01 · 2 legs
Safe
- Rapid Wien to win71%
- Over 1.5 goals83%
Austrian Bundesliga17°5 km/h
Läs på svenskaErik Lindberg · · Written from the model's numbers · How the predictions work
TEXT: A 71% model probability for the hosts sets the stage, with Rapid Wien heavily favored against WSG Tirol. The expected goals reflect this, predicting 2.26 for the home side versus just 0.96 for the visitors. This disparity is mirrored in the likelihood of a 2-0 or 2-1 scoreline, each at 10%. Though a small sample, the head-to-head gives little hope to Tirol, having failed to defeat Rapid Wien in four meetings since 2022.
Rapid Wien's style of counter-attacking and crossing should exploit any gaps in Tirol's possession-focused approach. The visitors struggle defensively, conceding an average of 1.8 xGA per match, whereas the hosts maintain a more controlled back line with 1.2 xGA. This defensive solidity complements their robust home form, winning 59% of their matches in Vienna.
The over 2.5 goals line sits at 63%, suggesting a lively game. However, with both teams to score at 56%, there's uncertainty about Tirol's ability to break through. Given the model's clear preference, a home win presents value. The numbers lean towards a 2-0 victory for the hosts, with the over/under 2.5 goals market tilting slightly towards the over.
01 · 2 legs
02 · 3 legs
03 · 4 legs
| Bookmaker | 1 · Rapid Wien | X | 2 · WSG Tirol |
|---|---|---|---|
| Bet365 | 1.40 | 4.50 | 6.50 |
Odds updated 11 Sept, 16:11
1.40 → 1.40
4.50 → 4.50
6.50 → 6.50
Bet365 · 2 recorded price levels · 11/09/2026 → 11/09/2026 · fixed scale 5 percentage points
Head-to-head based on Austrian Bundesliga data since 2022.
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 | Rapid Wien | WSG Tirol |
|---|---|---|
| Points | 12 | 7 |
| xPoints | 9.2 | 7.9 |
| xG per match | 2.6 | 1.6 |
| xGA per match | 1.2 | 1.8 |
| xG within 8s of winning the ball | 0.92 | 0.46 |
| xGA within 8s of losing the ball | 0.13 | 0.29 |
| Playing style | Rapid Wien | WSG Tirol |
|---|---|---|
| Build-up efficiency | 0.33 | 0.27 |
| Field tilt | 0.65 | 0.34 |
| xT per match | 1.5 | 0.64 |
| xTA per match | 0.86 | 1.4 |
| Won balls, offensive half | 24 | 20 |
| Pressing intensity | 0.25 | 0.23 |
| Pressing efficiency | 0.3 | 0.3 |
| Pressing efficiency, offensive half | 0.25 | 0.23 |
| Entries into the box per match | 15 | 9 |
| Entries into the box against | 12 | 16 |
| Pass completion % | 0.84 | 0.75 |
| Pass completion % under pressure | 0.77 | 0.72 |
| Passes per match | 508 | 328 |
| Passes against per match | 360 | 408 |
| Switches of play per match | 27.4 | 17.1 |
| Long balls per match | 33 | 25 |
| Set pieces | Rapid Wien | WSG Tirol |
|---|---|---|
| xG from free kicks | 0.02 | 0.01 |
| Corners per match | 6 | 4.5 |
| Corners against per match | 3 | 6.5 |
| xG per corner | 0.02 | 0.04 |
| xGA per corner against | 0.03 | 0.02 |
| First touch, offensive corners % | 0.6 | 0.55 |
| First touch, defensive corners % | 0.6 | 0.75 |
| Other | Rapid Wien | WSG Tirol |
|---|---|---|
| Throw-in control | 0.71 | 0.7 |
| The goalkeepers | Niklas Hedl (Rapid Wien) | Salko Hamzic (WSG Tirol) |
|---|---|---|
| Saves | 20 | 22 |
| Save % | 74% | 79% |
| xG prevented | 48% | 58% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Rapid Wien a 71% win probability. Full 1X2 picture: Rapid Wien 71%, draw 17%, WSG Tirol 12%.
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.