01 · 2 legs
Safe
- IFK Göteborg to win57%
- Over 1.5 goals84%
Swedish AllsvenskanGamla Ullevi, Göteborg18°10,2 mm20 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
IFK Göteborg stands the favorite with a 57% win probability, a clear edge in form and xG metrics. The hosts boast an expected goals tally of 2.04 against Örgryte's 1.24, underlining their attacking prowess. While the visitors have shown resilience through balanced play, their expected goals against (xGA) of 1.9 per match suggests vulnerability at the back, which Göteborg's counter-attacking style is poised to exploit.
With the most likely outcomes pegged at 1-1 and 2-1, a tight contest seems probable. However, the 64% chance of over 2.5 goals hints at a likely breach of this threshold. Both teams are expected to score, with a 62% probability supporting this view. It's also worth noting the forecasted 10.4 mm of rain, potentially dampening goal-scoring opportunities, though this is already factored into the model's numbers.
For those scouring for betting value, all eyes should turn to the 5.43 odds on Örgryte with Betsafe, Betsson, and Nordicbet. Despite being underdogs, the offered odds present a 16% edge compared to the model's assessment. While the sample size of head-to-head data is minor, such value propositions don't appear often.
The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · IFK Göteborg | X | 2 · Örgryte |
|---|---|---|---|
| Betsafe | 1.68 | 4.10 | EV+ 1% 4.73 |
| Betsson | 1.68 | 4.10 | EV+ 1% 4.73 |
| Nordicbet | 1.68 | 4.10 | EV+ 1% 4.73 |
| Pinnacle | 1.62 | 4.40 | EV+ 5% 4.92 |
Odds updated 30 Aug, 14:29
1.55 → 1.62
4.38 → 4.40
5.13 → 4.92
Pinnacle · 14 recorded price levels · 24/08/2026 → 30/08/2026 · fixed scale 5 percentage points
Head-to-head based on Allsvenskan 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 | IFK Göteborg | Örgryte |
|---|---|---|
| Points | 20 | 14 |
| xPoints | 27.5 | 20.4 |
| xG per match | 1.6 | 1.1 |
| xGA per match | 1.4 | 1.9 |
| xG within 8s of winning the ball | 0.31 | 0.21 |
| xGA within 8s of losing the ball | 0.25 | 0.35 |
| Playing style | IFK Göteborg | Örgryte |
|---|---|---|
| Build-up efficiency | 0.33 | 0.37 |
| Field tilt | 0.51 | 0.35 |
| xT per match | 1.4 | 1.2 |
| xTA per match | 1.5 | 1.6 |
| Won balls, offensive half | 32 | 27 |
| Pressing intensity | 0.52 | 0.5 |
| Pressing efficiency | 0.25 | 0.21 |
| Pressing efficiency, offensive half | 0.26 | 0.23 |
| Entries into the box per match | 15 | 13 |
| Entries into the box against | 13 | 17 |
| Pass completion % | 0.8 | 0.78 |
| Pass completion % under pressure | 0.75 | 0.74 |
| Passes per match | 381 | 342 |
| Passes against per match | 366 | 480 |
| Switches of play per match | 15 | 16.1 |
| Long balls per match | 31 | 27 |
| Set pieces | IFK Göteborg | Örgryte |
|---|---|---|
| xG from free kicks | 0.17 | 0.12 |
| Corners per match | 6.7 | 4 |
| Corners against per match | 4.9 | 6 |
| xG per corner | 0.03 | 0.03 |
| xGA per corner against | 0.03 | 0.03 |
| First touch, offensive corners % | 0.4 | 0.44 |
| First touch, defensive corners % | 0.62 | 0.55 |
| Other | IFK Göteborg | Örgryte |
|---|---|---|
| Throw-in control | 0.56 | 0.57 |
| The goalkeepers | Elis Bishesari (IFK Göteborg) | Hampus Gustafsson (Örgryte) |
|---|---|---|
| Saves | 38 | 64 |
| Save % | 57% | 61% |
| xG prevented | 32% | 33% |
| Claims | 56 (85%) | 108 (92%) |
The model gives IFK Göteborg a 57% win probability. Full 1X2 picture: IFK Göteborg 57%, draw 21%, Örgryte 21%.
The model's most likely final score is 1-1 at 10% probability.
The model rates over 2.5 goals at 64% and under at 36%.
The probability of both teams scoring is 62% 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.