,158,57.6,34,158,192,136,48,11,87,399,4,0 +12,Amanda Zahui B.,NY,C,196,113.0,29.41482716,SE,"August 9, 1993",24,Minnesota,3,25,133,20,53,37.7,2,8,25.0,9,12,75.0,5,18,23,7,4,5,12,51,0,0 +13,Amber Harris,CHI,F,196,88.0,22.90712203,US,"January 16, 1988",29,Xavier,3,22,146,18,44,40.9,0,10,0.0,5,8,62.5,12,28,40,5,3,9,6,41,0,0 +14,Aneika Henry,ATL,F/C,193,87.0,23.35633171,JM,"February 13, 1986",31,Florida,6,4,22,4,4,100.0,0,0,0.0,0,0,0.0,0,4,4,1,2,0,3,8,0,0 +15,Angel Robinson,PHO,F/C,198,88.0,22.44668911,US,"August 30, 1995",21,Arizona State,1,15,237,25,44,56.8,1,1,100.0,7,7,100.0,16,42,58,8,1,11,16,58,0,0 +16,Asia Taylor,WAS,F,185,76.0,22.20598977,US,"August 22, 1991",26,Louisville,3,20,128,10,31,32.3,0,0,0.0,11,18,61.1,16,21,37,9,5,2,10,31,0,0 +17,Bashaara Graves,CHI,F,188,91.0,25.74694432,US,"March 17, 1994",23,Tennessee,1,5,59,8,14,57.1,0,0,0.0,3,4,75.0,4,13,17,3,0,1,3,19,0,0 +18,Breanna Lewis,DAL,C,196,93.0,24.20866306,US,"June 22, 1994",23,Kansas State,R,12,50,2,12,16.7,0,0,0.0,3,4,75.0,2,7,9,2,0,0,7,7,0,0 +19,Breanna Stewart,SEA,F/C,193,77.0,20.67169588,US,"August 27, 1994",22,Connecticut,2,29,952,201,417,48.2,46,123,37.4,136,171,79.5,43,206,249,78,29,47,68,584,8,0 +20,Bria Hartley,NY,G,173,66.0,22.05219018,US,"September 30, 1992",24,Connecticut,4,29,598,80,192,41.7,32,93,34.4,25,33,75.8,7,50,57,58,15,5,44,217,0,0 +21,Bria Holmes,ATL,G,185,77.0,22.49817385,US,"April 19, 1994",23,West Virginia,R,28,655,85,231,36.8,9,50,18.0,56,84,66.7,29,56,85,52,23,7,31,235,0,0 +22,Briann January,IND,G,173,65.0,21.71806609,US,"November 1, 1987",29,Arizona State,9,25,657,81,205,39.5,18,57,31.6,58,71,81.7,12,25,37,98,23,4,53,238,0,0 +23,Brionna Jones,CON,F,191,104.0,28.50799046,US,"December 18, 1995",21,Maryland,R,19,112,14,26,53.8,0,0,0.0,16,19,84.2,11,14,25,2,7,1,7,44,0,0 +24,Brittany Boyd,NY,G,175,71.0,23.18367347,US,"November 6, 1993",23,UC Berkeley,3,2,32,9,15,60.0,0,1,0.0,8,11,72.7,3,5,8,5,3,0,2,26,0,0 +25,Brittney Griner,PHO,C,206,93.0,21.91535489,US,"October 18, 1990",26,Baylor,5,22,682,167,293,57.0,0,0,0.0,127,154,82.5,43,129,172,39,13,54,52,461,6,0 +26,Brittney Sykes,ATL,G,175,66.0,21.55102041,US,"July 2, 1994",23,Rutgers,10,30,734,146,362,40.3,29,87,33.3,76,102,74.5,25,94,119,59,18,17,49,397,1,0 +27,Camille Little,PHO,F,188,82.0,23.20054323,US,"January 18, 1985",32,North Carolina,11,30,759,93,219,42.5,9,52,17.3,33,52,63.5,42,71,113,42,28,13,50,228,0,0 +28,Candace Parker,LA,F/C,193,79.0,21.20862305,US,"April 