01 · 2 legs
Safe
- Wolfsburg to win51%
- Over 1.5 goals79%
2. BundesligaVolkswagen Arena, Wolfsburg15°2,4 mm12 km/h
Läs på svenskaSofia Andersson · · The model's read on the match · How the predictions work
A stark contrast in expected goals highlights the disparity between Wolfsburg and Darmstadt. With the hosts averaging an impressive 2.3 xG per match compared to the visitors' 0.65, Wolfsburg's attacking prowess is evident. Darmstadt's recent form amplifies this gap, as they come off three consecutive losses, struggling not only in points but also in underlying metrics. Wolfsburg's 1.71 expected goals against Darmstadt's 1.20 suggests a match where the home side should dominate possession and chances.
While the model gives Wolfsburg a 51% chance of winning, the most likely scorelines, including a 1-1 prediction at 11%, introduce some tension. The 2-1 scoreline at 10% aligns more closely with the expected goals, supporting a lean towards a narrow victory for the hosts. Darmstadt's direct style and low defensive block could pose sporadic threats, but with only 0.65 xG per match, goals are likely to be at a premium for the visitors.
The over 2.5 goals at 56% reflects a slightly more goal-rich expectation, yet the sharper angle is Wolfsburg's victory. This assessment is based on the substantial discrepancy in xG and recent performances.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Wolfsburg | X | 2 · Darmstadt |
|---|---|---|---|
| Betsafe | 1.55 | EV+ 10% 4.15 | EV+ 10% 4.90 |
| Betsson | 1.55 | EV+ 10% 4.15 | EV+ 10% 4.90 |
| Nordicbet | 1.55 | EV+ 10% 4.15 | EV+ 10% 4.90 |
Odds updated 11 Sept, 16:39
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 | Darmstadt |
|---|---|---|
| Points | 8 | 1 |
| xPoints | 7 | 2.9 |
| xG per match | 2.3 | 0.65 |
| xGA per match | 1.4 | 2.1 |
| xG within 8s of winning the ball | 0.39 | 0.14 |
| xGA within 8s of losing the ball | 0.18 | 0.49 |
| Playing style | Wolfsburg | Darmstadt |
|---|---|---|
| Build-up efficiency | 0.31 | 0.32 |
| Field tilt | 0.55 | 0.3 |
| xT per match | 1.4 | 0.59 |
| xTA per match | 0.92 | 1.6 |
| Won balls, offensive half | 26 | 27 |
| Pressing intensity | 0.25 | 0.26 |
| Pressing efficiency | 0.3 | 0.24 |
| Pressing efficiency, offensive half | 0.27 | 0.16 |
| Entries into the box per match | 15 | 9 |
| Entries into the box against | 13 | 24 |
| Pass completion % | 0.78 | 0.75 |
| Pass completion % under pressure | 0.73 | 0.72 |
| Passes per match | 395 | 321 |
| Passes against per match | 310 | 497 |
| Switches of play per match | 21.2 | 18.5 |
| Long balls per match | 36 | 25 |
| Set pieces | Wolfsburg | Darmstadt |
|---|---|---|
| xG from free kicks | 0.08 | 0.08 |
| Corners per match | 6.8 | 4.6 |
| Corners against per match | 7 | 7.9 |
| xG per corner | 0.05 | 0.03 |
| xGA per corner against | 0.01 | 0 |
| First touch, offensive corners % | 0.38 | 0.5 |
| First touch, defensive corners % | 0.41 | 0.47 |
| Other | Wolfsburg | Darmstadt |
|---|---|---|
| Throw-in control | 0.75 | 0.72 |
| The goalkeepers | Jakub Zieliński (Wolfsburg) | Marcel Schuhen (Darmstadt) |
|---|---|---|
| Saves | 14 | 19 |
| Save % | 70% | 73% |
| xG prevented | 45% | 43% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Wolfsburg a 51% win probability. Full 1X2 picture: Wolfsburg 51%, draw 26%, Darmstadt 22%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 56% and under at 44%.
The probability of both teams scoring is 58% according to the model.
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.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.