01 · 2 legs
Safe
- Double chance VfB Stuttgart II or draw (1X)69%
- Over 1.5 goals84%
3. Liga15°19 km/h
Läs på svenskaSofia Andersson · · The model's read on the match · How the predictions work
TEXT: Two games between Stuttgart's reserves and Jahn Regensburg since 2024 provide scant evidence for enduring rivalries or patterns. Each side has claimed a win, leaving little to separate them historically. Despite Regensburg's slight edge in season expected points and xG per match, form tips the balance towards the home side. The visitors are reeling from a three-match losing streak, a worrying signal against the rising momentum of the Stuttgart reserves.
The model gives a 42% probability to a home win, underlining the hosts' recent strength. This is bolstered by Stuttgart's expected goals at 1.79, suggesting a capacity to threaten Regensburg's defense. Still, Regensburg's defensive frailties are mirrored by Stuttgart's, with both teams conceding over 1.9 xGA per match. Such vulnerabilities hint at an open game, with the likelihood of both teams finding the net at 64%.
While Stuttgart's play centers on controlling possession, Regensburg sits in a low defensive block and looks to counter directly. Given these contrasting styles, the hosts could dominate the ball, but Regensburg's counterattacking potential shouldn't be underestimated. The model gives a 63% probability for over 2.5 goals, aligning with both teams' defensive records and attacking needs.
The sharpest angle lies in the market discrepancy. Bet365 offers odds of 2.60 for a Stuttgart win, which rates as the value pick here. The numbers favor the hosts, and with Regensburg's form spiraling, a 2-1 home victory seems the most fitting outcome. Expect goals on both sides, but trust Stuttgart's control to edge out a win.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
Head-to-head based on 3. Liga data since 2024.
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 | VfB Stuttgart II | Jahn Regensburg |
|---|---|---|
| Points | 6 | 3 |
| xPoints | 2.3 | 3.7 |
| xG per match | 0.99 | 1.1 |
| xGA per match | 1.9 | 2.1 |
| xG within 8s of winning the ball | 0.13 | 0.16 |
| xGA within 8s of losing the ball | 0.12 | 0.14 |
| Playing style | VfB Stuttgart II | Jahn Regensburg |
|---|---|---|
| Build-up efficiency | 0.32 | 0.3 |
| Field tilt | 0.62 | 0.49 |
| xT per match | 1 | 1.2 |
| xTA per match | 0.67 | 1.1 |
| Won balls, offensive half | 21 | 23 |
| Pressing intensity | 0.22 | 0.22 |
| Pressing efficiency | 0.34 | 0.28 |
| Pressing efficiency, offensive half | 0.2 | 0.22 |
| Entries into the box per match | 12 | 12 |
| Entries into the box against | 10 | 16 |
| Pass completion % | 0.78 | 0.76 |
| Pass completion % under pressure | 0.71 | 0.71 |
| Passes per match | 373 | 342 |
| Passes against per match | 282 | 396 |
| Switches of play per match | 25 | 18.6 |
| Long balls per match | 33 | 28 |
| Set pieces | VfB Stuttgart II | Jahn Regensburg |
|---|---|---|
| xG from free kicks | 0.05 | 0.04 |
| Corners per match | 5.3 | 3.2 |
| Corners against per match | 6.1 | 5.2 |
| xG per corner | 0.02 | 0.02 |
| xGA per corner against | 0.04 | 0.07 |
| First touch, offensive corners % | 0.38 | 0.31 |
| First touch, defensive corners % | 0.67 | 0.4 |
| Other | VfB Stuttgart II | Jahn Regensburg |
|---|---|---|
| Throw-in control | 0.71 | 0.66 |
| The goalkeepers | Jerik von der Felsen (VfB Stuttgart II) | Hannes Steffen Hermann (Jahn Regensburg) |
|---|---|---|
| Saves | 11 | 12 |
| Save % | 65% | 55% |
| xG prevented | 41% | 34% |
| Claims | 0 (0%) | 0 (0%) |
The model gives VfB Stuttgart II a 42% win probability. Full 1X2 picture: VfB Stuttgart II 42%, draw 23%, Jahn Regensburg 35%.
The model's most likely final score is 1-1 at 10% probability.
The model rates over 2.5 goals at 63% and under at 37%.
The probability of both teams scoring is 64% 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.