Jupiler Pro League ·
Antwerp meet Lommel United in the Jupiler Pro League. Our model gives Antwerp a 48% chance of winning, the draw 24% and Lommel United 27%. Antwerp average 2.0 goals at home; Lommel United concede 1.8 away. Season goal averages point to 1.9-1.8 (3.7 total). Lommel United average 1.4 goals away; Antwerp concede 2.2 at home. Both teams to score is rated at 65% and over 2.5 goals at 63%. These are probabilities, not guarantees, and prices can move before kick-off.
Over 1.5 goals
Model 83% · fair 1.20
1.17
Antwerp or Lommel United (no draw)
Model 76% · fair 1.31
1.25
Antwerp or draw
Model 73% · fair 1.38
1.25
No selection in this match currently clears our value checks (a clear edge over fair odds, with the model close to the bookmakers' consensus).
Value is model probability x odds - 1. See every match on the value bets board.
| Selection | Model | Fair | Best |
|---|---|---|---|
| Antwerp to winShort -11.4% | 48% | 2.09 | 1.85 |
| DrawShort -9.3% | 24% | 4.13 | 3.75 |
| Lommel United to winFair +1.6% | 27% | 3.64 | 3.70 |
| Selection | Model | Fair |
|---|
18+ only. ArtificialAcca shows probabilities, not guarantees: accumulators lose far more often than single bets, so never stake more than you can afford to lose. Free support is available at BeGambleAware.org.
| Best |
|---|
| Antwerp or drawShort -9.3% | 73% | 1.38 | 1.25 |
|---|---|---|---|
| Antwerp or Lommel United (no draw)Short -4.7% | 76% | 1.31 | 1.25 |
| Draw or Lommel UnitedShort -1.3% | 52% | 1.94 | 1.91 |
| Selection | Model | Fair | Best |
|---|---|---|---|
| Both teams to scoreShort -3.2% | 65% | 1.55 | 1.50 |
| Both teams not to scoreShort -11.3% | 35% | 2.82 | 2.50 |
| Selection | Model | Fair | Best |
|---|---|---|---|
| Over 1.5 goalsShort -2.4% | 83% | 1.20 | 1.17 |
| Under 1.5 goalsShort -17.0% | 17% | 6.03 | 5.00 |
| Over 2.5 goalsShort -3.3% | 63% | 1.58 | 1.53 |
| Under 2.5 goalsShort -9.8% | 37% | 2.72 | 2.45 |
| Over 3.5 goalsFair +1.9% | 42% | 2.40 | 2.45 |
| Under 3.5 goalsShort -8.3% | 58% | 1.71 | 1.57 |
Fair odds are 1 divided by the model probability. Best is the best price found at the last update and can move before kick-off.
