Esports Math
GAME THEORY DRAFT ENGINE // COMPETITIVE ANALYTICS

CS2 Map Veto & Series Analyzer — Minimax Draft Optimization

Simulate competitive CS2 pick-ban draft sequences across the 7-map Active Duty pool using algorithmic Minimax logic. Computes optimal bans, tactical counter-picks, conditional map win rates, and compound Bo3/Bo5 series probabilities.

7-MAP ACTIVE DUTY WIN RATE MATRIX
Mirage POOL
Team A: 65% Team B: 50%
Inferno POOL
Team A: 55% Team B: 68%
Nuke POOL
Team A: 72% Team B: 45%
Ancient POOL
Team A: 48% Team B: 62%
Anubis POOL
Team A: 60% Team B: 58%
Dust II POOL
Team A: 42% Team B: 70%
Vertigo POOL
Team A: 50% Team B: 35%

OPTIMAL MINIMAX VETO SEQUENCE

7-STEP MINIMAX PIPELINE
SERIES PREDICTIONS BO3 SERIES
TEAM A BO3 WIN EXPECTANCY
58.4% 41.6%
FAIR SERIES ODDS (NO-VIG) 1.71
PROBABILITY OF DECIDER MAP (MAP 3) 51.2%
SELECTED MAPS BREAKDOWN

Frequently Answered Questions

How does Minimax game theory determine the optimal ban order? ▼

Minimax assumes both teams play with rational self-interest. Team A removes the map where Team B holds the largest comparative win rate differential. Conversely, picks target maps that maximize Team A's conditional edge given Team B's historical defensive deficiencies.

Why is picking an opponent's permaban suboptimal if your win rate is only average? ▼

Leaving an opponent's permaban open often baits them into banning it anyway. If you pick a permaban where your win rate is only 52%, you forfeit the opportunity to pick your primary 78% comfort map.

How does map pool depth correlate with Bo3 market efficiency? ▼

Specialist teams with narrow 2-map pools suffer massive EV decay in playoff Bo3s when opponents ban their primary comfort pick. Teams with 5+ playable maps maintain resilient series win probabilities above 60% even after losing their first pick.