Map Pool Depth & Veto Strategy

Overview

Analyzes a team's performance across different competitive maps and their strategic pick/ban patterns. This is crucial in esports where the map selection phase can create a significant advantage before the game even starts.

What It Does

This pillar aggregates historical match data to calculate each team's win rate on every map in the competitive pool. It then analyzes their veto history to identify which maps they prioritize picking and which they consistently ban. By modeling the veto process, it predicts the most likely map to be played and the resulting win probability.

Why It Matters

The map veto is a game within the game that often dictates the match outcome. This pillar provides a data-driven edge by quantifying how a team's map pool depth and strategic bans can skew the odds in their favor, an insight often missed by surface-level analysis.

How It Works

First, the system collects historical match results, including the maps played and the veto sequence for each team. It then calculates map-specific win rates and creates a profile of each team's pick/ban priorities. Finally, it simulates the upcoming match's veto phase based on both teams' profiles to forecast the final map and assess the matchup advantage.

Methodology

A 'Map Strength Score' is calculated for each team-map combination using a weighted average of win rate over the last 3 months and all-time performance. The veto simulation models a best-of-3 format, where each team bans based on their opponent's highest scores and picks based on their own. The model assumes rational, data-driven veto behavior.

Edge & Advantage

This provides a quantifiable edge by predicting the battlefield itself, allowing for more accurate win probability assessments than models that only use overall team strength.

Key Indicators

• Map-Specific Win Rate

  high

  A team's historical win percentage on a specific map, indicating their proficiency.

• Veto Priority Score

  high

  A calculated score showing how likely a team is to ban or pick a certain map.

• First Pick Advantage

  medium

  The historical win percentage of the team that gets to pick the first map in a series.

Data Sources

• HLTV.org

  Comprehensive match data, statistics, and map performance for Counter-Strike.

• VLR.gg

  Detailed match histories, agent statistics, and map data for Valorant.

• Liquipedia

  Community-driven wikis for various esports, providing tournament structures and historical results.

Example Questions This Pillar Answers

• → Will Team A beat Team B in the upcoming tournament match?
• → Will the final map played between these two teams be 'Mirage'?
• → Will the total number of rounds in the first map be over 26.5?

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