AI predictions for Ekstraklasa matches
Predictions for Ekstraklasa matches are published here, each one before kick-off. For every game we show the main bet, the pick of the largest group of AI models. The odds are recorded when the prediction is published, and the result is marked after the match.
The full match breakdown covers team form, league position, head-to-head record and the betting line.
2026/27 season · updated 12 October
How our Ekstraklasa predictions did
Our pick since 9 October: 7 of 10 won · ROI +23.9% · result +2.39 units
2:1GKS Katowice–Wieczysta KrakówOur pick:O 2.5prediction won8 of 16 on this bet · 3 more in the same direction1 2.03X 3.752 3.092:3Radomiak Radom–Motor LublinOur pick:BTTSprediction won15 of 16 AI models picked this bet1 2.36X 3.452 2.702:0Legia Warsaw–Wisła KrakówOur pick:BTTSprediction lost10 of 16 AI models picked this bet1 2.03X 3.522 3.262:0Pogoń Szczecin–Korona KielceOur pick:1prediction won8 of 16 on this bet · 1 more in the same direction1 2.22X 3.352 3.022:1Piast Gliwice–Widzew ŁódźOur pick:2prediction lost5 of 16 on this bet · 1 more in the same direction1 2.64X 3.402 2.441:3Jagiellonia Białystok–Górnik ZabrzeOur pick:2prediction won8 of 15 on this bet · 4 more in the same direction1 2.56X 3.332 2.561:4Śląsk Wrocław–Lech PoznańOur pick:BTTSprediction won10 of 16 AI models picked this bet1 4.80X 4.242 1.573:1Cracovia–Zagłębie LubinOur pick:BTTSprediction won6 of 16 AI models picked this bet1 1.88X 3.432 3.871:4Raków Częstochowa–GKS KatowiceOur pick:BTTSprediction won8 of 15 AI models picked this bet1 1.99X 3.742 3.193:0Wieczysta Kraków–Wisła PłockOur pick:BTTSprediction lost12 of 15 AI models picked this bet1 2.10X 3.542 3.03All Ekstraklasa results with verified predictions
Ekstraklasa in the 2026/27 season
After 88 matches, teams are scoring 3.0 goals per game on average. Over 2.5 goals landed in 63% of games, and both teams scored in 66%.
| Metric | Season 2026/27 | Season 2025/26 |
|---|---|---|
| Goals per match | 3.01 | 2.74 |
| Home wins | 47% | 45% |
| Draws | 22% | 28% |
| Away wins | 32% | 27% |
| Both teams to score | 66% | 58% |
| Over 1.5 goals | 86% | 76% |
| Over 2.5 goals | 63% | 52% |
| Over 3.5 goals | 32% | 30% |
This season — from 88 played matches, last season — from all 306 matches.
Total — goals by both teams in a match; shares are of all matches played.
Who is in form
| Best form | Górnik Zabrze | · 13 of 15 points |
|---|---|---|
| Most prolific attack | Lech Poznań | 21 goals in 9 matches · 2.3 per match |
| Tightest defence | Pogoń Szczecin | 6 conceded in 9 matches · 0.7 per match |
Form — up to the last five matches, most recent on the right: W — win, D — draw, L — loss; compared per match.
