01 · 2 legs
Safe
- Union Saint-Gilloise to win71%
- Over 1.5 goals79%
Belgian Pro LeagueStade Joseph Marien, Bryssel18°14 km/h
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LommelCounter-attacks & crossesErik Lindberg · · Written from the model's numbers · How the predictions work
TEXT:
A dominant 71% probability for Royale Union Saint-Gilloise captures the essence of this fixture against Lommel. With a most likely scoreline of 2-0 and an expected goals tally of 2.19 to 0.71, the hosts’ possession control style seems poised to exploit the visitors’ counter-attack tendencies. Historically, Union has proven formidable at home, winning 79% of their matches. They're on a three-match winning streak, further bolstering their confidence.
While Lommel's counter-attacking approach might pose occasional threats, their expected goals against (xGA) of 1.5 per match suggests their defense might struggle. Union's ability to convert possession into goals has been evident, with xG figures consistently higher than their opponents. The over 2.5 goals probability stands at 55%, but the numbers tilt more convincingly towards a straightforward win for the hosts.
The model leans towards a controlled, low-risk outcome; a 2-0 victory seems the soundest prediction given the current form and expected outputs. The chance of both teams scoring remains under 50%, highlighting an opportunity for a clean sheet bet. It's a matchup where pragmatism seems the safest play: backing Union with confidence.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Union Saint-Gilloise | X | 2 · Lommel |
|---|---|---|---|
| Pinnacle | 1.21 | EV+ 18% 6.76 | EV+ 30% 10.98 |
Odds updated 11 Sept, 08:26
1.21 → 1.21
6.75 → 6.76
10.97 → 10.98
Pinnacle · 8 recorded price levels · 06/09/2026 → 11/09/2026 · fixed scale 5 percentage points
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 | Union Saint-Gilloise | Lommel |
|---|---|---|
| Points | 13 | 7 |
| xPoints | 8.9 | 6.5 |
| xG per match | 1.8 | 1.1 |
| xGA per match | 1.1 | 1.5 |
| xG within 8s of winning the ball | 0.2 | 0.13 |
| xGA within 8s of losing the ball | 0.25 | 0.13 |
| Playing style | Union Saint-Gilloise | Lommel |
|---|---|---|
| Build-up efficiency | 0.31 | 0.31 |
| Field tilt | 0.53 | 0.3 |
| xT per match | 1.2 | 0.67 |
| xTA per match | 0.9 | 1.4 |
| Won balls, offensive half | 34 | 20 |
| Pressing intensity | 0.24 | 0.26 |
| Pressing efficiency | 0.31 | 0.23 |
| Pressing efficiency, offensive half | 0.27 | 0.16 |
| Entries into the box per match | 16 | 8 |
| Entries into the box against | 12 | 18 |
| Pass completion % | 0.76 | 0.76 |
| Pass completion % under pressure | 0.7 | 0.75 |
| Passes per match | 369 | 338 |
| Passes against per match | 367 | 462 |
| Switches of play per match | 21.3 | 20.9 |
| Long balls per match | 36 | 32 |
| Set pieces | Union Saint-Gilloise | Lommel |
|---|---|---|
| xG from free kicks | 0.19 | 0.1 |
| Corners per match | 5 | 3 |
| Corners against per match | 3.6 | 8 |
| xG per corner | 0.03 | 0.04 |
| xGA per corner against | 0.02 | 0.01 |
| First touch, offensive corners % | 0.48 | 0.6 |
| First touch, defensive corners % | 0.72 | 0.57 |
| Other | Union Saint-Gilloise | Lommel |
|---|---|---|
| Throw-in control | 0.69 | 0.7 |
| The goalkeepers | Hervé Kouakou Koffi (Union Saint-Gilloise) | Matthias Pieklak (Lommel) |
|---|---|---|
| Saves | 10 | 15 |
| Save % | 83% | 88% |
| xG prevented | 68% | 93% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Union Saint-Gilloise a 71% win probability. Full 1X2 picture: Union Saint-Gilloise 71%, draw 18%, Lommel 12%.
The model's most likely final score is 2-0 at 13% probability.
The model rates over 2.5 goals at 55% and under at 45%.
The probability of both teams scoring is 45% 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.