01 · 2 legs
Safe
- Bochum to win52%
- Over 1.5 goals77%
2. BundesligaVonovia Ruhrstadion, Bochum19°0,2 mm13 km/h
Läs på svenskaOscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
TEXT:
Bochum enters this match with market backing as favorites at a 52% win probability, but the numbers suggest a more nuanced story. While the hosts have the edge in points and a perfect record in their two recent head-to-heads, the sample size is too small to be decisive. Instead, digging deeper into expected numbers reveals a different narrative: Fürth edges it with 1.6 xG per match compared to Bochum's 1.4, yet they also concede more, allowing 1.6 xGA to Bochum's 1.1. This contradiction in attacking promise and defensive vulnerability for Fürth adds layers to the market's oversimplified picture.
The model leans towards Bochum, favoring them for their possession-based control that typically stifles opponents. Yet, Fürth's counter-attacking style, enhanced by effective crosses, might exploit Bochum's need to dominate possession. Expected goals further complicate matters: Bochum has a slight edge at 1.71 versus Fürth's 1.08, but the 1-1 scoreline as the most likely outcome (12%) hints at defensive frailties for both.
With a 53% chance of over 2.5 goals and a 55% probability for both teams to score, the game leans towards an open encounter. Bochum's defensive stability doesn't fully eclipse their opponents' adventurous attacking play, suggesting goals on both ends. Despite these indicators, Bochum's 1-0 and 2-1 scorelines, each at 10%, align with their tactical approach and market position.
For bettors pinpointing value, Fürth's 22% win probability implied by the model may be worth exploring as an away win option. Considering Fürth's superior xG and the volatility of their counter-attacking dynamic, this presents an intriguing opportunity. While not a certainty, the potential for disruption is significant, especially if Bochum fails to convert possession into goals.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Bochum | X | 2 · Greuther Fürth |
|---|---|---|---|
| Pinnacle | EV+ 2% 1.96 | 3.87 | 3.68 |
Odds updated 11 Sept, 12:24
1.87 → 1.96
3.87 → 3.87
3.87 → 3.68
Pinnacle · 9 recorded price levels · 06/09/2026 → 11/09/2026 · fixed scale 5 percentage points
Head-to-head based on 2. Bundesliga data since 2023.
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 | Bochum | Greuther Fürth |
|---|---|---|
| Points | 6 | 4 |
| xPoints | 5.7 | 6.3 |
| xG per match | 1.4 | 1.6 |
| xGA per match | 1.1 | 1.6 |
| xG within 8s of winning the ball | 0.23 | 0.27 |
| xGA within 8s of losing the ball | 0.18 | 0.18 |
| Playing style | Bochum | Greuther Fürth |
|---|---|---|
| Build-up efficiency | 0.32 | 0.32 |
| Field tilt | 0.54 | 0.42 |
| xT per match | 0.98 | 0.79 |
| xTA per match | 0.5 | 1.4 |
| Won balls, offensive half | 31 | 21 |
| Pressing intensity | 0.23 | 0.24 |
| Pressing efficiency | 0.33 | 0.27 |
| Pressing efficiency, offensive half | 0.32 | 0.24 |
| Entries into the box per match | 11 | 11 |
| Entries into the box against | 10 | 15 |
| Pass completion % | 0.75 | 0.77 |
| Pass completion % under pressure | 0.69 | 0.73 |
| Passes per match | 411 | 348 |
| Passes against per match | 333 | 353 |
| Switches of play per match | 29 | 28.9 |
| Long balls per match | 40 | 35 |
| Set pieces | Bochum | Greuther Fürth |
|---|---|---|
| xG from free kicks | 0.01 | 0.03 |
| Corners per match | 5.3 | 4.9 |
| Corners against per match | 4 | 5.9 |
| xG per corner | 0.06 | 0.01 |
| xGA per corner against | 0.12 | 0.05 |
| First touch, offensive corners % | 0.24 | 0.35 |
| First touch, defensive corners % | 0.81 | 0.46 |
| Other | Bochum | Greuther Fürth |
|---|---|---|
| Throw-in control | 0.73 | 0.68 |
| The goalkeepers | Timo Phil Horn (Bochum) | Florian Pascal Hellstern (Greuther Fürth) |
|---|---|---|
| Saves | 9 | 18 |
| Save % | 75% | 67% |
| xG prevented | 81% | 61% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Bochum a 52% win probability. Full 1X2 picture: Bochum 52%, draw 26%, Greuther Fürth 22%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 53% and under at 47%.
The probability of both teams scoring is 55% 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.