01 · 2 legs
Safe
- Stuttgart to win45%
- Over 1.5 goals82%
BundesligaMHPArena, Stuttgart15°19 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
TEXT:
VfB Stuttgart's low defence meets Borussia Dortmund's high press in Saturday's Bundesliga clash, creating a compelling tactical tension. Stuttgart's strategy of low defence and direct play will be tested against Dortmund's possession-heavy, aggressive pressing style. The home side, with a record of scoring in their last eight matches, will look to exploit any gaps left by Dortmund's forward-driven approach. Meanwhile, the visitors, buoyed by four consecutive wins, aim to impose their dominance on the ball.
Model probabilities give Stuttgart a 45% chance of victory, suggesting the hosts hold a slight edge, despite Dortmund's superior xPoint tally of 3.7 to Stuttgart's 1.4. The expected goals lean towards Stuttgart at 1.66 over Dortmund's 1.42, hinting at a closely contested battle. However, the historical head-to-head is sparse, with only four meetings since 2022, and Stuttgart having a slight advantage of two wins to Dortmund's one, with one draw. This limited sample should be considered cautiously.
The likelihood of over 2.5 goals sits at 60%, while both teams to score is priced at 62%, especially with Stuttgart's consistent scoring streak. However, the hosts' defensive vulnerabilities are stark, conceding an average of 2.9 xGA per match compared to Dortmund's 1.0. Stuttgart's historical home win rate of 57% from 35 matches suggests resilience, yet Dortmund's current form and their efficient pressing game could disrupt their rhythm.
With a predicted scoreline leaning towards a 1-1 draw (11%) or Stuttgart edging it 2-1 (9%), the match's dynamics could tilt either way. Yet, the sharp betting angle might rest on Stuttgart's slight edge and direct playing style, especially if they capitalize on defensive lapses by Dortmund.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Stuttgart | X | 2 · Borussia Dortmund |
|---|---|---|---|
| Betsafe | EV+ 2% 2.25 | 3.80 | 2.78 |
| Betsson | EV+ 2% 2.25 | 3.85 | 2.78 |
| Nordicbet | EV+ 2% 2.25 | 3.80 | 2.78 |
| Pinnacle | EV+ 4% 2.29 | 3.69 | 2.91 |
Odds updated 11 Sept, 16:15
2.28 → 2.29
3.68 → 3.69
2.90 → 2.91
Pinnacle · 2 recorded price levels · 11/09/2026 → 11/09/2026 · fixed scale 5 percentage points
Head-to-head based on Bundesliga data since 2022.
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 | Stuttgart | Borussia Dortmund |
|---|---|---|
| Points | 3 | 6 |
| xPoints | 1.4 | 3.7 |
| xG per match | 1.6 | 1.9 |
| xGA per match | 2.9 | 1 |
| xG within 8s of winning the ball | 0.18 | 1 |
| xGA within 8s of losing the ball | 0.35 | 0.3 |
| Playing style | Stuttgart | Borussia Dortmund |
|---|---|---|
| Build-up efficiency | 0.31 | 0.31 |
| Field tilt | 0.54 | 0.44 |
| xT per match | 1.2 | 1.4 |
| xTA per match | 1.3 | 0.95 |
| Won balls, offensive half | 26 | 27 |
| Pressing intensity | 0.26 | 0.26 |
| Pressing efficiency | 0.26 | 0.31 |
| Pressing efficiency, offensive half | 0.23 | 0.31 |
| Entries into the box per match | 16 | 14 |
| Entries into the box against | 15 | 15 |
| Pass completion % | 0.77 | 0.77 |
| Pass completion % under pressure | 0.72 | 0.75 |
| Passes per match | 379 | 366 |
| Passes against per match | 387 | 377 |
| Switches of play per match | 23.8 | 17.3 |
| Long balls per match | 28 | 26 |
| Set pieces | Stuttgart | Borussia Dortmund |
|---|---|---|
| xG from free kicks | 0.02 | 0.05 |
| Corners per match | 6.6 | 3 |
| Corners against per match | 8.6 | 5.4 |
| xG per corner | 0.05 | 0.02 |
| xGA per corner against | 0.06 | 0.01 |
| First touch, offensive corners % | 0.38 | 0.33 |
| First touch, defensive corners % | 0.71 | 0.73 |
| Other | Stuttgart | Borussia Dortmund |
|---|---|---|
| Throw-in control | 0.77 | 0.64 |
| The goalkeepers | Fabian Bredlow (Stuttgart) | Gregor Kobel (Borussia Dortmund) |
|---|---|---|
| Saves | 8 | 7 |
| Save % | 62% | 78% |
| xG prevented | 40% | 75% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Stuttgart a 45% win probability. Full 1X2 picture: Stuttgart 45%, draw 24%, Borussia Dortmund 30%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 60% and under at 40%.
The probability of both teams scoring is 62% 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.