01 · 2 legs
Safe
- Double chance Rot-Weiss Essen or draw (X2)64%
- Over 1.5 goals83%
3. Liga18°8,1 mm12 km/h
Läs på svenskaSofia Andersson · · The model's read on the match · How the predictions work
Four encounters since 2024 show a deadlock between Waldhof Mannheim and Rot-Weiss Essen, each taking two victories. This limited head-to-head sample suggests we should weigh recent form and expected goals more heavily. Both teams have demonstrated the ability to score against one another, hinting at a potentially balanced clash.
Turning to form, the visitors from Essen hold a slight edge. With 7 points compared to Mannheim's 4, and superior expected points (6.6 vs 5.8), Essen appears more consistent. Their possession-based style contrasts with Mannheim's counter-attacking approach, which might struggle under the predicted rain that favors teams less reliant on quick transitions.
Expected goals data further tilts the scales towards Rot-Weiss Essen. They lead slightly in xG per match at 1.5 compared to Mannheim’s 1.4 and boast a tighter defense with an xGA of 1.1, underscoring their ability to control matches. The model sees the visitors as having a 39% chance of winning, compared to Mannheim's 34%, with a draw at 27%. It's a narrow edge, but one that could prove decisive.
The betting angle lies in the value offered by a Rot-Weiss Essen victory. Priced by Bet365 at 2.50, this outcome aligns with the model's lean towards Essen. Given the anticipated conditions and the team's statistical advantages, an away win of 2-1 seems plausible. The over 2.5 goals market also holds interest, though the expected rain tempers the likelihood slightly despite the model's 61% over 2.5 goals prediction.
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 | Waldhof Mannheim | Rot-Weiss Essen |
|---|---|---|
| Points | 4 | 7 |
| xPoints | 5.8 | 6.6 |
| xG per match | 1.4 | 1.5 |
| xGA per match | 1.3 | 1.1 |
| xG within 8s of winning the ball | 0.2 | 0.28 |
| xGA within 8s of losing the ball | 0.18 | 0.02 |
| Playing style | Waldhof Mannheim | Rot-Weiss Essen |
|---|---|---|
| Build-up efficiency | 0.32 | 0.32 |
| Field tilt | 0.5 | 0.5 |
| xT per match | 1.3 | 1.2 |
| xTA per match | 0.93 | 0.83 |
| Won balls, offensive half | 23 | 28 |
| Pressing intensity | 0.2 | 0.22 |
| Pressing efficiency | 0.33 | 0.29 |
| Pressing efficiency, offensive half | 0.29 | 0.24 |
| Entries into the box per match | 15 | 14 |
| Entries into the box against | 12 | 8 |
| Pass completion % | 0.74 | 0.74 |
| Pass completion % under pressure | 0.68 | 0.67 |
| Passes per match | 322 | 306 |
| Passes against per match | 331 | 341 |
| Switches of play per match | 22.9 | 22 |
| Long balls per match | 33 | 42 |
| Set pieces | Waldhof Mannheim | Rot-Weiss Essen |
|---|---|---|
| xG from free kicks | 0.03 | 0.01 |
| Corners per match | 4 | 5.8 |
| Corners against per match | 4 | 4.5 |
| xG per corner | 0.02 | 0.03 |
| xGA per corner against | 0.04 | 0.03 |
| First touch, offensive corners % | 0.5 | 0.35 |
| First touch, defensive corners % | 0.62 | 0.78 |
| Other | Waldhof Mannheim | Rot-Weiss Essen |
|---|---|---|
| Throw-in control | 0.78 | 0.83 |
| The goalkeepers | Thijmen Joel Sander Nijhuis (Waldhof Mannheim) | Jakob Golz (Rot-Weiss Essen) |
|---|---|---|
| Saves | 7 | 12 |
| Save % | 64% | 71% |
| xG prevented | 73% | 35% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Rot-Weiss Essen a 39% win probability. Full 1X2 picture: Waldhof Mannheim 34%, draw 27%, Rot-Weiss Essen 39%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 61% and under at 39%.
The probability of both teams scoring is 63% 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.