01 · 2 legs
Safe
- Lech Poznań to win51%
- Over 1.5 goals76%
Ekstraklasa13°0,1 mm7 km/h
Läs på svenskaErik Lindberg · · Written from the model's numbers · How the predictions work
TEXT: Lech Poznań's chances of securing a victory against Górnik Zabrze are pegged at 51%, a solid indicator of their dominance in this matchup. Despite Zabrze's commendable streak of scoring in eight consecutive league matches, the visitors' recent form is hard to overlook, with five straight wins under their belt. Moreover, Lech's defensive capabilities, highlighted by an xGA of just 0.82, provide a sturdy backbone against the hosts who exhibit a possession control style.
With a small head-to-head sample of just four matches since 2023, it's clear Lech has had the upper hand, winning three out of these encounters. While Górnik boasts a 57% all-time home win rate (37 matches played), the statistical edge remains with Lech, both in terms of xPoints and xG per match. The most likely scoreline according to the model is a 1-1 draw at 12%, but Lech's superior metrics suggest a 0-1 or 1-2 result isn't far-fetched.
The opportunistic play is on Lech Poznań to win, especially with value betting odds of 2.3 at Betsafe, Betsson, and Nordicbet, offering a 16% edge. While the over 2.5 goals sits at a slight 52%, the defensive control suggests a more conservative total, solidifying the appeal of backing the visitors at favorable odds.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Górnik Zabrze | X | 2 · Lech Poznań |
|---|---|---|---|
| Betsafe | 2.75 | 3.40 | EV+ 16% 2.30 |
| Betsson | 2.75 | 3.40 | EV+ 16% 2.30 |
| Nordicbet | 2.75 | 3.40 | EV+ 16% 2.30 |
| Paddy Power | 2.30 | 3.60 | EV+ 27% 2.50 |
| Pinnacle | 2.97 | 3.57 | EV+ 17% 2.32 |
Odds updated 11 Sept, 16:38
2.81 → 2.97
3.46 → 3.57
2.41 → 2.32
Pinnacle · 7 recorded price levels · 07/09/2026 → 11/09/2026 · fixed scale 5 percentage points
Head-to-head based on Ekstraklasa data since 2023.
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | Górnik Zabrze | Lech Poznań |
|---|---|---|
| Points | 15 | 16 |
| xPoints | 9.6 | 10.9 |
| xG per match | 1.7 | 1.8 |
| xGA per match | 1.3 | 0.82 |
| xG within 8s of winning the ball | 0.18 | 0.39 |
| xGA within 8s of losing the ball | 0.23 | 0.07 |
| Playing style | Górnik Zabrze | Lech Poznań |
|---|---|---|
| Build-up efficiency | 0.32 | 0.3 |
| Field tilt | 0.53 | 0.59 |
| xT per match | 1.1 | 1.5 |
| xTA per match | 1.2 | 0.83 |
| Won balls, offensive half | 28 | 24 |
| Pressing intensity | 0.24 | 0.24 |
| Pressing efficiency | 0.32 | 0.27 |
| Pressing efficiency, offensive half | 0.26 | 0.25 |
| Entries into the box per match | 16 | 16 |
| Entries into the box against | 15 | 9 |
| Pass completion % | 0.75 | 0.78 |
| Pass completion % under pressure | 0.7 | 0.71 |
| Passes per match | 335 | 372 |
| Passes against per match | 347 | 336 |
| Switches of play per match | 20.8 | 26.6 |
| Long balls per match | 26 | 30 |
| Set pieces | Górnik Zabrze | Lech Poznań |
|---|---|---|
| xG from free kicks | 0.18 | 0.04 |
| Corners per match | 6.2 | 7.3 |
| Corners against per match | 3.8 | 4 |
| xG per corner | 0.04 | 0.02 |
| xGA per corner against | 0.01 | 0.01 |
| First touch, offensive corners % | 0.49 | 0.32 |
| First touch, defensive corners % | 0.65 | 0.79 |
| Other | Górnik Zabrze | Lech Poznań |
|---|---|---|
| Throw-in control | 0.67 | 0.74 |
| The goalkeepers | Philipp Schulze (Górnik Zabrze) | Mateusz Lis (Lech Poznań) |
|---|---|---|
| Saves | 17 | 12 |
| Save % | 71% | 75% |
| xG prevented | 31% | 60% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Lech Poznań a 51% win probability. Full 1X2 picture: Górnik Zabrze 25%, draw 24%, Lech Poznań 51%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 52% and under at 48%.
The probability of both teams scoring is 55% according to the model.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.