VfL Bochum
VfL Wolfsburg
VfL Bochum – VfL Wolfsburg
What the model says
Probabilities computed by model v3-20261018-0954, Oct 22, 03:05 AM.
- Predicted result
- 2Away win
- Confidence
- 47 %
- Most likely score
- 1-29 % chance
- Expected goals (xG)
- 1.31 – 1.80
- Over 2.5 goals
- 60 %
- Both teams to score
- 61 %
The score shown is the most likely one among those matching the predicted result, not the rounded xG: with 1.83 – 1.24 expected goals and a home win predicted, that is 1-0. 1-1, the single most frequent score overall, only appears when a draw is predicted.
The short version
The model leans towards VfL Wolfsburg away from home (47 %). The most likely score among those producing that result is 1-2. It expects 1.31 goals for VfL Bochum and 1.80 for VfL Wolfsburg. Bookmakers say the same thing: 45 % on the same outcome. Over their last five matches, VfL Bochum took 4 points and VfL Wolfsburg 8 points. In recent meetings: 1 win for VfL Bochum, 1 draw, 3 wins for VfL Wolfsburg. Over 2.5 goals: 60 %. Both teams to score: 61 %.
What the market says
Average of one bookmaker, margin removed.
| Predicted result | Odds | Implied probability | Gap |
|---|---|---|---|
| 1VfL Bochum | 3.05 | 31 % | -19.1 % |
| XDraw | 3.80 | 25 % | +0.6 % |
| 2VfL Wolfsburg | 2.10 | 45 % | -1.2 % |
Model probability × odds − 1. Positive: the model gives this outcome a better chance than the odds do. A gap is not betting advice.
Form and statistics
VfL Bochum
- Last 5 matches
- At home
VfL Wolfsburg
- Last 5 matches
Head-to-head
- 1 win
- VfL Bochum
- 1 draw
- 3 wins
- VfL Wolfsburg
- VfL Wolfsburg1-1VfL Bochum
- VfL Bochum1-3VfL Wolfsburg
- VfL Wolfsburg1-0VfL Bochum
- VfL Bochum3-1VfL Wolfsburg
- VfL Bochum1-5VfL Wolfsburg
Frequently asked questions
Who will win VfL Bochum – VfL Wolfsburg?
Our model gives 2 · VfL Wolfsburg a 47 % probability. The three outcomes split as follows: VfL Bochum win 27 %, draw 26 %, VfL Wolfsburg win 47 %.
What is the most likely score for VfL Bochum – VfL Wolfsburg?
The most likely score is 1-2, at 9 %. It is the most frequent score among those that produce the result the model predicts.