OH Leuven vs Lommel United Prediction, Tips & Odds
OH Leuven vs Lommel United
Match Preview
The model favours Lommel United to win against OH Leuven, with a projected scoreline of 2-0. Lommel currently occupies 9th place in the standings with 11 points from 8 matches, showing a balanced performance with 3 wins, 2 draws, and 3 losses. They have scored 9 goals while conceding an equal number, indicating a steady attack and defence. Recent form has been mixed, but they managed two wins in their last five outings, suggesting some momentum. In contrast, OH Leuven sits in 14th place, having struggled significantly this season with only 1 win, 1 draw, and 5 losses from 7 matches, accumulating just 4 points. Their goal difference of -8 highlights defensive vulnerabilities, as they have conceded 13 goals while scoring only 5. Their recent form is concerning, with just one win alongside three losses in their last five games, suggesting ongoing difficulties in both attack and defence. The model indicates a win probability of approximately 60% for Lommel United. However, a potential caveat could be OH Leuven's home advantage, which may influence the match dynamics. For a detailed explanation of how we reached this prediction, please refer to the "How We Reached This Prediction" section. This analysis is brought to you by The Daily Punt Analysis Team, utilising an in-house model that evaluates fixtures through expected goals and actual results across the season.
Head to Head
Last 10 Meetings (OH Leuven leads 8-2)In the last 10 matches between OH Leuven and Lommel United, OH Leuven has won 8 times, Lommel United has won 2 times, and there have been no draws. The scorelines indicate a generally dominant performance by OH Leuven, with several heavy wins, including a 5-1 victory in a friendly and three instances of winning by two goals or more in league matches. Lommel United's two victories were narrow, with a 3-2 win in December 2019 and a 2-1 win in December 2018, suggesting that OH Leuven has largely controlled this rivalry. Lommel's last win was over four years ago, highlighting the challenges they have faced against OH Leuven.
Jupiler Pro League Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Gent | 8 | 7 | 1 | 0 | 15 | 4 | 11 | 22 | WWDWW |
| 2 |  Club Brugge KV | 8 | 7 | 0 | 1 | 19 | 4 | 15 | 21 | WWWWL |
| 3 |  Charleroi | 8 | 7 | 0 | 1 | 16 | 7 | 9 | 21 | WWWLW |
| 4 |  Union St. Gilloise | 8 | 6 | 2 | 0 | 22 | 4 | 18 | 20 | DWWWW |
| 5 |  Anderlecht | 8 | 5 | 1 | 2 | 9 | 6 | 3 | 16 | WWWDW |
| 6 |  KVC Westerlo | 8 | 4 | 1 | 3 | 20 | 17 | 3 | 13 | WWWWD |
| 10 | Lommel United | 8 | 3 | 2 | 3 | 9 | 9 | 0 | 11 | WDLLW |
| 15 | OH Leuven | 8 | 1 | 2 | 5 | 6 | 14 | -8 | 5 | DWDLL |
| 16 |  RAAL La Louvière | 8 | 1 | 1 | 6 | 8 | 18 | -10 | 4 | LLWLD |
| 17 |  Kortrijk | 8 | 1 | 0 | 7 | 2 | 18 | -16 | 3 | LWLLL |
| 18 |  Cercle Brugge | 8 | 0 | 3 | 5 | 9 | 16 | -7 | 3 | LLDLL |
Venue Record
Current season at home / on the roadKey Statistics
2026 SeasonOH Leuven have won 8 of their last 19 matches at home, drawing 3 and losing 8. Their recent home fixtures include beat Francs Borains 1-0 and beat RAAL La Louvière 2-0.
Overall, the wider run reads 10W 10D 18L from the last 38 games (26% win rate). The form line has been negative, with defeats outweighing wins across the sample.
Lommel United have won 7 of their last 16 matches on the road, drawing 4 and losing 5. Their recent away fixtures include lost to Lommel United 4-1 and beat SK Beveren 1-3.
Overall, the wider run reads 15W 6D 10L from the last 31 games (48% win rate). The form line is positive, with more wins than defeats across the sample.
Lineups
Lineups not yet announced
Starting lineups are usually confirmed approximately 1 hour before kick-off.
Unavailable Players
0 playersOH Leuven
No reported absences
Lommel United
No reported absences
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The Daily Punt Analysis Team
Data-driven football predictions and betting tips
This forecast was built by the The Daily Punt Analysis Team using our in-house statistical model. We feed the model two layers of data for every fixture: each team's recent expected goals (xG and xGA) and their actual goals scored and conceded, split by home and away venue. The numbers run through a Poisson distribution that produces a probability for every possible scoreline, which we then convert into fair odds for the 1X2, correct score, BTTS, and over/under markets.
Before publishing, we cross-check our fair odds against the prices the major bookmakers are offering. Where a bookmaker is paying out more than our model says is mathematically fair, we flag that market as a value bet on this page.
