Coach Tournament History (March Factor)

Overview

This pillar quantifies a coach's historical ability to outperform their team's seed in the high-pressure NCAA tournament. It identifies coaches who consistently create upsets and make deep runs, providing a key intangible factor for your predictions.

What It Does

The March Factor analyzes a coach's entire tournament history, comparing their team's actual wins against the expected wins based on their seed. It calculates a 'Performance Over Expectation' score, rewarding upset victories and consistent overperformance. This creates a data-driven rating for a coach's specific tournament acumen.

Why It Matters

The single-elimination format of the NCAA tournament amplifies the impact of coaching strategy and preparation. This pillar provides a predictive edge by isolating coaches who excel in this unique environment, a factor often missed by models focused solely on regular season performance.

How It Works

First, we compile every tournament game for a given coach's career. Then, we calculate the expected number of wins for their team in each tournament based on historical seed performance. The model compares actual wins to expected wins, adding bonuses for victories over significantly higher-seeded opponents. This generates a cumulative 'March Factor' score that rates their tournament coaching skill.

Methodology

The core metric is Performance Over Expectation (POE), calculated as: POE = (Actual Tournament Wins - Seed-Based Expected Wins). Seed-Based Expected Wins are derived from the historical win probability of each seed in the 64-team era. A bonus multiplier of 1.5x is applied to wins against opponents seeded 4+ spots higher. The final 'March Factor' is a 5-year rolling average of the POE score.

Edge & Advantage

This pillar provides a quantifiable edge by focusing on a coach's specific tournament skill, a factor often treated as a gut feeling by the general betting public.

Key Indicators

• ATS Record in March

  high

  A coach's record against the betting spread in tournament games, indicating performance versus market expectation.

• Wins vs Higher Seeds

  high

  The total number of upset victories a coach has, defined as wins against a team with a better seed.

• Performance with Short Prep Time

  medium

  A coach's win percentage in games with only one or two days of preparation, common between tournament rounds.

Data Sources

• Sports-Reference.com

  Provides historical NCAA tournament brackets, team seeds, and individual game results.

• KenPom

  Source for advanced college basketball analytics and historical data that can supplement performance analysis.

Example Questions This Pillar Answers

• → Will a #12 seed coached by Tom Izzo win their first round game?
• → Which team will win the NCAA Men's Basketball Tournament?
• → Will Coach K's Duke team reach the Final Four?

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