Talent Evaluation & Performance Analytics Platform
Replaced surface-level performance metrics with deep behavioral and mechanical analysis, improving talent selection accuracy and accelerating team performance optimization.
Situation
Existing public analytics tools provided limited insight into player performance, focusing primarily on aggregate statistics. High-ranking metrics did not reliably correlate with real in-game effectiveness, leading to misaligned recruitment and performance decisions.
Solution
Developed a modular analytics platform capable of deep parsing and evaluation of gameplay data. The system shifted evaluation from statistical ranking to contextual performance validation.
OUTCOMES
Challenges
Metrics
- •Overreliance on aggregates
- •Misleading ranking indicators
- •Missing behavioral signals
Recruitment
- •Inaccurate talent selection
- •Weak performance correlation
Solutions
Gameplay Data Integration
Integration with public data sources and ingestion of raw gameplay logs.
- Aggregated gameplay logs from multiple public sources
- Normalized raw telemetry for downstream analysis
- Enabled consistent cross-title performance comparisons
Role Evaluation Modules
Class- and role-specific evaluation modules defining success criteria at a granular level.
- Built role-specific evaluation frameworks for players
- Defined measurable success criteria per class archetype
Execution Analysis Engine
Detection of mechanical execution, decision-making accuracy, and adherence to strategy.
- Identified mechanical precision indicators in gameplay
- Evaluated decision timing and execution quality
- Measured adherence to defined strategic plans
Plugin Analytics Framework
Extensible plugin architecture enabling domain experts to encode performance logic.
- Enabled modular logic contributions from analysts
- Supported rapid extension of evaluation criteria
- Allowed domain experts to encode tactical insights
Automated Scoring System
Automated scoring systems aligned with real-world competitive requirements.
- Standardized scoring aligned with competitive outcomes
- Reduced subjective evaluation bias in recruitment
- Enabled repeatable performance benchmarking pipelines