Divisional H2H Familiarity

Overview

This pillar analyzes how MLB teams perform against divisional rivals they play frequently versus less familiar opponents. It uncovers hidden performance trends rooted in strategic adjustments, player history, and rivalry intensity.

What It Does

It systematically compares a team's key performance metrics in divisional games against their performance in all other games. The pillar calculates the performance delta in win percentage, run differential, and scoring totals. This process reveals which teams thrive on familiarity and which ones struggle under the divisional spotlight.

Why It Matters

Broad power rankings often overlook the unique dynamics of divisional matchups. This pillar provides a predictive edge by identifying teams that consistently overperform or underperform against familiar foes, offering value in markets that may be priced on season-long averages alone.

How It Works

First, the system aggregates game logs for a team over the last three seasons, separating them into 'divisional' and 'non-divisional' buckets. It then calculates win rates and average run differentials for each bucket. Finally, it computes the difference between the two to create a 'Familiarity Factor' that quantifies a team's performance shift in rivalry games.

Methodology

The core calculation is the 'Familiarity Performance Delta' (FPD). FPD is derived by subtracting non-divisional stats from divisional stats for key metrics like Win % and Run Differential per Game (RD/G). The analysis uses a rolling 3-season window, with heavier weight on the current season. Data is aggregated from game-level logs.

Edge & Advantage

This provides an edge by spotting mispriced moneylines and totals in divisional games where historical context and familiarity are more predictive than recent form.

Key Indicators

• Divisional Win % Delta

  high

  The difference between a team's win percentage in divisional games versus non-divisional games.

• H2H Run Differential

  high

  The average margin of victory or defeat against a specific divisional opponent over the last 3 seasons.

• Rivalry Over/Under Rate

  medium

  The frequency that games between two specific rivals go over or under the projected run total.

Data Sources

• Baseball-Reference

  Provides comprehensive historical game logs, head-to-head records, and team statistics.

• FanGraphs

  Offers advanced sabermetrics and splits data, useful for deeper matchup analysis.

Example Questions This Pillar Answers

• → Will the New York Yankees win their upcoming game against the Boston Red Sox?
• → Will the total runs scored between the Dodgers and Giants be over 8.5?
• → Will the St. Louis Cardinals win their 3-game series against the Chicago Cubs?

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