01 · 2 legs
Safe
- Double chance Mjällby or draw (1X)65%
- Over 1.5 goals77%
Swedish AllsvenskanStrandvallen, Sölvesborg14°7,8 mm33 km/h
Läs på svenskaMarcus Johansson · · Analysis from the match model · How the predictions work
TEXT: Both Mjällby and GAIS are pegged at a 38% chance of winning, yet the hosts hold a slight model lean. This tension signals balance, but the tactical clash could break it. Mjällby relies on controlling possession, while GAIS thrives on a high press. The visitors lead the table in points and expected points, showcasing sharper execution and efficiency. Mjällby will need to exploit every inch of their possession as they face a GAIS side adept at suppressing goal chances, highlighted by their lower xGA.
The historical head-to-head is a wash, with a small sample of five games yielding one win apiece and three draws. Mjällby's challenge is underscored by their inferior xG per match (1.2) compared to GAIS's 1.6. The expected goals suggest a tight affair, with a slight tilt towards over 2.5 goals despite the weather: the forecasted 7.8 mm of rain could still muddle passing lanes and slow transitions.
However, there's a betting angle here. Mjällby is valued at odds of 2.72 with Betsafe, Betsson, and Nordicbet, offering a 2% edge according to the model. Given the model's lean and the home advantage, this market value deserves a closer look for those keen on finding a positive EV play.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Mjällby | X | 2 · GAIS |
|---|---|---|---|
| Betfair Exchange | 1.59 | 1.57 | 1.12 |
| Betsafe | EV+ 2% 2.72 | 3.47 | 2.52 |
| Betsson | EV+ 2% 2.72 | 3.47 | 2.52 |
| Nordicbet | EV+ 2% 2.72 | 3.47 | 2.52 |
| Pinnacle | EV+ 1% 2.70 | 3.57 | 2.45 |
Odds updated 19 Sept, 14:37
2.70 → 2.70
3.57 → 3.57
2.45 → 2.45
1.71 → 1.72
Pinnacle · 2 recorded price levels · 17/09/2026 → 19/09/2026 · 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 | Mjällby | GAIS |
|---|---|---|
| Points | 22 | 27 |
| xPoints | 21.3 | 34 |
| xG per match | 1.2 | 1.6 |
| xGA per match | 1.8 | 1.1 |
| xG within 8s of winning the ball | 0.22 | 0.43 |
| xGA within 8s of losing the ball | 0.44 | 0.17 |
| Playing style | Mjällby | GAIS |
|---|---|---|
| Build-up efficiency | 0.31 | 0.33 |
| Field tilt | 0.5 | 0.55 |
| xT per match | 1.4 | 1.6 |
| xTA per match | 1.4 | 1.3 |
| Won balls, offensive half | 33 | 38 |
| Pressing intensity | 0.56 | 0.5 |
| Pressing efficiency | 0.23 | 0.24 |
| Pressing efficiency, offensive half | 0.24 | 0.25 |
| Entries into the box per match | 14 | 17 |
| Entries into the box against | 15 | 12 |
| Pass completion % | 0.8 | 0.81 |
| Pass completion % under pressure | 0.77 | 0.77 |
| Passes per match | 404 | 418 |
| Passes against per match | 399 | 411 |
| Switches of play per match | 17.6 | 12.5 |
| Long balls per match | 31 | 27 |
| Set pieces | Mjällby | GAIS |
|---|---|---|
| xG from free kicks | 0.24 | 0.17 |
| Corners per match | 4.8 | 5.3 |
| Corners against per match | 4.8 | 4.4 |
| xG per corner | 0.03 | 0.02 |
| xGA per corner against | 0.02 | 0.01 |
| First touch, offensive corners % | 0.37 | 0.35 |
| First touch, defensive corners % | 0.54 | 0.67 |
| Other | Mjällby | GAIS |
|---|---|---|
| Throw-in control | 0.56 | 0.62 |
| The goalkeepers | Robin Wallinder (Mjällby) | Mergim Krasniqi (GAIS) |
|---|---|---|
| Saves | 69 | 44 |
| Save % | 70% | 79% |
| xG prevented | 45% | 50% |
| Claims | 106 (89%) | 80 (94%) |
The model gives Mjällby a 38% win probability. Full 1X2 picture: Mjällby 38%, draw 25%, GAIS 38%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 53% and under at 47%.
The probability of both teams scoring is 57% 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.