Unit-Level Injury Cascade
Pinpointing when injuries create a team-wide collapse.
Overview
This pillar analyzes the compounding effect of multiple injuries within a single positional unit, like an offensive line or secondary. It moves beyond single-star player analysis to identify systemic weaknesses that betting markets often overlook.
What It Does
The model tracks all reported injuries for a team and groups them by their specific unit. It then calculates a 'Depletion Score' based on the number and importance of the missing players. Finally, it assesses the experience level of the replacements to generate a 'Cascade Risk' score, predicting the unit's potential for critical failure.
Why It Matters
A single star player's absence is easy to price in, but the drop-off from the 2nd to the 3rd string tackle is often where games are lost. This pillar quantifies that non-linear performance decline, providing a predictive edge by highlighting vulnerabilities before they are obvious.
How It Works
First, the system aggregates injury data from official reports and trusted media sources. It then maps these injuries to a team's depth chart, focusing on clusters within units. Using prior season snap counts and performance grades, it evaluates the talent gap between the injured players and their replacements. This analysis produces a score indicating the unit's vulnerability, which is then correlated with potential changes in team performance metrics like points allowed or offensive efficiency.
Methodology
The Cascade Risk Score (CRS) is calculated as: CRS = (Σ(PlayerValue_injured) / UnitValue_total) * (1 - AvgExperience_replacements). PlayerValue is derived from a weighted blend of prior season snap counts (60%) and Pro Football Focus (PFF) grades (40%). AvgExperience is the mean number of career snaps for all active replacements in the unit. The model flags any unit with a CRS greater than 0.65 as a critical vulnerability.
Edge & Advantage
This provides an edge by identifying systemic weaknesses the market underprices, moving beyond the simple 'star player out' narrative to find hidden betting value.
Key Indicators
-
Unit Depth Chart Depletion
highMeasures the percentage of starters and key rotational players missing from a single positional unit.
-
Replacement Experience Level
highQuantifies the average career snap count and performance grades of the players filling in for the injured starters.
-
Opponent Matchup Strength
mediumAssesses the strength of the opposing team's unit that will directly face the depleted unit.
Data Sources
-
Team Injury Reports
Official weekly injury status reports released by college football programs.
-
Beat Writer Social Media
Up-to-the-minute reports and observations from local journalists covering the team.
-
Provides detailed player grades, snap counts, and performance metrics.
-
Offers reliable and consistently updated college football depth charts.
Example Questions This Pillar Answers
- → Will the Georgia Bulldogs cover the -10.5 spread against Florida if two starting offensive linemen are out?
- → Will the Ohio State vs. Michigan game total go OVER 58.5 points if Michigan's starting cornerbacks are injured?
- → Will Texas A&M win on the moneyline against LSU if LSU's top three defensive ends are unavailable?
Tags
Use Unit-Level Injury Cascade on a real market
Run this analytical framework on any Polymarket or Kalshi event contract.
Try PillarLab