AI hockey predictions
Europe predictions26 September 2026
19 games listed; 19 include a complete forecast. See the projected winner, score, overtime probability and goal total from our ratings.
Europe Elitehockeyligaen · Norway
Postp.Lillehammer IK1–7Sparta Warriors1–5SPA 53%47%Projected3–4OT 18%Goals 5.414:00Nidaros Hockey4–4Frisk Asker9–8NID 51%49%Projected4–3OT 17%Goals 5.614:00Ringerike IHK8–0Stjernen Hockey4–5RIN 53%47%Projected4–3OT 17%Goals 5.614:00Vålerenga IF9–3Narvik Hockey Arctic Eagles1–8VAA 58%42%Projected3–2OT 17%Goals 5.316:30Stavanger Oilers7–6Storhamar Ishockey13–4STH 61%39%Projected2–3OT 17%Goals 5.4
Europe Liiga · Finland
14:00HPK Hämeenlinna8–11Porin Ässät10–11ASP 57%43%Projected2–3OT 20%Goals 4.314:00KalPa Kuopio9–11Rauman Lukko7–9KAL 60%40%Projected3–2OT 18%Goals 4.814:00Kiekko-Espoo10–6Jokerit Helsinki12–7KIE 64%36%Projected3–2OT 19%Goals 4.314:00KooKoo Kouvola14–14Mikkelin Jukurit7–6JUK 59%41%Projected2–3OT 18%Goals 5.114:00Lahti Pelicans10–9HIFK Helsinki9–8PEL 51%49%Projected3–2OT 20%Goals 4.314:00Tappara Tampere19–9SaiPa Lappeenranta13–10TAP 58%42%Projected3–2OT 20%Goals 4.014:00Vaasan Sport3–11Oulun Kärpät4–7KOU 52%48%Projected2–3OT 20%Goals 4.4Odds 2.18 1.67
Europe SHL · Sweden
13:15Brynäs IF4–5Luleå Hockey8–10BIF 64%36%Projected3–2OT 16%Goals 5.913:15IF Björklöven15–2Färjestad BK6–5IFB 67%33%Projected4–2OT 15%Goals 6.113:15Rögle BK12–9Linköping HC3–4RBK 64%36%Projected4–3OT 15%Goals 6.216:00Malmö Redhawks6–7Frölunda HC4–7MIF 60%40%Projected4–3OT 16%Goals 5.916:00Timrå IK0–7Djurgårdens IF4–6TIK 59%41%Projected3–2OT 17%Goals 5.616:00Växjö Lakers HC6–8HV716–4VLH 56%44%Projected4–3OT 16%Goals 6.416:00Örebro HK7–3Skellefteå AIK15–4ÖHK 50%50%Projected4–3OT 16%Goals 6.4
How the predictions work
Each team receives a strength rating that changes after every game, based on result surprise and goal margin. A separate model measures goals scored and allowed against league averages. Home ice is estimated separately for each league. Because goals are infrequent, Poisson goal distributions generate overtime, two-goal win and total-goal probabilities. Limited game history moves teams toward the average, keeping forecasts conservative.
Each team receives a strength rating that changes after every game, based on result surprise and goal margin. A separate model measures goals scored and allowed against league averages. Home ice is estimated separately for each league. Because goals are infrequent, Poisson goal distributions generate overtime, two-goal win and total-goal probabilities. Limited game history moves teams toward the average, keeping forecasts conservative.