In-Game Script Flipping (Live)

Overview

This pillar analyzes how NFL teams perform differently when leading versus trailing. It identifies comeback specialists and teams prone to collapse, providing a crucial edge for live trading.

What It Does

The analysis ingests play-by-play data to calculate team efficiency metrics under specific game scripts. It quantifies a team's offensive and defensive performance when they have a significant lead compared to when they are trying to catch up. This reveals hidden tendencies not visible in standard box scores.

Why It Matters

General team stats are misleading because they average performance across all situations. This pillar isolates script-dependent behavior, allowing you to predict how a team will react to in-game score changes before the market fully adjusts.

How It Works

First, we ingest play-by-play data for the current and previous season. Next, each play is categorized based on the score margin: 'Leading', 'Trailing', or 'Neutral'. We then calculate key metrics like EPA per play and pace for each script. Finally, these script-specific stats are compared to a team's baseline to generate a 'Script Flipper Score'.

Methodology

Game scripts are defined by score margin: Leading (>7 points), Trailing (<-7 points), and Neutral. The core metric is Expected Points Added (EPA) per play for both offense and defense within these scripts. The final 'Script Flipper Score' is a weighted index comparing a team's Trailing EPA vs. Leading EPA against the league average, highlighting significant deviations.

Edge & Advantage

This provides an edge by identifying teams whose live moneyline or spread is mispriced due to the market overvaluing their overall record and undervaluing their historical performance in the current game script.

Key Indicators

• Pass Rate Over Expected (Trailing)

  high

  Measures if a team becomes predictably one-dimensional and pass-heavy when behind, which can be exploited.

• Pace of Play (Leading)

  medium

  Calculates seconds per play when a team has a lead, identifying conservative clock-killing strategies versus aggressive scoring approaches.

• Defensive EPA (Leading)

  high

  Shows how well a defense performs when protecting a lead, highlighting 'prevent' defenses that give up yardage.

Data Sources

• nflfastR Data Repository

  Provides comprehensive, publicly available NFL play-by-play data for deep statistical analysis.

• Pro Football Focus (PFF)

  Offers granular player grades and advanced statistics that can supplement script analysis.

Example Questions This Pillar Answers

• → Will the Kansas City Chiefs win this game, given they are trailing by 10 at halftime?
• → Will the Baltimore Ravens cover the live spread of +3.5 points, given they are leading in the 4th quarter?
• → Will the total points in the second half be over or under 24.5?

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