01 · 2 legs
Safe
- Double chance Lommel or draw (1X)67%
- Under 3.5 goals72%
Belgian Pro LeagueSoevereinstadion, Lommel14°18,0 mm21 km/h
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LommelCounter-attacks & crossesOscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
Lommel enters this clash against Mechelen as the model's slight favorite, with a 39% chance of victory. This is an interesting stance given the underlying metrics. Both teams tend to play with a similar strategy, favoring counter-attacks and crosses, which often makes for a tightly contested affair. The most probable scoreline according to the model is a 1-1 draw, occurring 13% of the time. Yet, with Lommel's marginally better points tally, a narrow 1-0 victory to the hosts at 10% is also on the cards.
With Lommel sitting on 7 points compared to Mechelen's 2, the hosts clearly have the edge in both league form and expected points. However, Mechelen's superior xG per match at 1.2 to Lommel's 1.1 suggests they are not to be underestimated offensively. What tips the balance back towards Lommel is their relatively stronger defensive metrics, conceding fewer expected goals against per match (1.5 vs 1.8).
The statistical likelihood of over 2.5 goals is dead even at 50%. Yet both teams scoring is slightly favored at 54%, implying a scenario where each side finds the net is just slightly more likely than not. The clash of similar styles may well lead to a cautious start, keeping scores lower initially.
Given the model's reliance on current season form and expected goals data, betting angles should focus on these present dynamics.
Looking at the model's lean towards the hosts, combined with their statistical advantages, Lommel to win could present an enticing option for those seeking a positive expected value bet.
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 | Mechelen |
|---|---|---|
| Points | 7 | 2 |
| xPoints | 6.5 | 4.4 |
| xG per match | 1.1 | 1.2 |
| xGA per match | 1.5 | 1.8 |
| xG within 8s of winning the ball | 0.13 | 0.4 |
| xGA within 8s of losing the ball | 0.13 | 0.5 |
| Playing style | Lommel | Mechelen |
|---|---|---|
| Build-up efficiency | 0.31 | 0.3 |
| Field tilt | 0.3 | 0.59 |
| xT per match | 0.67 | 0.87 |
| xTA per match | 1.4 | 1.1 |
| Won balls, offensive half | 20 | 27 |
| Pressing intensity | 0.26 | 0.23 |
| Pressing efficiency | 0.23 | 0.31 |
| Pressing efficiency, offensive half | 0.16 | 0.31 |
| Entries into the box per match | 8 | 14 |
| Entries into the box against | 18 | 13 |
| Pass completion % | 0.76 | 0.73 |
| Pass completion % under pressure | 0.75 | 0.68 |
| Passes per match | 338 | 364 |
| Passes against per match | 462 | 335 |
| Switches of play per match | 20.9 | 24 |
| Long balls per match | 32 | 37 |
| Set pieces | Lommel | Mechelen |
|---|---|---|
| xG from free kicks | 0.1 | 0.04 |
| Corners per match | 3 | 3.7 |
| Corners against per match | 8 | 3.1 |
| xG per corner | 0.04 | 0.02 |
| xGA per corner against | 0.01 | 0.04 |
| First touch, offensive corners % | 0.6 | 0.32 |
| First touch, defensive corners % | 0.57 | 0.5 |
| Other | Lommel | Mechelen |
|---|---|---|
| Throw-in control | 0.7 | 0.67 |
| The goalkeepers | Matthias Pieklak (Lommel) | Ignacio Mirás Blanco (Mechelen) |
|---|---|---|
| Saves | 15 | 17 |
| Save % | 88% | 57% |
| xG prevented | 93% | 50% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Lommel a 39% win probability. Full 1X2 picture: Lommel 39%, draw 32%, Mechelen 29%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 50% and under at 50%.
The probability of both teams scoring is 54% 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.