Serie B ·
Vicenza Virtus meet Cremonese in the Serie B. Our model gives Vicenza Virtus a 31% chance of winning, the draw 29% and Cremonese 40%. Vicenza Virtus average 1.3 goals at home; Cremonese concede 1.2 away. Season goal averages point to 1.3-1.5 (2.8 total). Cremonese average 1.0 goals away; Vicenza Virtus concede 2.0 at home. Both teams to score is rated at 55% and over 2.5 goals at 49%. These are probabilities, not guarantees, and prices can move before kick-off.
Over 1.5 goals
Model 74% · fair 1.36
1.29
Under 3.5 goals
Model 72% · fair 1.39
1.30
Vicenza Virtus or Cremonese (no draw)
Model 72% · fair 1.39
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 |
|---|---|---|---|
| Vicenza Virtus to winShort -11.4% | 31% | 3.25 | 2.88 |
| DrawShort -5.5% | 29% | 3.44 | 3.25 |
| Cremonese to winShort -1.5% | 40% | 2.49 | 2.45 |
| 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 |
|---|
| Vicenza Virtus or drawShort -8.6% | 60% | 1.67 | 1.53 |
|---|---|---|---|
| Vicenza Virtus or Cremonese (no draw)Short -2.1% | 72% | 1.39 | 1.36 |
| Draw or CremoneseShort -4.5% | 68% | 1.47 | 1.40 |
| Selection | Model | Fair | Best |
|---|---|---|---|
| Both teams to scoreShort -3.7% | 55% | 1.82 | 1.75 |
| Both teams not to scoreShort -5.5% | 45% | 2.22 | 2.10 |
| Selection | Model | Fair | Best |
|---|---|---|---|
| Over 1.5 goalsShort -4.9% | 74% | 1.36 | 1.29 |
| Under 1.5 goalsShort -7.9% | 26% | 3.80 | 3.50 |
| Over 2.5 goalsShort -2.6% | 49% | 2.05 | 2.00 |
| Under 2.5 goalsShort -7.6% | 51% | 1.95 | 1.80 |
| Over 3.5 goalsShort -4.0% | 28% | 3.54 | 3.40 |
| Under 3.5 goalsShort -6.7% | 72% | 1.39 | 1.30 |
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.