01 · 2 legs
Safe
- GKS Katowice to win48%
- Over 1.5 goals81%
Ekstraklasa15°0,3 mm18 km/h
Läs på svenskaSofia Andersson · · The model's read on the match · How the predictions work
The head-to-head record between GKS Katowice and KS Cracovia is a tight 2-2 over four matches, a small sample that offers limited predictive power. Instead, let's focus on current form and expected goals data. Katowice, the hosts, are slightly ahead in the league standings with 9 points compared to Cracovia's 8, but the underlying numbers suggest a more nuanced picture. While Katowice leads in expected goals per match at 1.7, Cracovia's defense is statistically tighter, conceding fewer expected goals at 1.3 compared to Katowice's 1.8.
The expected goals tell a tale of contrasting styles: Katowice's possession-based, high-press game generates opportunities but also leaves them vulnerable at the back. Cracovia, on the other hand, are built for the counterattack, relying on crosses to create chances. This tactical clash often results in dynamic, open games — something the 59% chance of over 2.5 goals and 60% likelihood of both teams scoring seem to support.
Model probabilities favor Katowice with a 48% chance of winning, pointing to a narrow edge. Most likely scorelines like 1-1 (11%) and 2-1 (10%) reflect the competitive nature of this matchup. Despite Cracovia's stronger defensive metrics, their counter-attacking approach may find it difficult to contain Katowice's high press at home, where they have a historical 56% win rate.
For the sharp bettors, value can be found in Katowice's win probability. Their odds may not fully reflect their home advantage and style mismatch against Cracovia's counterplay. Depending on the available odds from your bookmaker, exploiting this angle could offer potential returns. Look for Katowice at odds longer than the implied 48% chance — a calculated risk worth considering in this nuanced Ekstraklasa encounter.
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 | GKS Katowice | KS Cracovia |
|---|---|---|
| Points | 9 | 8 |
| xPoints | 7.8 | 9.8 |
| xG per match | 1.7 | 1.6 |
| xGA per match | 1.8 | 1.3 |
| xG within 8s of winning the ball | 0.43 | 0.22 |
| xGA within 8s of losing the ball | 0.09 | 0.2 |
| Playing style | GKS Katowice | KS Cracovia |
|---|---|---|
| Build-up efficiency | 0.29 | 0.31 |
| Field tilt | 0.55 | 0.49 |
| xT per match | 1.6 | 1.2 |
| xTA per match | 1 | 0.87 |
| Won balls, offensive half | 35 | 28 |
| Pressing intensity | 0.26 | 0.25 |
| Pressing efficiency | 0.28 | 0.29 |
| Pressing efficiency, offensive half | 0.25 | 0.25 |
| Entries into the box per match | 16 | 15 |
| Entries into the box against | 14 | 13 |
| Pass completion % | 0.74 | 0.74 |
| Pass completion % under pressure | 0.68 | 0.67 |
| Passes per match | 323 | 314 |
| Passes against per match | 371 | 326 |
| Switches of play per match | 20.4 | 18.1 |
| Long balls per match | 27 | 24 |
| Set pieces | GKS Katowice | KS Cracovia |
|---|---|---|
| xG from free kicks | 0.02 | 0.02 |
| Corners per match | 5.1 | 6.8 |
| Corners against per match | 5.8 | 6.4 |
| xG per corner | 0.03 | 0.05 |
| xGA per corner against | 0.05 | 0.02 |
| First touch, offensive corners % | 0.39 | 0.5 |
| First touch, defensive corners % | 0.54 | 0.67 |
| Other | GKS Katowice | KS Cracovia |
|---|---|---|
| Throw-in control | 0.76 | 0.77 |
| The goalkeepers | Gabriel Kobylak (GKS Katowice) | Sebastian Madejski (KS Cracovia) |
|---|---|---|
| Saves | 18 | 23 |
| Save % | 67% | 74% |
| xG prevented | 32% | 29% |
| Claims | 0 (0%) | 0 (0%) |
The model gives GKS Katowice a 48% win probability. Full 1X2 picture: GKS Katowice 48%, draw 23%, KS Cracovia 29%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 59% and under at 41%.
The probability of both teams scoring is 60% 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.