Esports Math
INSTITUTIONAL DOSSIER // E-E-A-T

EsportsMath Labs

Applied Probability Institute

EsportsMath Labs operates under the auspices of the Applied Probability Institute, dedicated to discrete probability modeling, stochastic match simulations, and empirical verification of competitive esports markets.

Quantitative Research Faculty

Specialized probability analysts, rating modelers, and competitive telemetry engineers

[FACULTY // 01] Verified Unit

ESM Competitive Analytics Division

Team Rating Systems & Map Probability Modeling

Quantitative research group specializing in Elo/Glicko-2 rating systems for competitive esports, map-based win probability models, and team roster impact analysis across CS2 and Dota 2 tournaments.

Verified Credentials
Elo/Glicko-2 Rating Calibration (50K+ Matches)
Map Pool Win Probability Modeling
Tournament Bracket Simulation (Monte Carlo)
[FACULTY // 02] Verified Unit

ESM Probabilistic Modeling Lab

Live Odds Momentum & Player Impact Quantification

Independent research lab focused on round-by-round probability updates, player performance decomposition (ADR, KAST%, clutch rate), and live betting Expected Value calculations for CS2 and Dota 2 match markets.

Verified Credentials
Round-by-Round Conditional Probability Models
Player Performance Decomposition (Multi-Dimensional)
Live Betting EV Verification (10K+ Markets)

Core Methodological Principles

Mathematical Invariance & Game Theory

Every analysis published by our research group is derived from first-principles calculus, Bayesian rating updates (Elo/Glicko-2), and game-theoretic Minimax equilibrium. We provide closed-form proofs for optimal veto strategies and fair market pricing.

Empirical Telemetry Verification

Theoretical models are cross-validated against longitudinal datasets of 10,000 professional CS2 and Dota 2 maps, measuring Brier calibration (0.1874), economy cascade momentum, and rating convergence under competitive play.

Client-Side Deterministic Tooling

All analytical calculators and simulation tools execute directly in the browser via Canvas 2D and Vanilla JavaScript with 0ms hydration latency, ensuring transparent, verifiable calculations without proprietary server dependencies.

EsportsMath Labs Repository: https://github.com/esportsmath-labs
Framework: Applied Probability & Stochastic Simulation