01 · 2 legs
Safe
- Jagiellonia Białystok to win59%
- Over 1.5 goals83%
Ekstraklasa14°2,2 mm21 km/h
Läs på svenskaMarcus Johansson · · Analysis from the match model · How the predictions work
The model gives Jagiellonia Białystok a solid 59% win probability, a clear lean towards the hosts. Their possession-based style contrasts sharply with Slask Wroclaw's low block and direct approach, hinting at a clash of football philosophies. Despite an unbeaten head-to-head record since 2023, the small sample of two draws weighs less than their current form and expected goals. Slask's defensive resilience could be tested against Jagiellonia's controlled build-up.
Both teams have vulnerabilities—Jagiellonia's 1.6 xGA suggests they struggle defensively, while Slask's 1.4 xG indicates inefficiencies in attacking play. Yet, the expected goals tilt in Jagiellonia's favor at 1.98 to 1.22, reinforcing their edge. With 62% probability of over 2.5 goals and 61% for both teams to score, the numbers hint at a match that could open up, despite the potential dampening effect of rain.
The likeliest scorelines—1-1 and 2-1—reflect the delicate balance between these sides. However, Jagiellonia's home advantage and superior xG suggest a 2-1 victory is within reach. For those seeking value, the over 2.5 goals at odds of 1.80 with Unibet aligns well with the statistical outlook, offering an enticing punt.
The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Jagiellonia Białystok | X | 2 · Slask Wroclaw |
|---|---|---|---|
| Betfair Exchange | 1.10 | 1.10 | 1.10 |
| Betsafe | 1.68 | 3.85 | 4.10 |
| Betsson | 1.68 | 3.85 | 4.10 |
| Nordicbet | 1.68 | 3.85 | 4.10 |
| Paddy Power | 1.67 | 3.80 | 4.20 |
| Pinnacle | 1.68 | 4.32 | 4.57 |
Odds updated 6 Sept, 11:36
1.64 → 1.68
4.24 → 4.32
4.53 → 4.57
Pinnacle · 7 recorded price levels · 04/09/2026 → 06/09/2026 · 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 | Jagiellonia Białystok | Slask Wroclaw |
|---|---|---|
| Points | 9 | 6 |
| xPoints | 6.7 | 8.3 |
| xG per match | 1.7 | 1.4 |
| xGA per match | 1.6 | 1.4 |
| xG within 8s of winning the ball | 0.13 | 0.36 |
| xGA within 8s of losing the ball | 0.49 | 0.32 |
| Playing style | Jagiellonia Białystok | Slask Wroclaw |
|---|---|---|
| Build-up efficiency | 0.28 | 0.3 |
| Field tilt | 0.57 | 0.57 |
| xT per match | 1.2 | 1.3 |
| xTA per match | 1.1 | 1.2 |
| Won balls, offensive half | 22 | 25 |
| Pressing intensity | 0.23 | 0.24 |
| Pressing efficiency | 0.33 | 0.28 |
| Pressing efficiency, offensive half | 0.28 | 0.24 |
| Entries into the box per match | 15 | 18 |
| Entries into the box against | 13 | 16 |
| Pass completion % | 0.79 | 0.73 |
| Pass completion % under pressure | 0.74 | 0.7 |
| Passes per match | 397 | 305 |
| Passes against per match | 293 | 346 |
| Switches of play per match | 23.1 | 19.6 |
| Long balls per match | 31 | 27 |
| Set pieces | Jagiellonia Białystok | Slask Wroclaw |
|---|---|---|
| xG from free kicks | 0.01 | 0.01 |
| Corners per match | 4.2 | 3.7 |
| Corners against per match | 4.6 | 5.5 |
| xG per corner | 0.02 | 0.02 |
| xGA per corner against | 0.04 | 0.03 |
| First touch, offensive corners % | 0.33 | 0.57 |
| First touch, defensive corners % | 0.61 | 0.62 |
| Other | Jagiellonia Białystok | Slask Wroclaw |
|---|---|---|
| Throw-in control | 0.76 | 0.74 |
| The goalkeepers | Slawomir Abramowicz (Jagiellonia Białystok) | Karol Stanisław Niemczycki (Slask Wroclaw) |
|---|---|---|
| Saves | 13 | 20 |
| Save % | 65% | 74% |
| xG prevented | 43% | 65% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Jagiellonia Białystok a 59% win probability. Full 1X2 picture: Jagiellonia Białystok 59%, draw 20%, Slask Wroclaw 20%.
The model's most likely final score is 1-1 at 10% probability.
The model rates over 2.5 goals at 62% and under at 38%.
The probability of both teams scoring is 61% 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.