19, 1986",31,Tennessee,10,29,889,183,383,47.8,40,114,35.1,88,115,76.5,37,205,242,127,43,53,80,494,10,1 +29,Candice Dupree,IND,F,188,81.0,22.91760978,US,"February 25, 1984",33,Temple,12,29,911,189,370,51.1,0,2,0.0,57,65,87.7,31,124,155,47,28,12,42,435,2,0 +30,Cappie Pondexter,CHI,G,175,73.0,23.83673469,US,"July 1, 1983",34,Rutgers,11,24,676,94,258,36.4,8,32,25.0,54,67,80.6,10,59,69,104,17,5,56,250,2,0 +31,Carolyn Swords,SEA,C,198,95.0,24.2322212,US,"July 19, 1989",28,Boston College,6,26,218,19,39,48.7,0,0,0.0,16,20,80.0,10,29,39,9,5,4,22,54,0,0 +32,Cayla George,PHO,C,193,87.0,23.35633171,AU,"April 20, 1987",30,Georgia,1,28,365,40,105,38.1,13,45,28.9,7,12,58.3,10,71,81,15,9,11,13,100,1,0 +33,Chelsea Gray,LA,G,180,77.0,23.7654321,US,"August 10, 1992",25,Duke,3,30,996,165,326,50.6,48,100,48.0,78,94,83.0,19,80,99,132,29,7,61,456,1,0 +34,Cheyenne Parker,CHI,F,193,86.0,23.08786813,US,"August 22, 1992",25,Middle Tennessee,2,23,286,32,69,46.4,0,3,0.0,23,36,63.9,31,47,78,13,8,15,21,87,0,0 +35,Clarissa dos Santos,SAN,C,185,89.0,26.00438276,BR,"October 3, 1988",28,Brazil,4,7,52,8,14,57.1,1,1,100.0,0,0,0.0,3,7,10,7,1,1,5,17,0,0 +36,Courtney Paris,DAL,C,193,113.0,30.33638487,US,"September 21, 1987",29,Oklahoma,7,16,217,32,57,56.1,0,0,0.0,6,12,50.0,28,34,62,5,6,8,18,70,0,0 +37,Courtney Vandersloot,CHI,G,173,66.0,22.05219018,US,"August 2, 1989",28,Gonzaga,6,22,673,104,199,52.3,23,60,38.3,24,29,82.8,13,75,88,175,22,5,64,255,10,0 +38,Courtney Williams,CON,G,173,62.0,20.71569381,US,"November 5, 1994",22,South Florida,1,29,755,168,338,49.7,8,30,26.7,31,36,86.1,38,84,122,60,15,6,39,375,1,0 +39,Crystal Langhorne,SEA,F/C,188,84.0,23.76641014,US,"October 27, 1986",30,Maryland,10,30,848,160,240,66.7,1,2,50.0,49,68,72.1,35,140,175,46,16,11,50,370,2,0 +40,Damiris Dantas,ATL,C,191,89.0,24.39626107,BR,"November 17, 1992",24,Brazil,4,30,569,98,243,40.3,25,91,27.5,33,43,76.7,29,84,113,19,17,18,26,254,0,0 +41,Danielle Adams,CON,F/C,185,108.0,31.5558802,US,"February 19, 1989",28,Texas A&M,5,18,81,16,43,37.2,12,30,40.0,5,5,100.0,6,4,10,4,4,4,7,49,0,0 +42,Danielle Robinson,PHO,G,175,57.0,18.6122449,US,"October 5, 1989",27,Oklahoma,7,28,680,79,178,44.4,0,5,0.0,51,61,83.6,13,73,86,106,33,4,58,209,0,0 +43,Dearica Hamby,SAN,F,191,86.0,23.57391519,US,"June 11, 1993",24,Wake Forest,2,31,650,96,207,46.4,3,8,37.5,58,95,61.1,48,91,139,32,29,8,43,253,1,0 +44,Devereaux Peters,IND,F,188,79.0,22.35174287,US,"August 10, 1989",28,Notre