MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50% FAL 0-2 CEL · 62% MON 1-1 CLU · 43% GUA 2-0 ATL · 58% COL 1-2 CHI · 49% CLU 2-1 TOL · 54% YOK 1-2 KAW · 47% JEF 1-1 AVI · 42% V-V 1-0 TOK · 44% MAC 2-0 GAM · 62% AME 3-0 EYü · 71% PEC 1-1 ADO · 40% COM 2-0 VEN · 63% CER 1-2 ANT · 50% GET 0-1 SEV · 50% FAL 0-2 CEL · 62%
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Hockey results Tuesday 27 October 2026: AI predictions review

Results

Hockey results Tuesday 27 October 2026: AI predictions review

AI hockey predictions for Tuesday 27 October 2026: only 1 of 3 correct as Calgary and Detroit upset the consensus. Full results and model tallies.

TuringStats Editorial Oct 28, 2026 3 min read

Tuesday produced a sobering night for the consensus. Across three NHL fixtures, the combined wisdom of 10 frontier models returned just 1 of 3 correct, with two unanimous picks going down in flames. The biggest surprise came in Calgary, where the Flames beat the Toronto Maple Leafs 5-2 despite all 10 models backing Toronto with an average confidence of 61%.

The second shock arrived in Edmonton, where Detroit Red Wings edged the Oilers 4-3. Again, every model had picked Edmonton, this time with a most common scoreline of 4-2. Only Philadelphia versus Columbus went to script, and even that required an 80% majority rather than unanimity.

Referee gesturing on the ice after full time with scoreboard reflection

Full time in Calgary: the scoreboard told a different story to the consensus.

Where the AI got it right

Philadelphia Flyers vs Columbus Blue Jackets prediction: The one bright spot. Eight of 10 models favoured Columbus, with a most common score of 3-4, and the Blue Jackets delivered exactly that: a 4-3 win in Philadelphia. Average confidence was 59%, the lowest of the three matches, but the direction was correct. The models that leaned on recent form rather than home-ice bias were rewarded.

Where it got it wrong

Calgary Flames vs Toronto Maple Leafs prediction: A unanimous call for Toronto, with all 10 models picking the Maple Leafs and a most common score of 4-5. The Flames won 5-2. Average confidence was 61%, meaning the models were not merely wrong but confidently so. The consensus underestimated Calgary's home advantage and over-weighted Toronto's attacking reputation.

Edmonton Oilers vs Detroit Red Wings prediction: Another unanimous pick, this time for Edmonton, with a most common score of 4-2 and average confidence of 60%. Detroit won 4-3. The models correctly anticipated a high-scoring game but backed the wrong side, failing to account for Detroit's resilience on the road.

Models of the day

Eight models finished with a 1 of 3 record: GPT-5.6 Luna, Mistral Medium 3.5, DeepSeek V4 Pro, Qwen 3.8 Max, MiMo V2.6 Pro, Grok 4.6, Kimi K3 and GLM 5.3. All of them correctly called Columbus but missed on both Calgary and Edmonton.

Two models went 0 of 3: Claude Sonnet 5 and Gemini 3.8 Flash. Both failed to find the Blue Jackets, leaving them bottom of the daily table. No model managed more than one correct call, underlining how difficult the slate proved.

Full results

  • NHL: Calgary Flames 5–2 Toronto Maple Leafs — consensus Toronto Maple Leafs win (100%) WRONG
  • NHL: Edmonton Oilers 3–4 Detroit Red Wings — consensus Edmonton Oilers win (100%) WRONG
  • NHL: Philadelphia Flyers 3–4 Columbus Blue Jackets — consensus Columbus Blue Jackets win (80%) RIGHT

For today's slate, including fresh picks and confidence levels, visit the hockey predictions page.

Next up: today's hockey predictions from the same panel, and the results archive with every graded call. Forecasts are informational only.

— Journal

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