Bundesliga ·
RB Leipzig meet FC Augsburg in the Bundesliga. Our model gives RB Leipzig a 68% chance of winning, the draw 17% and FC Augsburg 15%. FC Augsburg average 3.0 goals away; RB Leipzig concede 0.0 at home. Season goal averages point to 3.6-1.5 (5.1 total). RB Leipzig average 4.5 goals at home; FC Augsburg concede 2.7 away. Both teams to score is rated at 70% and over 2.5 goals at 78%. These are probabilities, not guarantees, and prices can move before kick-off.
Over 1.5 goals
Model 91% · fair 1.10
1.07
RB Leipzig or draw
Model 84% · fair 1.19
1.15
RB Leipzig or FC Augsburg (no draw)
Model 83% · fair 1.20
1.17
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 |
|---|---|---|---|
| RB Leipzig to winShort -0.4% | 68% | 1.48 | 1.47 |
| DrawShort -17.3% | 17% | 6.04 | 5.00 |
| FC Augsburg to winShort -8.3% | 15% | 6.54 | 6.00 |
| 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 |
|---|
| RB Leipzig or drawShort -3.0% | 84% | 1.19 | 1.15 |
|---|---|---|---|
| RB Leipzig or FC Augsburg (no draw)Short -2.6% | 83% | 1.20 | 1.17 |
| Draw or FC AugsburgShort -13.5% | 33% | 3.04 | 2.63 |
| Selection | Model | Fair | Best |
|---|---|---|---|
| Both teams to scoreShort -2.1% | 70% | 1.43 | 1.40 |
| Both teams not to scoreShort -6.7% | 30% | 3.32 | 3.10 |
| Selection | Model | Fair | Best |
|---|---|---|---|
| Over 1.5 goalsShort -3.1% | 91% | 1.10 | 1.07 |
| Under 1.5 goalsShort -14.8% | 9% | 10.57 | 9.00 |
| Over 2.5 goalsShort -0.5% | 78% | 1.29 | 1.28 |
| Under 2.5 goalsShort -8.8% | 22% | 4.50 | 4.10 |
| Over 3.5 goalsShort -0.3% | 60% | 1.67 | 1.67 |
| Under 3.5 goalsShort -11.4% | 40% | 2.48 | 2.20 |
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.