01 · 2 legs
Safe
- Double chance Piast Gliwice or draw (1X)68%
- Over 1.5 goals84%
Ekstraklasa15°22 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
The tension in this match lies in Piast Gliwice's balanced and physical playing style clashing against Pogoń Szczecin's direct approach and low defensive line. If Gliwice can impose their physicality, they may disrupt Szczecin’s rhythm and capitalize on their slight edge in model probabilities. However, the visitors, unbeaten in their last five league matches, bring a resilience that shouldn't be underestimated even if Gliwice holds a slim lead in the points tally.
Despite Gliwice's higher expected goals at 1.74 compared to Szczecin's 1.48, the visitors have posted a stronger xG throughout the season, averaging 1.6 per match. This indicates potentially more efficient attacking opportunities for Szczecin, which could challenge Gliwice's defense. The expected goals against are similarly tight, with Gliwice conceding slightly more on average. These figures hint at a match that could lean toward both teams finding the net, supporting the model’s 64% prediction for both teams to score.
The head-to-head record since 2023, though a small sample of just four games, shows Szczecin winning three times, which suggests they have recently had the upper hand in direct encounters. However, this shouldn't heavily influence predictions as Gliwice's current balance and physical play could alter the pattern. The most likely scorelines of 1-1 and 2-1 reflect a game poised on a knife-edge, with neither side likely to run away with the result.
Pinnacle offers value in Piast Gliwice's win at odds of 2.44, aligning with the model's lean toward the home side. While both teams show attacking promise, the 63% chance for over 2.5 goals suggests a match where defenses might be breached more than once, making a 2-1 win for Gliwice a plausible outcome.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
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 | Piast Gliwice | Pogoń Szczecin |
|---|---|---|
| Points | 10 | 9 |
| xPoints | 7.5 | 9.4 |
| xG per match | 1.2 | 1.6 |
| xGA per match | 1.8 | 1.6 |
| xG within 8s of winning the ball | 0.14 | 0.4 |
| xGA within 8s of losing the ball | 0.31 | 0.17 |
| Playing style | Piast Gliwice | Pogoń Szczecin |
|---|---|---|
| Build-up efficiency | 0.3 | 0.32 |
| Field tilt | 0.5 | 0.43 |
| xT per match | 0.87 | 0.96 |
| xTA per match | 1.1 | 1.2 |
| Won balls, offensive half | 24 | 23 |
| Pressing intensity | 0.25 | 0.23 |
| Pressing efficiency | 0.31 | 0.29 |
| Pressing efficiency, offensive half | 0.29 | 0.2 |
| Entries into the box per match | 12 | 11 |
| Entries into the box against | 13 | 15 |
| Pass completion % | 0.78 | 0.74 |
| Pass completion % under pressure | 0.73 | 0.73 |
| Passes per match | 401 | 299 |
| Passes against per match | 303 | 411 |
| Switches of play per match | 22.9 | 26.3 |
| Long balls per match | 23 | 35 |
| Set pieces | Piast Gliwice | Pogoń Szczecin |
|---|---|---|
| xG from free kicks | 0.04 | 0.17 |
| Corners per match | 5.3 | 3.7 |
| Corners against per match | 6.2 | 4.2 |
| xG per corner | 0.03 | 0.06 |
| xGA per corner against | 0.02 | 0.03 |
| First touch, offensive corners % | 0.35 | 0.27 |
| First touch, defensive corners % | 0.63 | 0.56 |
| Other | Piast Gliwice | Pogoń Szczecin |
|---|---|---|
| Throw-in control | 0.75 | 0.72 |
| The goalkeepers | Domen Gril (Piast Gliwice) | Valentin Cojocaru (Pogoń Szczecin) |
|---|---|---|
| Saves | 23 | 27 |
| Save % | 64% | 87% |
| xG prevented | 57% | 61% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Piast Gliwice a 41% win probability. Full 1X2 picture: Piast Gliwice 41%, draw 28%, Pogoń Szczecin 31%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 63% and under at 37%.
The probability of both teams scoring is 64% 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.