Goalie Workload & Back-to-Back Fatigue

Overview

This pillar quantifies the performance decline of NHL goalies playing with minimal rest. It provides a data-driven edge for predicting game totals and outcomes by identifying vulnerable starting goalies.

What It Does

The analysis focuses on how a goalie's recent workload, specifically back-to-back starts or a high volume of games in a short period, impacts key performance metrics. It aggregates historical data to calculate the statistical drop-off in save percentage and goals against average under these specific fatigue conditions. This creates a predictive signal for games where a goalie is likely to underperform.

Why It Matters

Goaltending is the most impactful single position in hockey, yet markets often underestimate the effect of fatigue. This pillar provides a quantifiable edge by flagging situations where a team's defense is likely compromised, leading to a higher probability of goals being scored against them.

How It Works

First, the system identifies the confirmed starting goalies for an upcoming NHL game. It then retrieves their recent game logs to calculate rest days and games played over the last 4 and 7 day windows. Finally, it compares the goalie's baseline performance statistics to their historical performance in similar high-fatigue situations to generate a fatigue-adjusted projection.

Methodology

A Goalie Fatigue Score (GFS) is calculated based on a weighted average of Days Since Last Start (DSLS), Games in Last 4 Nights (G4), and recent travel. The model uses a regression analysis on 5 seasons of historical data to determine the expected negative adjustment to a goalie's Save Percentage (SV%) and Goals Against Average (GAA) per GFS point. For example, playing on 0 days rest applies a standard -0.008 adjustment to the expected SV%.

Edge & Advantage

This pillar offers a specific, data-driven adjustment for a team's defensive capabilities that general team-level stats and public perception often miss.

Key Indicators

• 0 Days Rest Save % Split

  high

  The difference in a goalie's save percentage when playing on the second night of a back-to-back versus their career average.

• Recent Games Start Count

  high

  The number of games a goalie has started in the last 4 and 7 days, indicating accumulated workload.

• Travel Distance Between Starts

  medium

  The mileage a team has traveled between consecutive games, which contributes to overall player fatigue.

Data Sources

• Hockey-Reference.com

  Provides comprehensive historical game logs, goalie statistics, and scheduling data.

• Natural Stat Trick

  Offers advanced hockey analytics, including goalie performance metrics under various game conditions.

Example Questions This Pillar Answers

• → Will the total goals in the Rangers vs. Islanders game be over 5.5?
• → Will Andrei Vasilevskiy's save percentage be over .915 tonight against the Panthers?
• → Will the Toronto Maple Leafs win their game against the Boston Bruins?

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