Draft/Hero Pool Exhaustion

Overview

Analyzes a team's hero or champion draft patterns throughout a tournament to predict strategic exhaustion. This is crucial for identifying teams that are becoming predictable and vulnerable to counter-picks in later stages.

What It Does

This pillar tracks every pick and ban for a team across a tournament, comparing it to their historical comfort picks. It measures the rate at which their core strategies are revealed, banned, or countered. The analysis generates a 'pool exhaustion' score, indicating how much strategic flexibility a team has left.

Why It Matters

A team running out of surprise picks or strong compositions is significantly easier to defeat. This pillar provides a leading indicator of a team's declining performance potential before it's reflected in their win rate, offering a distinct predictive edge.

How It Works

First, the pillar establishes a baseline 'hero pool' for each team using data from the last 3-6 months. Then, for each tournament match, it logs the picks and bans, calculating the percentage of the core pool that has been used or banned. This is weighted against the opponent's known counter-strategies to produce a real-time vulnerability score for the upcoming match.

Methodology

The core metric is the 'Strategic Depth Index' (SDI), calculated per match. SDI = 1 - ( (Picks_from_Core_Pool + Bans_on_Core_Pool) / Total_Core_Pool_Size ). A 'Core Pool' consists of heroes played with a >15% pick rate by the team in the last 6 months. The SDI is adjusted based on the opponent's historical success rate against the team's revealed picks.

Edge & Advantage

It moves beyond simple win/loss records to quantify a team's adaptability, predicting upsets when a top team becomes strategically one-dimensional.

Key Indicators

• Hero Pool Diversity

  high

  The total number of unique heroes a team has played during the tournament.

• Core Pick Repetition

  high

  How frequently a team defaults to the same small set of heroes, indicating a lack of flexibility.

• Opponent Ban Efficiency

  medium

  The percentage of opponent bans that successfully remove a team's most played or highest win-rate heroes.

Data Sources

• Liquipedia

  Provides comprehensive match histories, including detailed pick and ban data for most major esports tournaments.

• Game-Specific Stats Sites

  Sites like Dotabuff (Dota 2) or OP.GG (League of Legends) offer deep player and team statistics on hero preferences.

• VODs and Replays

  Direct analysis of game footage provides context that raw statistics can miss.

Example Questions This Pillar Answers

• → Will Team A win the League of Legends World Championship final?
• → Will Team B win their upper bracket match against Team C at The International?
• → Will Team X have more unique hero picks than Team Y in their 5-game series?

Tags