01 · 2 legs
Safe
- Wolfsburg to win61%
- Over 1.5 goals88%
2. BundesligaVolkswagen Arena, Wolfsburg7°14 km/h
Läs på svenskaBetBuilders AI model prediction for Wolfsburg vs Osnabrück (2. Bundesliga, Saturday, 31 October 2026): Wolfsburg win 61%, draw 21%, Osnabrück win 19%. Expected goals (xG): Wolfsburg 2.35, Osnabrück 1.32. Most likely score: 2-1 (9%). Over 2.5 goals 71%, both teams to score 67%. Double chance: Wolfsburg or draw 81%, Osnabrück or draw 39%. Prediction updated Friday, 23 October 2026.
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Marcus Johansson · · Analysis from the match model · How the predictions work
TEXT: Wolfsburg enters this match with a clear statistical advantage, sitting at 61% win probability and boasting a stronger points tally of 15 compared to Osnabrück's 8. The model suggests a 2-1 scoreline as most likely, reflecting Wolfsburg's superior expected goals (xG) of 2.35 against Osnabrück's 1.32. These numbers illustrate Wolfsburg's edge in offensive production, which should prove decisive given both teams share a similar possession-based style.
However, the xPoints tell a subtler story, with Wolfsburg at 12.6 and Osnabrück at 10.8. While Wolfsburg edges ahead, the gap is narrower than the points suggest. Their similar tactical approach could lead to a tightly contested battle for midfield control, potentially nullifying some of Wolfsburg's attacking advantage. Still, expected goals against (xGA) favors the hosts, indicating a firmer defensive setup that could stifle Osnabrück's forward efforts.
Goals seem likely to flow, with a 71% probability for over 2.5 goals and 67% for both teams scoring. This aligns with Wolfsburg's higher xG per match of 2.0 compared to Osnabrück's 1.4. Wolfsburg's xGA of 1.5 is actually better than Osnabrück's 1.8, underlining their firmer defense, though Osnabrück's attacking output still means a goal for the visitors isn't out of the question. This interplay between offensive strength and solid defense suggests an open game, albeit one where Wolfsburg's quality should prevail.
Given this setup, the lean towards Wolfsburg winning is supported by both form and statistical output. A 2-1 victory for Wolfsburg sits well with the numbers, offering a reasonable outcome that aligns with the model's assessment. As the match unfolds, expect Wolfsburg to exploit their offensive edge, likely tipping the scales in their favor.
01 · 2 legs
02 · 3 legs
03 · 4 legs
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Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | Wolfsburg | Osnabrück |
|---|---|---|
| Points | 15 | 8 |
| xPoints | 12.6 | 10.8 |
| xG per match | 2 | 1.4 |
| xGA per match | 1.5 | 1.8 |
| xG within 8s of winning the ball | 0.28 | 0.14 |
| xGA within 8s of losing the ball | 0.21 | 0.34 |
| Playing style | Wolfsburg | Osnabrück |
|---|---|---|
| Build-up efficiency | 0.31 | 0.31 |
| Field tilt | 0.57 | 0.4 |
| xT per match | 1.4 | 0.81 |
| xTA per match | 0.99 | 1.2 |
| Won balls, offensive half | 23 | 25 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.31 | 0.27 |
| Pressing efficiency, offensive half | 0.27 | 0.2 |
| Entries into the box per match | 15 | 11 |
| Entries into the box against | 13 | 15 |
| Pass completion % | 0.79 | 0.71 |
| Pass completion % under pressure | 0.74 | 0.64 |
| Passes per match | 410 | 319 |
| Passes against per match | 300 | 464 |
| Switches of play per match | 21.4 | 12 |
| Long balls per match | 34 | 28 |
| Set pieces | Wolfsburg | Osnabrück |
|---|---|---|
| xG from free kicks | 0.04 | 0.03 |
| Corners per match | 6.6 | 3 |
| Corners against per match | 7.1 | 7 |
| xG per corner | 0.04 | 0.1 |
| xGA per corner against | 0.04 | 0.03 |
| First touch, offensive corners % | 0.37 | 0.46 |
| First touch, defensive corners % | 0.49 | 0.57 |
| Other | Wolfsburg | Osnabrück |
|---|---|---|
| Throw-in control | 0.76 | 0.73 |
| The goalkeepers | Jakub Zieliński (Wolfsburg) | Jonas Krumrey (Osnabrück) |
|---|---|---|
| Saves | 23 | 26 |
| Save % | 66% | 63% |
| xG prevented | 49% | 40% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Wolfsburg a 61% win probability. Full 1X2 picture: Wolfsburg 61%, draw 21%, Osnabrück 19%.
The model's most likely final score is 2-1 at 9% probability.
The model rates over 2.5 goals at 71% and under at 29%.
The probability of both teams scoring is 67% according to the model.
The model expects 2.35 goals (xG) for Wolfsburg and 1.32 for Osnabrück, 3.67 in total.
Wolfsburg or draw (1X) 81%, Osnabrück or draw (X2) 39% and no draw (12) 79%.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.

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Hämta bonusPredictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.