To Win
AI-Powered Esports Coaching & Tactical Analytics Platform
Leveraging AI and data analytics to provide draft simulation, match review, tactical modeling, and performance insights for esports teams and players — improving training efficiency and competitive performance.
Project Type
Core Capabilities
Target Users
Intelligent Training Platform for Teams, Coaches, and Players
TO WIN is an AI- and data-driven esports coaching platform designed for teams, coaches, and individual players, enabling more scientific tactical analysis and decision-making during training and competition preparation.
The system collects and analyzes historical match data, hero selections, team compositions, opponent characteristics, positioning paths, performance metrics, and match outcomes to provide intelligent, personalized tactical recommendations. Key capabilities include draft (BP) simulation, replay sandbox modeling, and a team data hub, helping teams rapidly improve strategy planning, match review, and team coordination.
Draft (BP) Simulation System – Win Rate Prediction & Hero Selection Recommendations
Industry Challenges
Esports training heavily relies on data analysis, coach experience, and intensive match review, yet traditional training methods often lack systematic data support.
The Ban & Pick phase is highly strategic, but traditional training lacks data-driven support, making it difficult to systematically evaluate lineup counters and combination value.
Historical match data, hero performance, and opponent characteristics are scattered across platforms, preventing the creation of reusable training assets.
Traditional match review depends on repeatedly watching game footage, limiting the ability to quickly reconstruct scenarios, adjust paths, and perform visualized tactical simulations.
From Experience-Driven to Data-Driven Training
TO WIN transforms traditional esports training — previously reliant on coach experience — into a data-driven intelligent platform using AI algorithms, big data analytics, and interactive sandbox visualization.
The system analyzes player history, team composition, and opponent data to generate personalized hero recommendations, supporting multi-mode draft (BP) practice, match replay, tactical simulation, and data hub analytics. By consolidating data and leveraging model-driven insights, the platform enables teams to establish a continuously optimized training loop.
- Player Historical Data Consolidation & Opponent Analysis
- AI-Powered Personalized Hero Recommendations & Multi-Mode Draft (BP) Practice
- Interactive Sandbox Replays & Path Simulation
- Automated Match Data Extraction & Statistical Analysis via Image Recognition
Core Modules
Three core modules work together to cover the complete esports training workflow, from pre-match draft (BP) to post-match review.
Provides personalized hero selection recommendations based on player historical match data, team composition, and opponent analysis, supporting realistic multi-mode Ban & Pick practice.
Enables one-click replays, hero positioning reconstruction, path simulation with drag-and-drop, and stage-by-stage tactical saving — upgrading match review from simple video playback to interactive sandbox analysis.
Automatically extracts match data using image recognition and data collection algorithms, generating professional statistics such as win rates, KDA, economy metrics, and hero combination analysis.
Path Replay – Stage-by-Stage Saving & Tactical Playback
Key Capabilities
Six core capabilities covering tactical analysis, replay simulation, and data insights — forming a complete intelligent esports training stack.
Generate personalized hero selection suggestions based on match history, team composition, and opponent analysis.
Simulate real-world Ban & Pick scenarios to train lineup selection and counter-pick strategies.
Use algorithms to reconstruct hero positions and key match scenarios within an interactive sandbox map.
Freely adjust hero movement paths for tactical modeling and alternative strategy analysis.
Automatically extract key metrics such as damage output, damage taken, and participation rate from uploaded match result screenshots.
Consolidate training and match data to support long-term performance evaluation and strategy optimization.
Technical Capabilities
Project Value
TO WIN is more than a data analytics tool — it is an intelligent training platform that connects draft (BP) strategy, match replay, tactical simulation, and data analytics, helping esports teams transition from experience-driven to data-driven training.
