01 · 2 legs
Safe
- Saarbrücken to win52%
- Over 1.5 goals85%
3. Liga15°22 km/h
Läs på svenskaOscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
The numbers suggest a 2-1 win for the home side is within reach, which aligns with the predicted probabilities and expected goal metrics.
Grossaspach, however, should not be underestimated in their ability to surprise. While their counter-attacking style might see them concede possession, it could also exploit gaps left by Saarbrücken's advanced positioning. Their expected goals per match (1.8) is competitive, hinting they might disrupt Saarbrücken’s defense more than expected. Nevertheless, their slightly higher expected goals against (1.8) compared to Saarbrücken’s (1.6) highlights vulnerabilities that the hosts could exploit.
The most probable scoreline of 1-1 (10%) suggests that Grossaspach could well find the back of the net, supported by a 64% chance of both teams scoring. Still, with Saarbrücken's superior xG (2.2) and overall points and xPoints advantage, the home side seems poised to edge out the visitors. Grossaspach’s style may create moments of uncertainty, but the analytical edge remains with Saarbrücken.
Bettors might find value in the over 2.5 goals market, especially given the 65% likelihood in the model. While the match might flirt with a stalemate, the hosts’ offensive consistency and Grossaspach's potential for counter-punching make a case for goals. Ultimately, Saarbrücken’s edge in form and expected metrics suggests a narrow victory is the likeliest outcome.
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 | Saarbrücken | Grossaspach |
|---|---|---|
| Points | 9 | 6 |
| xPoints | 7.1 | 5.9 |
| xG per match | 2.2 | 1.8 |
| xGA per match | 1.6 | 1.8 |
| xG within 8s of winning the ball | 0.29 | 0.27 |
| xGA within 8s of losing the ball | 0.11 | 0.21 |
| Playing style | Saarbrücken | Grossaspach |
|---|---|---|
| Build-up efficiency | 0.32 | 0.33 |
| Field tilt | 0.59 | 0.65 |
| xT per match | 1.2 | 1.6 |
| xTA per match | 1.1 | 1.2 |
| Won balls, offensive half | 16 | 27 |
| Pressing intensity | 0.21 | 0.24 |
| Pressing efficiency | 0.27 | 0.36 |
| Pressing efficiency, offensive half | 0.21 | 0.32 |
| Entries into the box per match | 14 | 22 |
| Entries into the box against | 14 | 14 |
| Pass completion % | 0.77 | 0.73 |
| Pass completion % under pressure | 0.72 | 0.68 |
| Passes per match | 338 | 375 |
| Passes against per match | 325 | 286 |
| Switches of play per match | 33 | 22.4 |
| Long balls per match | 40 | 35 |
| Set pieces | Saarbrücken | Grossaspach |
|---|---|---|
| xG from free kicks | 0.15 | 0.03 |
| Corners per match | 6.2 | 6.5 |
| Corners against per match | 5 | 5.5 |
| xG per corner | 0.05 | 0.04 |
| xGA per corner against | 0.04 | 0.04 |
| First touch, offensive corners % | 0.42 | 0.42 |
| First touch, defensive corners % | 0.55 | 0.68 |
| Other | Saarbrücken | Grossaspach |
|---|---|---|
| Throw-in control | 0.75 | 0.73 |
| The goalkeepers | Matteo Bignetti (Saarbrücken) | Maximilian Reule (Grossaspach) |
|---|---|---|
| Saves | 15 | 16 |
| Save % | 68% | 84% |
| xG prevented | 38% | 86% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Saarbrücken a 52% win probability. Full 1X2 picture: Saarbrücken 52%, draw 24%, Grossaspach 24%.
The model's most likely final score is 1-1 at 10% probability.
The model rates over 2.5 goals at 65% and under at 35%.
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.