01 · 2 legs
Safe
- Gent to win60%
- Over 1.5 goals79%
Belgian Pro LeagueSoevereinstadion, Lommel10°10 km/h
Läs på svenskaBetBuilders AI model prediction for Lommel vs Gent (Belgian Pro League, Saturday, 31 October 2026): Lommel win 18%, draw 23%, Gent win 60%. Expected goals (xG): Lommel 0.95, Gent 1.96. Most likely score: 0-2 (10%). Over 2.5 goals 56%, both teams to score 53%. Double chance: Lommel or draw 40%, Gent or draw 82%. Prediction updated Friday, 23 October 2026.
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Anna Karlsson · · A data-driven preview · How the predictions work
KAA Gent's unbeaten run of nine league matches sets the stage for their visit to Lommel, a team they are statistically poised to overcome. With a 60% probability of victory, the visitors carry a clear edge into this fixture. The most likely scorelines of 0-2, 1-1, and 0-1 suggest a tussle that leans in favor of Gent, emphasizing their defensive solidity and attacking efficiency. They have scored in each of their last nine matches, a streak that bolsters their confidence.
Despite Lommel's penchant for counterattacks and crosses, their defense remains vulnerable, with an expected goals against (xGA) of 1.7 per match. This weakness is stark compared to Gent's 0.78 xGA, highlighting a key area where the visitors can capitalize. Gent's balanced and physical style is likely to neutralize Lommel's strategies, reinforcing the model's expectation of a win for the visitors.
Anticipate a 0-2 win for the visitors, with a lean towards over 2.5 goals at 56%, aligning with Gent's potent attack.
01 · 2 legs
02 · 3 legs
03 · 4 legs
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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 | Lommel | Gent |
|---|---|---|
| Points | 11 | 22 |
| xPoints | 9.8 | 14.9 |
| xG per match | 1.1 | 1.3 |
| xGA per match | 1.7 | 0.78 |
| xG within 8s of winning the ball | 0.1 | 0.17 |
| xGA within 8s of losing the ball | 0.27 | 0.17 |
| Playing style | Lommel | Gent |
|---|---|---|
| Build-up efficiency | 0.31 | 0.3 |
| Field tilt | 0.3 | 0.42 |
| xT per match | 0.64 | 0.93 |
| xTA per match | 1.5 | 0.89 |
| Won balls, offensive half | 19 | 24 |
| Pressing intensity | 0.26 | 0.23 |
| Pressing efficiency | 0.25 | 0.25 |
| Pressing efficiency, offensive half | 0.18 | 0.2 |
| Entries into the box per match | 9 | 11 |
| Entries into the box against | 20 | 11 |
| Pass completion % | 0.76 | 0.8 |
| Pass completion % under pressure | 0.74 | 0.74 |
| Passes per match | 348 | 399 |
| Passes against per match | 450 | 457 |
| Switches of play per match | 23.3 | 39.7 |
| Long balls per match | 33 | 45 |
| Set pieces | Lommel | Gent |
|---|---|---|
| xG from free kicks | 0.07 | 0.04 |
| Corners per match | 3.7 | 4.4 |
| Corners against per match | 8 | 4.2 |
| xG per corner | 0.04 | 0.02 |
| xGA per corner against | 0.02 | 0.02 |
| First touch, offensive corners % | 0.53 | 0.4 |
| First touch, defensive corners % | 0.55 | 0.65 |
| Other | Lommel | Gent |
|---|---|---|
| Throw-in control | 0.68 | 0.68 |
| The goalkeepers | Matthias Pieklak (Lommel) | Davy Roef (Gent) |
|---|---|---|
| Saves | 28 | 22 |
| Save % | 78% | 85% |
| xG prevented | 77% | 56% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Gent a 60% win probability. Full 1X2 picture: Lommel 18%, draw 23%, Gent 60%.
The model's most likely final score is 0-2 at 10% probability.
The model rates over 2.5 goals at 56% and under at 44%.
The probability of both teams scoring is 53% according to the model.
The model expects 0.95 goals (xG) for Lommel and 1.96 for Gent, 2.91 in total.
Lommel or draw (1X) 40%, Gent or draw (X2) 82% and no draw (12) 77%.
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.

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