AI NHL picks yesterday
Yesterday's record: the AI consensus picked the right result in 4 of 5 games (80%). We publish the misses too, and the AI leaderboard grades every model.
NHL
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Toronto Maple Leafs vs New York Rangers
Thu 23:00 UTC✓ Result rightFinal score: Toronto Maple Leafs 5–4 New York Rangers. Before kickoff, 10 of 10 AI models pick Toronto Maple Leafs to win (100%); the consensus was right. The AI predicted score was 4–3.
Full breakdown, form and head-to-head → -
Pittsburgh Penguins vs Florida Panthers
Thu 23:00 UTC✓ Result rightFinal score: Pittsburgh Penguins 4–0 Florida Panthers. Before kickoff, 8 of 10 AI models pick Pittsburgh Penguins to win (80%); the consensus was right. The AI predicted score was 4–3.
Full breakdown, form and head-to-head → -
Boston Bruins vs Nashville Predators
Thu 23:00 UTC✓ Result rightFinal score: Boston Bruins 6–0 Nashville Predators. Before kickoff, 9 of 10 AI models pick Boston Bruins to win (90%); the consensus was right. The AI predicted score was 3–2.
Full breakdown, form and head-to-head → -
New Jersey Devils vs Anaheim Ducks
Thu 23:00 UTC✓ Result rightFinal score: New Jersey Devils 4–1 Anaheim Ducks. Before kickoff, 10 of 10 AI models pick New Jersey Devils to win (100%); the consensus was right. The AI predicted score was 4–2.
Full breakdown, form and head-to-head → -
Ottawa Senators vs San Jose Sharks
Thu 23:00 UTC✗ Result wrongFinal score: Ottawa Senators 2–6 San Jose Sharks. Before kickoff, 10 of 10 AI models pick Ottawa Senators to win (100%); the consensus was wrong. The AI predicted score was 4–2.
Full breakdown, form and head-to-head → -
New York Islanders vs Los Angeles Kings
Thu 23:30 UTC9 of 10 AI models pick Los Angeles Kings to win (90%). The mean predicted score is 3–4 at 59% average confidence (medium).
Full breakdown, form and head-to-head →
How these NHL computer picks are made
Every fixture on this page was run through the same panel of independent AI models. Each model returns a winner and a scoreline; we publish the vote split, the mean predicted score and the average confidence, then grade every model once the result is in. Open any match for recent form, head-to-head history and the full model table, or ask the council your own question.
Think of them as computer picks built from language models instead of a single formula: ten AI models read the same form, injuries and head-to-head data and pick each game straight up. When they all agree, the pick has historically been far more reliable than a split vote. Every model's record is public on the AI prediction leaderboard. Not betting advice.