Ekstraklasa table
| # | Team | W | D | L | P | Goals | Pts |
|---|---|---|---|---|---|---|---|
| 1 | Górnik Zabrze | 8 | 1 | 1 | 10 | 19:9 | 25 |
| 2 | Legia Warsaw | 6 | 4 | 0 | 10 | 21:8 | 22 |
| 3 | Lech Poznań | 7 | 1 | 1 | 9 | 21:8 | 22 |
| 4 | Pogoń Szczecin | 5 | 3 | 1 | 9 | 14:6 | 18 |
| 5 | GKS Katowice | 6 | 0 | 4 | 10 | 22:15 | 18 |
| 6 | Wisła Kraków | 5 | 2 | 3 | 10 | 17:14 | 17 |
| 7 | Piast Gliwice | 5 | 1 | 4 | 10 | 18:16 | 16 |
| 8 | Korona Kielce | 4 | 3 | 3 | 10 | 12:12 | 15 |
| 9 | Zagłębie Lubin | 4 | 3 | 3 | 10 | 12:13 | 15 |
| 10 | Jagiellonia Białystok | 4 | 0 | 5 | 9 | 13:16 | 12 |
| 11 | Cracovia | 3 | 2 | 5 | 10 | 12:15 | 11 |
| 12 | Wisła Płock | 3 | 2 | 4 | 9 | 9:15 | 11 |
| 13 | Widzew Łódź | 1 | 6 | 3 | 10 | 14:15 | 9 |
| 14 | Motor Lublin | 2 | 3 | 5 | 10 | 12:17 | 9 |
| 15 | Wieczysta Kraków | 2 | 2 | 6 | 10 | 15:19 | 8 |
| 16 | Radomiak Radom | 2 | 2 | 6 | 10 | 9:23 | 8 |
| 17 | Śląsk Wrocław | 1 | 3 | 6 | 10 | 12:19 | 6 |
| 18 | Raków Częstochowa | 1 | 0 | 9 | 10 | 13:25 | 3 |
The leader is highlighted.
Which AI predicts Ekstraklasa best
Every model sees the same matches and names one bet each. The ranking is by profit.
| # | AI model | Won | Avg odds | ROI | Profit |
|---|---|---|---|---|---|
| 01 |  Dots3-Note | 8 of 10 | 1.59 | +28.5% | +2.85 |
| 02 | Qwen | 7 of 10 | 1.74 | +23.3% | +2.33 |
| 03 | Nemotron Ultra | 6 of 9 | 1.82 | +21.4% | +1.93 |
| 04 | MiniMax | 7 of 10 | 1.67 | +18.2% | +1.82 |
| 05 |  Sonar | 8 of 10 | 1.53 | +17.8% | +1.78 |
| 06 | Nemotron Super | 7 of 10 | 1.63 | +15.4% | +1.54 |
| 07 |  Gemini | 6 of 10 | 1.89 | +13.7% | +1.37 |
| 08 |  Grok | 7 of 10 | 1.64 | +11.3% | +1.13 |
| 09 | Mistral | 7 of 10 | 1.54 | +7.8% | +0.78 |
| 10 |  GLM | 6 of 10 | 1.81 | +7.2% | +0.72 |
| 11 | DeepSeek | 6 of 9 | 1.61 | +5.4% | +0.49 |
| 12 | Xiaomi MiMo | 6 of 10 | 1.74 | +4.3% | +0.43 |
| 13 | ChatGPT | 5 of 8 | 1.68 | +4.7% | +0.42 |
| 14 | DeepSeek Flash | 6 of 10 | 1.73 | +2.0% | +0.20 |
| 15 | Claude | 6 of 10 | 1.65 | −5.2% | −0.52 |
| 16 | Kimi | 4 of 9 | 1.84 | −14.5% | −1.45 |
| All models combined | 102 of 155 | 1.69 | +10.1% | +15.82 | |
| Model consensusour published prediction | 7 of 10 | 1.79 | +23.9% | +2.39 | |
| Bookmakers’ favouritehome or away at the shorter price | 6 of 9 | 2.07 | +31.4% | +2.83 |
All models combined — every bet of every model added up
Model consensus — one bet per match, from the largest group of models pointing the same way. This is what we publish as our prediction
Bookmakers’ favourite — a bet on the side with the shorter price. A yardstick for comparison, not a prediction of ours
The comparison rows are counted on the same matches; the favourite’s price is the last line before kick-off, and matches without it are left out of that row
“won” excludes voids; ROI is profit against the total staked
On a small sample the order can change noticeably from one matchday to the next