Schedule Spot: 3-in-4 & Travel

Overview

This pillar identifies teams facing a 'schedule loss', a situation where extreme fatigue from condensed games and travel significantly hurts their performance. It's a key factor often overlooked in standard team-on-team analysis.

What It Does

The model systematically scans the NHL schedule to flag teams playing their third game in four nights, a known high-fatigue scenario. It then compounds this by analyzing travel distance, time zone changes, and the opponent's rest schedule. The result is a clear signal indicating which teams are most likely to underperform due to exhaustion.

Why It Matters

Fatigue is a great equalizer in professional sports, allowing less talented but well-rested teams to beat superior opponents. This pillar provides a predictive edge by systematically finding these spots before the market fully prices in the physical toll on a team.

How It Works

First, the system ingests the full league schedule for a rolling period. It then flags any team scheduled for three games within a four-night window. For flagged teams, it calculates travel distance for the preceding games and compares their rest days directly against their upcoming opponent, generating a 'Rest Advantage' score.

Methodology

The core signal is a binary flag for a '3-in-4' schedule spot. This is weighted by the number of time zones crossed (e.g., +1 for each zone East to West) and total air miles traveled in the last 72 hours. The final 'Fatigue Score' is a weighted average of the 3-in-4 flag, travel metrics, and the 'Rest Advantage' (Team A Rest Days - Opponent Rest Days).

Edge & Advantage

This provides an edge by isolating a purely physical factor that many models, which focus on player stats and team talent, often miss or underweight.

Key Indicators

• 3-in-4 Indicator

  high

  A binary flag that triggers when a team is playing its third game in four nights.

• Rest Advantage Days

  high

  The difference in the number of rest days between a team and its opponent.

• Time Zone Changes

  medium

  The net number of time zones a team has crossed in the last 72 hours.

Data Sources

• Official NHL API

  Provides real-time and historical game schedules, locations, and start times.

• Hockey-Reference.com

  A comprehensive database for historical NHL schedules and game results.

Example Questions This Pillar Answers

• → Will the Edmonton Oilers win their road game against the Florida Panthers on the second night of a back-to-back?
• → Will the total goals be under 6.5 when a tired New York Rangers team faces a rested opponent?
• → Will the Anaheim Ducks cover the +1.5 puck line at home against a team playing its 3rd game in 4 nights?

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