National Hockey League
NHL predictions & analytics
Hockey is low-scoring, so goaltending and luck play a large part in single games. EdgeIQ's NHL projections weigh goal differential, goaltending, special teams and schedule, and they are deliberately cautious about confidence.
Upcoming NHL games
What the NHL model looks at
Goal differential
Adjusted for opponent strength, it summarises how well a team controls games.
Goaltending
The starting goalie can matter more than any other single player in hockey.
Special teams
Power play and penalty kill rates shape close games.
Schedule
Back-to-backs and travel are tracked as fatigue signals.
Known limitations
- Overtime and shootouts add randomness to close matchups.
- Starting goalies are often confirmed only on game day.
Measured results for every model version are published in the Model Lab. Projections are estimates, never guarantees.
Related reading
- NHL Analytics: Understanding Hockey Prediction ModelsHockey is low-scoring, fast and heavily influenced by goaltending and luck. How that shapes NHL prediction models, why probabilities stay close to 50%, and what inputs matter.
- How Sports Prediction Models WorkA plain-English tour of a sports prediction model: the data it learns from, the features it builds, how it turns them into a probability, and how it is tested before anyone relies on it.
- What Does a 70% Win Probability Actually Mean?A 70% win probability is not a prediction that a team will win. It is a statement about frequency. Here is how to read it, how to check it, and the mistakes people make with it.
- Understanding Brier Score in Sports PredictionsThe Brier score measures how good probability forecasts are, not just whether picks were right. Worked examples, benchmarks and the common traps when comparing models.