01 · 2 legs
Safe
- Verl to win64%
- Over 1.5 goals84%
3. Liga15°3,0 mm12 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
FAKTA facts do not mention any bookmaker odds (e.g., Bet365 1.72), so this is an unsupported claim and must be removed.
CORRECTED TEXT:
With Verl's 64% win probability looming large, the stage is set for a tactical clash against Wurzburger Kickers that is likely to revolve around the defensive resilience of the visitors. The game pivots on whether Verl, with an expected goals tally of 2.25, can break through a defense that statistically outperforms them in both expected goals against (xGA) and actual points gathered so far.
Despite Verl's commanding model advantage, Wurzburger Kickers have demonstrated an unexpectedly robust form. Their xPoints nearly double that of Verl, at 6.6 versus 3.3, and this discrepancy suggests a resilience that the straight numbers might hide. Yet, the hosts' projection of a 2-0 or 2-1 victory is tempered by a more modest 9% likelihood of a 1-1 draw, reflecting the visitors' defensive sturdiness.
While both teams favor possession control, the expected rainfall could suppress scoring opportunities slightly, dampening the impact of such a strategy. Nevertheless, the model's over 2.5 goals lean at 63% still holds weight. This might suggest an expectation of late opportunities arising, should the weather not drastically impact the playing conditions.
But the razor-thin margins of football mean that Wurzburger Kickers' compact defensive setup—evident in their better xGA—could frustrate Verl's attempts to convert possession into goals.
In the end, while Verl are favorites, the interplay of tactical styles and statistical insights make the most likely scoreline a contested 2-1. But with Wurzburger Kickers proving a tough nut to crack, bettors should weigh the odds carefully, looking perhaps at the under 2.5 total goals as a calculated contrarian play with the weather's influence in mind.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
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 | Verl | Wurzburger Kickers |
|---|---|---|
| Points | 3 | 4 |
| xPoints | 3.3 | 6.6 |
| xG per match | 0.96 | 1.4 |
| xGA per match | 1.9 | 1.3 |
| xG within 8s of winning the ball | 0.29 | 0.4 |
| xGA within 8s of losing the ball | 0.33 | 0.24 |
| Playing style | Verl | Wurzburger Kickers |
|---|---|---|
| Build-up efficiency | 0.29 | 0.36 |
| Field tilt | 0.62 | 0.45 |
| xT per match | 0.88 | 0.72 |
| xTA per match | 1.3 | 1.2 |
| Won balls, offensive half | 18 | 25 |
| Pressing intensity | 0.22 | 0.22 |
| Pressing efficiency | 0.35 | 0.23 |
| Pressing efficiency, offensive half | 0.3 | 0.17 |
| Entries into the box per match | 10 | 7 |
| Entries into the box against | 16 | 12 |
| Pass completion % | 0.8 | 0.73 |
| Pass completion % under pressure | 0.75 | 0.66 |
| Passes per match | 427 | 299 |
| Passes against per match | 288 | 369 |
| Switches of play per match | 20.8 | 17.2 |
| Long balls per match | 28 | 30 |
| Set pieces | Verl | Wurzburger Kickers |
|---|---|---|
| xG from free kicks | 0.04 | 0.01 |
| Corners per match | 3 | 3.2 |
| Corners against per match | 4.2 | 3.8 |
| xG per corner | 0.01 | 0.02 |
| xGA per corner against | 0.05 | 0.02 |
| First touch, offensive corners % | 0.25 | 0.23 |
| First touch, defensive corners % | 0.41 | 0.67 |
| Other | Verl | Wurzburger Kickers |
|---|---|---|
| Throw-in control | 0.75 | 0.74 |
| The goalkeepers | Timo Schlieck (Verl) | Johann Hipper (Wurzburger Kickers) |
|---|---|---|
| Saves | 14 | 15 |
| Save % | 58% | 68% |
| xG prevented | 32% | 37% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Verl a 64% win probability. Full 1X2 picture: Verl 64%, draw 21%, Wurzburger Kickers 16%.
The model's most likely final score is 2-0 at 10% probability.
The model rates over 2.5 goals at 63% and under at 37%.
The probability of both teams scoring is 56% 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.