Post-Loss Tilt Susceptibility
Tracking the psychological impact after a loss.
Overview
This pillar analyzes a chess player's performance in the game immediately following a defeat. It quantifies their susceptibility to 'tilt', an emotional state that often leads to uncharacteristic errors and predictable shifts in play style.
What It Does
The analysis isolates a player's games played directly after a loss and compares key performance metrics against their long-term baseline. It measures deviations in move accuracy, opening choices, and tactical aggression. This process identifies players who become overly cautious or reckless, revealing their mental resilience under pressure.
Why It Matters
A player's mental state is a critical, yet often unmeasured, factor in high-level competition. This pillar provides a data-driven edge by predicting how a player will react to adversity, often before the market prices in their psychological state.
How It Works
First, the system compiles a player's recent game history and flags every game that immediately follows a loss. It then runs a chess engine analysis on these specific games to calculate metrics like average centipawn loss and opening novelty. These post-loss metrics are then compared to the player's 50-game rolling average to generate a 'Tilt Score'.
Methodology
A Tilt Susceptibility Score (TSS) is calculated by comparing performance in the N=1 game after a loss to a 50-game rolling average. The TSS is a weighted average of three factors: deviation in average Centipawn Loss (CPL), frequency of non-standard opening choices (moves 1-10 vs. a standard opening book), and significant changes in aggression, measured by the rate of captures and checks.
Edge & Advantage
This pillar quantifies a psychological factor that standard ELO ratings and statistical models ignore, providing a unique edge in markets where player mentality is a key variable.
Key Indicators
-
Post-Loss Win Rate
highThe player's win, loss, or draw percentage in the game immediately following a defeat, compared to their overall average.
-
Aggression Shift
mediumMeasures changes in tactical complexity and piece exchanges, indicating a shift towards higher or lower risk-taking.
-
Unforced Error Frequency
highThe rate of significant blunders, measured by high centipawn loss, in post-loss games versus their typical performance.
Data Sources
-
Provides millions of PGN game files from online play across all time controls.
-
Access to player game archives, ratings, and tournament data for analysis.
-
A curated database of top-level, over-the-board tournament games for professional analysis.
Example Questions This Pillar Answers
- → Will Magnus Carlsen win his next match after losing to Hikaru Nakamura?
- → Will Ian Nepomniachtchi play a sharp, aggressive opening in the game following his loss in the Candidates tournament?
- → Will Alireza Firouzja's draw rate be higher or lower than 50% in the next round after a defeat?
Tags
Use Post-Loss Tilt Susceptibility on a real market
Run this analytical framework on any Polymarket or Kalshi event contract.
Try PillarLab