J1 League ·
Gamba Osaka meet Cerezo Osaka in the J1 League. Our model gives Gamba Osaka a 44% chance of winning, the draw 26% and Cerezo Osaka 29%. Cerezo Osaka average 0.7 goals away; Gamba Osaka concede 1.6 at home. Season goal averages point to 2.0-1.1 (3.1 total). Gamba Osaka average 1.2 goals at home; Cerezo Osaka concede 2.7 away. Both teams to score is rated at 59% and over 2.5 goals at 57%. These are probabilities, not guarantees, and prices can move before kick-off.
Over 1.5 goals
Model 79% · fair 1.27
1.20
Gamba Osaka or Cerezo Osaka (no draw)
Model 74% · fair 1.34
1.30
Gamba Osaka or draw
Model 71% · fair 1.41
1.36
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 |
|---|---|---|---|
| Gamba Osaka to winFair +2.1% | 44% | 2.25 | 2.30 |
| DrawShort -10.5% | 26% | 3.91 | 3.50 |
| Cerezo Osaka to winShort -12.0% | 29% | 3.41 | 3.00 |
| 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 |
|---|
| Gamba Osaka or drawShort -3.3% | 71% | 1.41 | 1.36 |
|---|---|---|---|
| Gamba Osaka or Cerezo Osaka (no draw)Short -3.2% | 74% | 1.34 | 1.30 |
| Draw or Cerezo OsakaShort -10.7% | 55% | 1.81 | 1.62 |
| Selection | Model | Fair | Best |
|---|---|---|---|
| Both teams to scoreShort -7.4% | 59% | 1.70 | 1.57 |
| Both teams not to scoreShort -2.3% | 41% | 2.44 | 2.38 |
| Selection | Model | Fair | Best |
|---|---|---|---|
| Over 1.5 goalsShort -5.4% | 79% | 1.27 | 1.20 |
| Under 1.5 goalsShort -8.5% | 21% | 4.73 | 4.33 |
| Over 2.5 goalsShort -3.7% | 57% | 1.77 | 1.70 |
| Under 2.5 goalsShort -6.7% | 43% | 2.31 | 2.15 |
| Over 3.5 goalsFair +1.8% | 35% | 2.83 | 2.88 |
| Under 3.5 goalsShort -6.9% | 65% | 1.55 | 1.44 |
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.