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Hockey · Sport academy

NHL Academy

Hockey is low-scoring and goalie-dependent. Shots are the stable signal; goals are the noisy one.

What matters

Goals are rare, so short-run results are dominated by variance and goaltending. Shot volume and ice time are far more stable. Strength state — even strength, power play, penalty kill, empty net — changes scoring rates sharply within a game.

Important data

InputWhy it matters
Shots on goal and attemptsStable volume signal
Time on ice and power-play roleOpportunity
Starting goaltenderA major pregame uncertainty
Strength stateThe core live condition

Common metrics

MetricWhat it measuresHow to read it
Shots on goalShots requiring a saveCount stat, often Poisson-like
Save percentageSaves / shots facedVery noisy in small samples
Expected goals (xG)Goal probability per shotOnly meaningful once validated
Strength state5v5, 5v4, 6v5Live scoring-rate switch

Model concepts

NHL release criteria (as published)

Criteria were frozen before the first fit: beat distance-only and constant baselines on log loss and Brier, stay inside calibration bounds, hold up season by season, show zero leakage findings and score identically in production. Even a pass keeps the model in shadow; shadow models never appear as picks. Danger buckets are labelled as a geometric heuristic, not xG.

Live intelligence

PBE Cast follows score, period, strength and shots. A power play is the biggest live shift in scoring probability short of an empty net.

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Worked example

Worked example · shots over 2.5
  1. A skater averages 3.0 shots on goal per game. If shots were Poisson with λ = 3.0: P(≥3) = 57.7%.
  2. If his ice time varies a lot game to game, real shots are overdispersed and P(≥3) is lower than the Poisson figure, with more 0–1 shot nights.
The shape assumption changes the answer on a line near the mean.

Glossary

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