01 · 2 legs
Safe
- Ried to win54%
- Over 1.5 goals77%
Austrian Bundesliga16°18 km/h
Läs på svenskaMarcus Johansson · · Analysis from the match model · How the predictions work
TEXT:
SV Ried's possession-centric approach shapes their home advantage and is central to understanding their matchup against Wolfsberg. The hosts have consistently outperformed the visitors in terms of expected goals (1.7 to 0.89) and expected points (6.9 to 5.5), indicating a trend towards dominance not fully reflected in the league table. While Wolfsberg has a slight points lead, Ried’s underlying metrics suggest they are the stronger side.
In their last five encounters, Ried has emerged victorious three times, with the visitors claiming just one win. Although this head-to-head sample is small, it highlights a pattern: Ried's ability to control games has been a thorn in Wolfsberg's side. The clash of styles is stark: Ried's possession play against Wolfsberg's low-block defense and direct counterattacks.
The model's probabilities favor Ried at 54%, with an expected goals tally of 1.77 compared to Wolfsberg's 1.02. This suggests a likely home win, reinforced by Ried's ability to exploit gaps in a Wolfsberg defense that concedes 1.9 xGA per match. Despite Wolfsberg's defensive posture, Ried's strategic control seems poised to crack it.
While the most likely scorelines are 1-1 and 1-0, with 11% each, Ried's attacking prowess hints at a probable 2-1 victory. The lean towards over 2.5 goals at 53% aligns with their capabilities, even if the margin is slim. Both teams to score also stands at 53%, indicating potential vulnerability on both ends.
Where the sharpest edge lies is in highlighting Ried's dominance at home. This matchup leans towards a Ried victory, with an eye on a 2-1 scoreline, in light of their superior xG metrics and head-to-head success.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Ried | X | 2 · Wolfsberg |
|---|---|---|---|
| Bet365 | EV+ 20% 2.20 | 3.50 | 2.88 |
Odds updated 11 Sept, 05:04
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 | Ried | Wolfsberg |
|---|---|---|
| Points | 4 | 5 |
| xPoints | 6.9 | 5.5 |
| xG per match | 1.7 | 0.89 |
| xGA per match | 1.5 | 1.9 |
| xG within 8s of winning the ball | 0.29 | 0.2 |
| xGA within 8s of losing the ball | 0.34 | 0.4 |
| Playing style | Ried | Wolfsberg |
|---|---|---|
| Build-up efficiency | 0.29 | 0.33 |
| Field tilt | 0.6 | 0.28 |
| xT per match | 1.1 | 0.55 |
| xTA per match | 0.93 | 1.5 |
| Won balls, offensive half | 29 | 23 |
| Pressing intensity | 0.22 | 0.24 |
| Pressing efficiency | 0.26 | 0.3 |
| Pressing efficiency, offensive half | 0.22 | 0.25 |
| Entries into the box per match | 14 | 7 |
| Entries into the box against | 11 | 17 |
| Pass completion % | 0.76 | 0.66 |
| Pass completion % under pressure | 0.69 | 0.61 |
| Passes per match | 349 | 230 |
| Passes against per match | 324 | 391 |
| Switches of play per match | 22.3 | 20.7 |
| Long balls per match | 32 | 31 |
| Set pieces | Ried | Wolfsberg |
|---|---|---|
| xG from free kicks | 0.11 | 0.02 |
| Corners per match | 4.5 | 3.5 |
| Corners against per match | 4.1 | 8.3 |
| xG per corner | 0.03 | 0.01 |
| xGA per corner against | 0.02 | 0.05 |
| First touch, offensive corners % | 0.43 | 0.28 |
| First touch, defensive corners % | 0.52 | 0.45 |
| Other | Ried | Wolfsberg |
|---|---|---|
| Throw-in control | 0.7 | 0.65 |
| The goalkeepers | Andreas Leitner (Ried) | Lukas Gütlbauer (Wolfsberg) |
|---|---|---|
| Saves | 12 | 13 |
| Save % | 55% | 72% |
| xG prevented | 36% | 42% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Ried a 54% win probability. Full 1X2 picture: Ried 54%, draw 26%, Wolfsberg 19%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 53% and under at 47%.
The probability of both teams scoring is 53% 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.