⚔️ ARES ANALYTICS ⚔️

The God of War for League of Legends Data

🎮 AI-Powered Esports Analytics • 📊 Advanced Statistical Modeling • 🔮 Match Prediction Engine

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🌟 "In the arena of data, victory belongs to those who see what others cannot."

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🎯 What is Ares Analytics?

Ares Analytics is a cutting-edge, AI-powered League of Legends analytics platform designed for pro teams, analysts, and hardcore enthusiasts who demand more than basic stats. Named after the Greek God of War, this tool brings ruthless analytical precision to esports data.

Upload your match history CSV and watch as Ares transforms raw numbers into actionable intelligence using:

• Google Gemini AI for natural language insights
• 📈 Monte Carlo Simulations for probability modeling
• 🎲 Ensemble Prediction Models (Logistic Regression, Random Forest, Gradient Boosting, Neural Networks)
• 📊 Advanced Statistical Analysis (Wilson Score Intervals, Pythagorean Win Rates, Elo Ratings)

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✨ Features That Set Ares Apart

📊 Advanced Analytics Dashboard Team Performance Metrics — Win rates, KDA, consistency ratings Player Statistics — Individual performance tracking with role analysis Champion Meta Analysis — Pick rates, win rates, class breakdowns Head-to-Head Records — Detailed matchup history Monthly Trend Analysis — Track performance over time	🔮 Prediction Lab (Model Lab) Monte Carlo Simulations — 10,000+ simulations for probability distributions Ensemble ML Predictions — 4 models voting for accuracy Scenario Analysis — "What-if" calculations for strategic planning Sensitivity Curves — Understand how variables impact outcomes Feature Importance — See what drives victories
🤖 AI-Powered Insights Gemini AI Integration — Natural language analysis from a "Ph.D. Statistician" Luck Index Analysis — Identify over/underperforming teams Side Bias Detection — Blue vs Red statistical significance testing Chi-Square Analysis — Validate patterns with p-values	📈 Rich Visualizations Radar Charts — Team attribute comparison (Aggression, Defense, Teamwork) Scatter Plots — Champion pick rate vs win rate analysis Heatmaps — Correlation matrices & head-to-head records Line Charts — Elo rating history & rolling win rates Bar Charts — Champion class performance breakdown

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🚀 Live Demo

👉 LAUNCH ARES ANALYTICS 👈

No installation required — try the demo mode instantly!

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🛠️ Tech Stack

┌────────────────────────────────────────────────────────────────┐
│                        ARES TECH ARSENAL                       │
├────────────────────────────────────────────────────────────────┤
│  ⚛️  React 19.2        │  Modern UI with hooks & state mgmt    │
│  📘  TypeScript 5.8    │  Type-safe development                │
│  ⚡  Vite 6.2          │  Lightning-fast builds & HMR          │
│  📊  Recharts 3.5      │  Beautiful, responsive charts         │
│  🎨  Lucide Icons      │  Sleek iconography                    │
│  🤖  Google Gemini AI  │  Advanced LLM for insights            │
│  🌐  Netlify           │  Blazing-fast deployment              │
└─────────────────────────────────────────────────────────────────┘

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📦 Installation & Setup

Prerequisites

• Node.js (v18+)
• npm or yarn
• Gemini API Key (optional, for AI insights)

Quick Start

# Clone the repository
git clone https://github.com/Siddharthk17/Ares-Analytics-League-Of-Legends-. git

# Navigate to directory
cd Ares-Analytics-League-Of-Legends-

# Install dependencies
npm install

# Set up environment variables (optional for AI features)
# Create .env. local and add:
# GEMINI_API_KEY=your_api_key_here

# Start development server
npm run dev

Build for Production

npm run build
npm run preview

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📁 Project Structure

Ares-Analytics-League-Of-Legends-/
│
├── 📄 App.tsx                    # Main application entry point
├── 📄 index.tsx                  # React DOM renderer
├── 📄 types.ts                   # TypeScript type definitions
│
├── 📁 components/
│   ├── ChartSection.tsx          # All visualization components
│   ├── FileUpload.tsx            # CSV file upload handler
│   ├── InsightsPanel.tsx         # AI-generated insights display
│   ├── MetricCard.tsx            # KPI metric display cards
│   ├── ModelLab.tsx              # Prediction & ML models
│   └── PredictorPanel.tsx        # Match prediction interface
│
├── 📁 services/
│   └── geminiService.ts          # Google Gemini AI integration
│
├── 📁 utils/
│   ├── analytics.ts              # Core statistical computations
│   └── csvParser.ts              # CSV parsing utilities
│
├── 📄 vite.config.ts             # Vite configuration
├── 📄 tsconfig.json              # TypeScript configuration
└── 📄 package.json               # Dependencies & scripts

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📊 Data Format

Ares Analytics expects CSV files with the following columns:

Column	Description	Example
id	Unique match identifier	match-001
Date	Match date	2024-03-15
Tournament	Tournament name	LCK Spring 2024
Team	Team name	T1
Opponent	Opposing team	Gen.G
W/L	Win or Loss	Win / Loss
Side	Map side	Blue / Red
Player	Player name	Faker
Role	Player role	Mid
Champion	Champion played	Azir
Opponent Champion	Lane opponent's champion	Orianna
Kills	Kill count	5
Deaths	Death count	2
Assists	Assist count	10
Duration	Game duration	32: 45

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🧮 Statistical Methods

Ares Analytics implements professional-grade statistical methods:

Method	Purpose
Wilson Score Interval	Confidence intervals for win rates (95%)
Pythagorean Win Rate	Expected wins based on K²/(K²+D²)
Luck Index	Actual WR - Pythagorean WR (over/underperformance)
Elo Rating System	Dynamic skill ratings with K-factor = 15
Chi-Square Test	Side bias statistical significance
Pearson Correlation	Variable relationship analysis
Monte Carlo Simulation	10,000 iteration probability modeling
Coefficient of Variation	Consistency/volatility measurement

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🎮 Champion Class Mapping

Ares automatically classifies 100+ champions into strategic classes:

🗡️ Fighter    │ Aatrox, Renekton, Jax, Fiora, Jayce
🛡️ Tank       │ Ornn, Sion, K'Sante, Sejuani, Maokai
🔮 Mage       │ Azir, Orianna, Ahri, Rumble, Syndra
🏹 Marksman   │ Kai'Sa, Xayah, Varus, Kalista, Zeri
⚔️ Assassin   │ Akali, Viego, Lee Sin, Sylas
🩹 Support    │ Rakan, Nautilus, Renata, Alistar, Rell

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🖼️ Screenshots

| Dashboard Overview | Prediction Lab | |: ------------------:|:--------------:| | Upload data and see instant analytics | Run Monte Carlo simulations |

| AI Insights | Team Comparison | |:-----------:|: ---------------:| | Gemini-powered statistical analysis | Radar charts for team attributes |

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🤝 Contributing

Contributions are welcome! Feel free to:

1. 🍴 Fork the repository
2. 🌿 Create a feature branch (git checkout -b feature/AmazingFeature)
3. 💾 Commit changes (git commit -m 'Add AmazingFeature')
4. 📤 Push to branch (git push origin feature/AmazingFeature)
5. 🔃 Open a Pull Request

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📜 License

This project is open source and available under the MIT License.

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🙏 Acknowledgments

• Riot Games — For creating League of Legends
• Google — For the Gemini AI API
• Recharts Team — For beautiful chart components
• The Esports Community — For inspiring this project

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Built with ❤️ and ☕ by Siddharthk17

⭐ Star this repo if Ares helped you climb the ladder! ⭐