Dame,6,28,796,154,380,40.5,88,225,39.1,118,130,90.8,8,69,77,76,16,9,56,514,0,0 +45,Diana Taurasi,PHO,G,183,74.0,22.09680791,US,"November 6, 1982",34,Connecticut,13,20,591,121,255,47.5,22,66,33.3,112,118,94.9,31,98,129,32,20,31,28,376,3,0 +46,Elena Delle Donne,WAS,G/F,196,85.0,22.12619742,US,"May 9, 1989",28,Delaware,5,30,939,133,272,48.9,0,1,0.0,51,78,65.4,99,116,215,43,32,64,36,317,4,0 +47,Elizabeth Williams,ATL,F/C,191,87.0,23.84803048,US,"June 23, 1993",24,Duke,3,30,377,48,96,50.0,0,1,0.0,32,55,58.2,35,61,96,5,5,4,21,128,0,0 +48,Emma Cannon,PHO,F,188,86.0,24.33227705,US,"January 6, 1989",28,Central Florida,R,18,508,105,220,47.7,11,33,33.3,31,34,91.2,33,72,105,52,21,27,30,252,1,0 +49,Emma Meesseman,WAS,C,193,83.0,22.28247738,BE,"May 13, 1993",24,Belgium,5,23,617,89,233,38.2,25,79,31.6,56,65,86.2,23,58,81,70,34,5,30,259,0,0 +50,Epiphanny Prince,NY,G,175,81.0,26.44897959,US,"November 1, 1988",28,Rutgers,8,26,282,36,86,41.9,1,3,33.3,15,22,68.2,17,44,61,5,4,8,17,88,0,0 +51,Erica Wheeler,IND,G,170,65.0,22.49134948,US,"February 5, 1991",26,Rutgers,3,30,767,130,321,40.5,42,129,32.6,34,40,85.0,11,57,68,117,38,1,68,336,0,0 +52,Érika de Souza,SAN,C,196,86.0,22.38650562,BR,"September 3, 1982",34,Brazil,13,30,579,65,112,58.0,0,0,0.0,29,32,90.6,58,74,132,35,18,7,37,159,0,0 +53,Erlana Larkins,IND,F,185,93.0,27.17311907,US,"February 4, 1986",31,North Carolina,9,20,386,36,92,39.1,9,35,25.7,21,24,87.5,9,26,35,24,11,8,13,102,0,0 +54,Essence Carson,LA,G/F,183,74.0,22.09680791,US,"July 28, 1986",31,Rutgers,10,15,61,4,16,25.0,0,0,0.0,5,6,83.3,7,2,9,0,1,3,5,13,0,0 +55,Evelyn Akhator,DAL,F,191,82.0,22.47745402,NG,"March 2, 1995",22,Kentucky,R,30,926,165,365,45.2,20,60,33.3,92,117,78.6,73,199,272,50,37,13,67,442,13,0 +56,Glory Johnson,DAL,F,191,77.0,21.10687755,US,"July 27, 1990",27,Tennessee,4,4,42,3,9,33.3,3,6,50.0,0,0,0.0,0,3,3,1,0,0,4,9,0,0 +57,Imani Boyette,ATL,C,201,88.0,21.78163907,US,"November 10, 1992",24,Texas,1,29,410,56,119,47.1,1,3,33.3,14,20,70.0,43,75,118,14,9,23,22,127,1,0 +58,Isabelle Harrison,SAN,C,191,83.0,22.75156931,US,"September 27, 1993",23,Kentucky,3,31,832,154,300,51.3,1,2,50.0,55,85,64.7,66,134,200,46,26,24,63,364,5,0 +59,Ivory Latta,WAS,G,168,63.0,22.32142857,US,"September 25, 1984",32,North Carolina,12,29,499,79,218,36.2,40,114,35.1,47,55,85.5,7,20,27,49,12,1,22,245,0,0 +60,Jantel Lavender,LA,C,193,84.0,22.55094096,US,"December 11, 1988",28,Ohio State,7,28,481,89,184,48.4,4,13,30.8,18,22,81.8,31,56,87,28,8,5,35,200,0,0 +61,Jasmine Thomas,CON,G,175,66.0,21.55102041,US,"September 30, 1989",27,Duke,6,27,762,151,341,44.3,50,116,43.1,39,55,70.9,9,55,64,118,45,4,58,391,1,0 +62,Jazmon Gwathmey,IND,G,188,65.0,18.39067451,PR,"January 24, 1993",24,James Madison,2,24,371,50,140,35.7,12,49,24.5,30,39,76.9,15,34,49,17,13,19,32,142,0,0 +63,Jeanette Pohlen,IND,G,183,78.0,23.29122996,US,"February 5, 1989",28,Stanford,6,25,278,20,52,38.5,13,29,44.8,17,20,85.0,3,19,22,13,5,0,15,70,0,0 +64,Jennifer Hamson,IND,C,201,95.0,23.51426945,US,"January 23, 1992",25,Brigham Young,1,10,50,2,12,16.7,0,3,0.0,8,10,80.0,5,6,11,6,2,2,3,12,0,0 +65,Jessica Breland,CHI,F,191,77.0,21.10687755,US,"February 23, 1988",29,North Carolina,5,10,78,9,16,56.3,0,0,0.0,4,5,80.0,5,13,18,2,1,9,3,22,0,0 +66,Jewell Loyd,SEA,G,178,67.0,21.14631991,US,"May 10, 1993",24,Notre Dame,3,29,715,116,245,47.3,8,21,38.1,28,37,75.7,50,139,189,46,18,50,57,268,4,0 +67,Jia Perkins,MIN,G,173,75.0,25.05930703,US,"February 23, 1982",35,Texas Tech,14,30,932,178,420,42.4,47,123,38.2,114,134,85.1,24,72,96,103,41,11,83,517,0,0 +68,Jonquel Jones,CON,F/C,198,86.0,21.93653709,BS,"May 1, 1994",23,George Washington,1,29,463,47,124,37.9,11,32,34.4,11,15,73.3,11,46,57,39,30,1,24,116,0,0 +69,Jordan Hooper,CHI,F,188,84.0,23.76641014,US,"February 20, 1992",25,Nebraska,3,29,833,164,299,54.8,22,49,44.9,117,142,82.4,108,226,334,40,29,46,46,467,17,0 +70,Kaela Davis,DAL,G,188,77.0,21.78587596,US,"March 15, 1995",22,South Carolina,R,23,208,27,75,36.0,20,55,36.4,3,4,75.0,2,20,22,5,7,1,6,77,0,0 +71,Kahleah Copper,CHI,G/F,185,70.0,20.45288532,US,"August 28, 1994",22,Rutgers,1,29,475,62,163,38.0,12,32,37.5,49,65,75.4,10,33,43,32,13,3,48,185,0,0 +72,Kaleena Mosqueda-Lewis,SEA,F,180,82.0,25.30864198,US,"March 11, 1993",24,Connecticut,3,29,369,60,140,42.9,5,23,21.7,36,45,80.0,11,43,54,11,9,2,22,161,0,0 +73,Karima Christmas-Kelly,DAL,G/F,183,82.0,24.48565201,US,"November 9, 1989",27,Duke,6,14,142,23,43,53.5,9,21,42.9,10,10,100.0,4,10,14,6,1,1,13,65,0,0 +74,Kayla Alexander,SAN,C,193,88.0,23.6247953,CA,"May 1, 1991",26,Arizona State,4,30,889,91,239,38.1,25,83,30.1,111,129,86.0,45,75,120,65,39,5,50,318,0,0 +75,Kayla McBride,SAN,G/F,180,79.0,24.38271605,US,"June 25, 1992",25,Notre Dame,3,31,433,78,141,55.3,0,0,0.0,15,16,93.8,40,47,87,17,13,15,30,171,0,0 +76,Kayla Pedersen,CON,F,193,86.0,23.08786813,US,"April 14, 1989",28,Stanford,5,27,882,128,337,38.0,47,147,32.0,108,118,91.5,12,93,105,59,32,5,54,411,0,0 +77,Kayla Thornton,DAL,F,185,86.0,25.12783053,US,"October 20, 1992",24,Texas–El Paso,2,21,224,11,30,36.7,0,1,0.0,10,14,71.4,19,26,45,13,6,2,9,32,0,0 +78,Keisha Hampton,CHI,F,185,78.0,22.79035793,US,"February 22, 1990",27,DePaul,1,30,504,64,157,40.8,14,52,26.9,65,81,80.2,36,59,95,24,20,7,21,207,0,0 +79,Kelsey Plum,SAN,G,173,66.0,22.05219018,US,"August 24, 1994",23,Washington,R,28,610,73,210,34.8,29,78,37.2,50,58,86.2,11,42,53,91,13,4,72,225,0,0 +80,Kia Vaughn,NY,C,193,90.0,24.16172246,US,"January 24, 1987",30,Rutgers,9,23,455,62,116,53.4,0,0,0.0,10,19,52.6,39,71,110,16,8,9,21,134,1,0 +81,Kiah Stokes,NY,C,191,87.0,23.84803048,US,"March 30, 1993",24,Connecticut,3,29,576,50,98,51.0,0,1,0.0,41,52,78.8,63,122,185,21,8,32,33,141,3,0 +82,Kristi Toliver,WAS,G,170,59.0,20.41522491,US,"January 27, 1987",30,Maryland,9,29,845,119,284,41.9,67,194,34.5,44,49,89.8,9,50,59,91,20,8,48,349,0,0 +83,Krystal Thomas,WAS,C,196,88.0,22.90712203,US,"October 6, 1989",27,Duke,6,29,737,81,149,54.4,0,0,0.0,37,61,60.7,97,172,269,30,15,31,45,199,2,0 +84,Lanay Montgomery,SEA,C,196,96.0,24.98958767,US,"September 17, 1993",23,West Virginia,R,7,28,3,7,42.9,0,0,0.0,0,0,0.0,0,5,5,0,1,4,2,6,0,0 +85,Layshia Clarendon,ATL,G,175,64.0,20.89795918,US,"February 5, 1991",26,UC Berkeley,5,30,900,124,320,38.8,8,53,15.1,73,81,90.1,27,88,115,206,29,1,82,329,3,0 +86,Leilani Mitchell,PHO,G,165,58.0,21.30394858,US,"June 15, 1985",32,Utah,9,30,623,70,182,38.5,31,92,33.7,62,75,82.7,12,57,69,108,26,9,50,233,0,0 +87,Lindsay Allen,NY,G,173,65.0,21.71806609,US,"March 20, 1995",22,Notre Dame,R,23,314,21,50,42.0,0,11,0.0,6,9,66.7,8,28,36,47,13,1,18,48,0,0 +88,Lindsay Whalen,MIN,G,175,78.0,25.46938776,US,"September 5, 1982",34,Minnesota,14,22,520,69,153,45.1,12,34,35.3,27,36,75.0,8,46,54,90,11,2,44,177,0,0 +89,Lynetta Kizer,CON,C,193,104.0,27.92021262,US,"April 4, 1990",27,Maryland,5,20,238,48,100,48.0,0,1,0.0,23,30,76.7,22,35,57,6,11,7,10,119,0,0 +90,Maimouna Diarra,LA,C,198,90.0,22.95684114,SN,"January 30, 1991",26,Sengal,R,9,16,1,3,33.3,0,0,0.0,1,2,50.0,3,4,7,1,1,0,3,3,0,0 +92,Marissa Coleman,IND,G/F,185,73.0,21.32943755,US,"April 1, 1987",30,Maryland,9,30,539,50,152,32.9,27,79,34.2,27,33,81.8,7,53,60,25,8,4,34,154,0,0 +93,Matee Ajavon,ATL,G,173,73.0,24.39105884,US,"July 5, 1986",31,Syracruse,R,27,218,22,69,31.9,0,3,0.0,29,35,82.9,8,26,34,27,10,0,26,73,0,0 +94,Maya Moore,MIN,F,183,80.0,23.88844098,US,"November 6, 