Schedule Spot: The '3-in-4' Fatigue

Overview

This pillar analyzes the performance impact on hockey teams playing their third game in four nights. It identifies teams at a physiological disadvantage, providing a predictive edge in game outcome markets.

What It Does

The model systematically scans NHL schedules to flag teams in a '3-in-4' situation. It then layers in travel data, calculating the total distance covered in the preceding 48 hours. Finally, it assesses the opponent's schedule to determine the net rest advantage, creating a comprehensive fatigue score.

Why It Matters

Fatigue is a critical, yet often mispriced, factor in sports. This pillar moves beyond simple intuition by providing a data-driven measure of a team's likely physical state, which directly impacts performance, especially for depth players and goaltenders.

How It Works

First, the system ingests daily NHL game schedules to identify teams playing on a specific date. It then checks the team's game history for the previous three nights to trigger a '3-in-4' flag. If flagged, it calculates the travel distance between the arenas of the last two games and compares the team's days of rest against their upcoming opponent.

Methodology

A team is flagged if it plays 3 games within a 96-hour window. Travel distance is calculated using arena coordinates. The core metric, 'Rest Differential', is the number of rest days for the opponent minus the number of rest days for the team in question. A positive value indicates a fatigue disadvantage.

Edge & Advantage

This provides an edge by systematically identifying physically compromised teams whose fatigue may not be fully reflected in the betting line.

Key Indicators

• 3-in-4 Flag

  high

  A binary indicator that is true if a team is playing its third game in four nights.

• Opponent Rest Advantage

  high

  The difference in the number of full rest days between the opponent and the team being analyzed.

• Travel Distance (48h)

  medium

  Total distance traveled between arenas for the preceding two games, indicating travel strain.

Data Sources

• Official League Schedules (e.g., NHL API)

  Provides game dates, times, and locations for all teams.

• Sports Data Providers (e.g., Sportradar)

  Offers structured, real-time schedule and historical game data.

Example Questions This Pillar Answers

• → Will the road team cover the +1.5 puck line in tonight's game?
• → Will the home team win the moneyline against an opponent on the second night of a back-to-back?
• → Will the total goals scored be under 6.5 in a game featuring a fatigued team?

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