Derby & Rivalry Intensity Factor

Overview

This pillar quantifies the heightened intensity of local soccer derbies by analyzing historical disciplinary records and foul data. It provides a statistical edge in markets where emotion often outweighs team form.

What It Does

The model aggregates years of match data from specific derby fixtures, focusing on metrics like yellow cards, red cards, and fouls per game. It then compares these derby-specific averages to the teams' normal league performance. This contrast reveals a quantifiable 'Intensity Factor' unique to that rivalry.

Why It Matters

Standard prediction models often fail in derby matches because they overlook the psychological pressure and historical animosity. This pillar isolates the 'derby effect', providing a crucial data point for predicting events like bookings and overall match aggression, which are often mispriced by the market.

How It Works

First, the pillar identifies a specific, recurring derby matchup. It then scrapes historical head-to-head data for the last 10-15 encounters, recording all cards and fouls. These figures are averaged and then benchmarked against each team's season-long league average to produce a 'Derby Card Multiplier'. This multiplier signals how much more aggressive the fixture typically is.

Methodology

Calculates a 'Derby Intensity Score' by comparing the 10-year head-to-head (H2H) average for yellow cards and fouls per game against each team's 3-season league average. The formula is: Intensity = ((H2H_Cards_per_Game / League_Avg_Cards_per_Game) * 0.6) + ((H2H_Fouls_per_Game / League_Avg_Fouls_per_Game) * 0.4). A score above 1.2 indicates a high-intensity fixture.

Edge & Advantage

It provides a numerical edge by quantifying the emotional element of rivalry games that standard form-based models ignore, leading to better predictions on disciplinary markets.

Key Indicators

• Derby Card Multiplier

  high

  Ratio of average cards in derby matches compared to the teams' league average. A value over 1.0 indicates higher disciplinary action.

• Foul Intensity Index

  high

  Measures the average number of fouls per game in the derby versus non-derby matches, highlighting physical intensity.

• Key Player Disciplinary History

  medium

  Tracks the card and foul history of specific, often aggressive players within the derby fixture itself.

Data Sources

• FBref

  Provides detailed historical match statistics, including disciplinary actions and foul counts for major soccer leagues.

• Transfermarkt

  Offers head-to-head records and historical match data for specific derby fixtures.

• Opta / Stats Perform

  Professional sports data provider with granular event data for deep historical analysis of fouls and cards.

Example Questions This Pillar Answers

• → Will there be over 6.5 total cards in the next North London Derby (Arsenal vs. Tottenham)?
• → Will a specific player receive a yellow card in the next Old Firm match (Celtic vs. Rangers)?
• → Will the total number of fouls in the Milan Derby (AC Milan vs. Inter) exceed 28.5?

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