1989",27,Connecticut,7,29,904,170,398,42.7,52,132,39.4,98,114,86.0,50,106,156,99,53,13,56,490,3,0 +95,Monique Currie,PHO,G/F,183,80.0,23.88844098,US,"February 25, 1983",34,Duke,11,32,717,121,284,42.6,37,93,39.8,85,103,82.5,19,103,122,67,22,11,48,364,0,0 +96,Morgan Tuck,CON,F,188,91.0,25.74694432,US,"April 30, 1994",23,Connecticut,1,17,294,35,101,34.7,8,28,28.6,13,16,81.3,9,34,43,19,7,0,15,91,1,0 +97,Moriah Jefferson,SAN,G,168,55.0,19.48696145,US,"August 3, 1994",23,Connecticut,1,21,514,81,155,52.3,9,20,45.0,20,27,74.1,6,31,37,92,33,2,43,191,0,0 +98,Natalie Achonwa,IND,C,193,83.0,22.28247738,CA,"November 22, 1992",24,Notre Dame,3,30,529,82,151,54.3,0,0,0.0,43,55,78.2,31,70,101,21,11,16,25,207,0,0 +99,Natasha Cloud,WAS,G,183,73.0,21.79820239,US,"February 22, 1992",25,Saint Joseph's,3,24,448,37,118,31.4,12,51,23.5,20,27,74.1,7,52,59,69,17,3,23,106,0,0 +100,Natasha Howard,MIN,F,188,75.0,21.22000905,US,"February 9, 1991",26,Florida State,4,29,315,48,104,46.2,3,13,23.1,17,23,73.9,25,38,63,16,11,19,20,116,0,0 +101,Nayo Raincock-Ekunwe,NY,F/C,188,79.0,22.35174287,CA,"August 29, 1991",25,Simon Fraser,R,27,243,33,63,52.4,0,4,0.0,30,49,61.2,24,22,46,8,2,1,13,96,0,0 +102,Nia Coffey,SAN,F,185,77.0,22.49817385,US,"May 21, 1995",22,Northwestern,R,25,203,16,59,27.1,0,4,0.0,16,22,72.7,16,30,46,6,5,6,14,48,0,0 +103,Nneka Ogwumike,LA,F,188,79.0,22.35174287,US,"February 7, 1990",27,Stanford,6,30,948,215,386,55.7,18,49,36.7,129,148,87.2,57,179,236,63,53,14,47,577,9,0 +104,Noelle Quinn,SEA,G,183,81.0,24.18704649,US,"March 1, 1985",32,UCLA,11,29,459,24,58,41.4,14,35,40.0,17,18,94.4,1,48,49,78,12,5,27,79,0,0 +105,Odyssey Sims,LA,G,173,73.0,24.39105884,US,"July 13, 1992",25,Baylor,4,27,626,86,198,43.4,11,49,22.4,47,55,85.5,10,34,44,87,38,5,39,230,1,0 +106,Plenette Pierson,MIN,F/C,188,88.0,24.89814396,US,"August 31, 1981",35,Texas Tech,15,29,402,54,142,38.0,17,51,33.3,15,20,75.0,13,49,62,48,12,4,33,140,0,0 +107,Rachel Banham,CON,G,175,76.0,24.81632653,US,"July 15, 1993",24,Minnesota,2,26,238,32,87,36.8,16,48,33.3,16,20,80.0,2,27,29,20,4,0,12,96,0,0 +108,Ramu Tokashiki,SEA,F,193,80.0,21.47708663,JP,"November 6, 1991",25,Japan,1,29,378,42,92,45.7,0,3,0.0,22,27,81.5,19,29,48,16,8,8,25,106,0,0 +109,Rebecca Allen,NY,G/F,188,74.0,20.9370756,AU,"June 11, 1992",25,Australia,3,28,254,31,86,36.0,14,40,35.0,2,6,33.3,13,51,64,15,9,12,17,78,0,0 +110,Rebekkah Brunson,MIN,F,188,84.0,23.76641014,US,"November 12, 1981",35,Georgetown,14,26,719,97,218,44.5,22,60,36.7,62,83,74.7,46,135,181,40,31,9,42,278,2,0 +111,Renee Montgomery,MIN,G,170,63.0,21.79930796,US,"February 12, 1986",31,Connecticut,9,29,614,71,181,39.2,30,89,33.7,44,51,86.3,12,34,46,96,24,1,43,216,0,0 +112,Riquna Williams,LA,G,170,75.0,25.95155709,US,"May 28, 1990",27,Miami (FL),5,23,408,45,140,32.1,20,74,27.0,38,44,86.4,6,26,32,16,19,3,26,148,0,0 +113,Sami Whitcomb,SEA,G,178,66.0,20.83070319,US,"July 20, 1988",29,Washington,R,29,354,46,120,38.3,33,94,35.1,14,17,82.4,12,40,52,24,22,0,24,139,0,0 +114,Sancho Lyttle,ATL,F,193,79.0,21.20862305,ES,"September 20, 1983",33,Houston,13,25,703,71,163,43.6,1,7,14.3,13,19,68.4,42,138,180,41,40,17,34,156,0,0 +115,Sandrine Gruda,LA,F/C,193,84.0,22.55094096,FR,"June 25, 1987",30,France,5,4,12,1,3,33.3,0,0,0.0,0,0,0.0,0,2,2,0,0,0,2,2,0,0 +116,Saniya Chong,DAL,G,173,64.0,21.383942,US,"June 27, 1994",23,Connecticut,R,29,348,27,74,36.5,8,35,22.9,25,29,86.2,9,19,28,33,21,3,23,87,0,0 +117,Seimone Augustus,MIN,G/F,183,77.0,22.99262444,US,"April 30, 1984",33,LSU,12,27,756,125,251,49.8,18,41,43.9,30,35,85.7,12,70,82,108,17,1,39,298,1,0 +118,Sequoia Holmes,SAN,G,185,70.0,20.45288532,US,"June 13, 1986",31,UNLV,2,24,280,31,89,34.8,13,46,28.3,6,11,54.5,12,12,24,23,13,5,11,81,0,0 +119,Shatori Walker-Kimbrough,WAS,G,180,64.0,19.75308642,US,"May 18, 1995",22,Maryland,R,22,260,29,78,37.2,9,26,34.6,29,32,90.6,4,13,17,10,11,1,12,96,0,0 +120,Shavonte Zellous,NY,G,178,85.0,26.82742078,US,"August 28, 1986",30,Pittsburgh,9,29,865,107,249,43.0,14,41,34.1,118,144,81.9,30,92,122,87,23,8,62,346,1,0 +121,Shay Murphy,SAN,G,180,74.0,22.83950617,US,"April 15, 1985",32,Southern California,9,23,242,23,62,37.1,12,35,34.3,8,12,66.7,12,26,38,17,10,1,12,66,0,0 +122,Shekinna Stricklen,CON,G/F,188,81.0,22.91760978,US,"July 30, 1990",27,Tennessee,5,29,795,80,202,39.6,59,149,39.6,26,31,83.9,15,71,86,30,36,2,23,245,0,0 +123,Shenise Johnson,IND,G,180,78.0,24.07407407,US,"September 12, 1990",26,Miami (FL),6,14,348,55,127,43.3,10,30,33.3,38,40,95.0,13,35,48,35,21,4,18,158,0,0 +124,Skylar Diggins-Smith,DAL,G,175,66.0,21.55102041,US,"February 8, 1990",27,Notre Dame,4,30,1018,167,394,42.4,43,119,36.1,168,186,90.3,21,86,107,173,38,24,83,545,1,0 +125,Stefanie Dolson,CHI,C,196,97.0,25.24989588,US,"August 1, 1992",25,Connecticut,3,28,823,162,293,55.3,24,60,40.0,50,58,86.2,35,121,156,65,14,37,65,398,3,0 +126,Stephanie Talbot,PHO,G,185,87.0,25.42001461,AU,"December 20, 1990",26,Australia,R,30,555,47,114,41.2,15,38,39.5,29,44,65.9,28,58,86,50,22,8,28,138,0,0 +127,Sue Bird,SEA,G,175,68.0,22.20408163,US,"October 16, 1980",36,Connecticut,15,27,806,103,244,42.2,50,134,37.3,17,24,70.8,7,46,53,177,31,3,57,273,1,0 +128,Sugar Rodgers,NY,G,175,75.0,24.48979592,US,"August 12, 1989",28,Georgetown,6,28,745,108,310,34.8,59,163,36.2,42,52,80.8,21,85,106,68,28,17,43,317,0,0 +129,Sydney Colson,SAN,G,173,64.0,21.383942,US,"June 8, 1989",28,Texas A&M,3,25,296,25,78,32.1,2,10,20.0,20,30,66.7,3,11,14,51,13,2,25,72,0,0 +130,Sydney Wiese,LA,G,183,68.0,20.30517483,US,"July 13, 1992",25,Oregon State,R,25,189,19,50,38.0,13,32,40.6,4,8,50.0,3,18,21,6,4,3,2,55,0,0 +131,Sylvia Fowles,MIN,C,198,96.0,24.48729721,US,"June 10, 1985",32,LSU,10,29,895,222,336,66.1,0,0,0.0,128,162,79.0,113,184,297,39,39,61,71,572,16,0 +132,Tamera Young,ATL,G/F,188,77.0,21.78587596,US,"October 30, 1986",30,Tennessee,9,31,820,105,297,35.4,23,70,32.9,44,65,67.7,23,87,110,66,36,14,61,277,0,0 +133,Tayler Hill,WAS,G,175,66.0,21.55102041,US,"October 23, 1990",26,Ohio State,5,18,462,69,191,36.1,27,89,30.3,75,80,93.8,5,29,34,47,16,1,26,240,0,0 +134,Temi Fagbenle,MIN,C,193,89.0,23.89325888,UK,"August 9, 1992",25,Southern California,R,17,74,6,14,42.9,0,0,0.0,5,6,83.3,3,13,16,1,3,3,8,17,0,0 +135,Theresa Plaisance,DAL,F,196,91.0,23.68804665,US,"May 18, 1992",25,LSU,4,30,604,80,213,37.6,35,101,34.7,22,24,91.7,38,89,127,24,23,22,24,217,1,0 +136,Tianna Hawkins,WAS,F,191,87.0,23.84803048,US,"February 3, 1991",26,Maryland,4,29,483,79,165,47.9,11,41,26.8,41,43,95.3,42,82,124,9,15,7,23,210,0,0 +137,Tierra Ruffin-Pratt,WAS,G,178,83.0,26.19618735,US,"November 4, 1991",25,North Carolina,5,29,703,77,217,35.5,0,4,0.0,71,96,74.0,45,120,165,68,30,16,47,225,2,0 +138,Tiffany Hayes,ATL,G,178,70.0,22.09317005,US,"September 20, 1989",27,Connecticut,6,29,861,144,331,43.5,43,112,38.4,136,161,84.5,28,89,117,69,37,8,50,467,0,0 +139,Tiffany Jackson,LA,F,191,84.0,23.0256846,US,"April 26, 1985",32,Texas,9,22,127,12,25,48.0,0,1,0.0,4,6,66.7,5,18,23,3,1,3,8,28,0,0 +140,Tiffany Mitchell,IND,G,175,69.0,22.53061224,US,"September 23, 1984",32,South Carolina,2,27,671,83,238,34.9,17,69,24.6,94,102,92.2,16,70,86,39,31,5,40,277,0,0 +141,Tina Charles,NY,F/C,193,84.0,22.55094096,US,"May 12, 1988",29,Connecticut,8,29,952,227,509,44.6,18,56,32.1,110,135,81.5,56,212,268,75,21,22,71,582,11,0 +142,Yvonne Turner,PHO,G,175,59.0,19.26530612,US,"October 13, 1987",29,Nebraska,2,30,356,59,140,42.1,11,47,23.4,22,28,78.6,11,13,24,30,18,1,32,151,0,0