Jupiler Pro League ·
OH Leuven meet KV Mechelen in the Jupiler Pro League. Our model gives OH Leuven a 41% chance of winning, the draw 26% and KV Mechelen 33%. KV Mechelen average 1.0 goals away; OH Leuven concede 1.6 at home. Season goal averages point to 1.3-1.3 (2.6 total). OH Leuven average 1.2 goals at home; KV Mechelen concede 1.4 away. Both teams to score is rated at 56% and over 2.5 goals at 52%. These are probabilities, not guarantees, and prices can move before kick-off.
Over 1.5 goals
Model 76% · fair 1.32
1.25
OH Leuven or KV Mechelen (no draw)
Model 73% · fair 1.37
1.30
Under 3.5 goals
Model 69% · fair 1.44
1.40
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 |
|---|---|---|---|
| OH Leuven to winShort -8.4% | 41% | 2.46 | 2.25 |
| DrawShort -10.0% | 26% | 3.78 | 3.40 |
| KV Mechelen to winShort -5.5% | 33% | 3.05 | 2.88 |
| 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 |
|---|
| OH Leuven or drawShort -6.9% | 67% | 1.50 | 1.40 |
|---|---|---|---|
| OH Leuven or KV Mechelen (no draw)Short -4.9% | 73% | 1.37 | 1.30 |
| Draw or KV MechelenShort -3.4% | 60% | 1.66 | 1.60 |
| Selection | Model | Fair | Best |
|---|---|---|---|
| Both teams to scoreShort -6.2% | 56% | 1.78 | 1.67 |
| Both teams not to scoreShort -1.4% | 44% | 2.28 | 2.25 |
| Selection | Model | Fair | Best |
|---|---|---|---|
| Over 1.5 goalsShort -5.6% | 76% | 1.32 | 1.25 |
| Under 1.5 goalsFair +0.4% | 24% | 4.08 | 4.10 |
| Over 2.5 goalsShort -6.6% | 52% | 1.93 | 1.80 |
| Under 2.5 goalsShort -1.4% | 48% | 2.08 | 2.05 |
| Over 3.5 goalsShort -8.1% | 31% | 3.26 | 3.00 |
| Under 3.5 goalsShort -2.9% | 69% | 1.44 | 1.40 |
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.