01 · 2 legs
Safe
- Elfsborg to win48%
- Under 3.5 goals72%
Swedish AllsvenskanBorås arena, Borås15°3,3 mm13 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
TEXT: Elfsborg carries a 48% model probability of winning against Kalmar FF, a significant edge given their balanced and physical playing style. The hosts have traditionally been strong at home, winning 56% of their matches, which aligns with their modelled victory lean. Despite leading the head-to-head series 3-2, Kalmar FF appears vulnerable as their possession-based approach may struggle in the expected rain.
With a most likely scoreline of 1-1 (12%) and Elfsborg's 1-0 victory a close second at 11%, the match leans slightly toward a narrow home win. Elfsborg's expected goals sit at 1.60, comfortably ahead of the visitors' 1.07, suggesting their ability to edge out a result. The head-to-head data, given just five recent encounters, holds less weight compared to form and expected goals, especially in the context of Elfsborg's superior home record.
Value seekers may be tempted by Kalmar FF's odds of 4.07 on Betsafe, Betsson, and Nordicbet, considering the model rates the away win at 26% (7% edge). However, the most likely outcome remains a tight 1-1 draw, with the over/under 2.5 goals split at 50%.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Elfsborg | X | 2 · Kalmar FF |
|---|---|---|---|
| Betfair Exchange | 1.13 | 1.11 | 1.11 |
| Betsafe | 1.89 | 3.60 | EV+ 7% 4.07 |
| Betsson | 1.89 | 3.60 | EV+ 7% 4.07 |
| Nordicbet | 1.89 | 3.60 | EV+ 7% 4.07 |
| Pinnacle | 1.81 | 3.68 | EV+ 10% 4.17 |
Odds updated 11 Sept, 12:38
1.81 → 1.81
3.68 → 3.68
4.17 → 4.17
1.83 → 1.83
Pinnacle · 3 recorded price levels · 08/09/2026 → 11/09/2026 · 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 | Elfsborg | Kalmar FF |
|---|---|---|
| Points | 31 | 19 |
| xPoints | 27.5 | 27.5 |
| xG per match | 1.3 | 1.2 |
| xGA per match | 1.3 | 1.2 |
| xG within 8s of winning the ball | 0.26 | 0.25 |
| xGA within 8s of losing the ball | 0.3 | 0.22 |
| Playing style | Elfsborg | Kalmar FF |
|---|---|---|
| Build-up efficiency | 0.35 | 0.31 |
| Field tilt | 0.48 | 0.47 |
| xT per match | 1.4 | 1.4 |
| xTA per match | 1.2 | 1.1 |
| Won balls, offensive half | 27 | 30 |
| Pressing intensity | 0.46 | 0.52 |
| Pressing efficiency | 0.23 | 0.22 |
| Pressing efficiency, offensive half | 0.25 | 0.23 |
| Entries into the box per match | 14 | 15 |
| Entries into the box against | 13 | 14 |
| Pass completion % | 0.83 | 0.82 |
| Pass completion % under pressure | 0.77 | 0.77 |
| Passes per match | 410 | 397 |
| Passes against per match | 432 | 450 |
| Switches of play per match | 13.4 | 14 |
| Long balls per match | 27 | 30 |
| Set pieces | Elfsborg | Kalmar FF |
|---|---|---|
| xG from free kicks | 0.1 | 0.11 |
| Corners per match | 4.1 | 4.8 |
| Corners against per match | 5.1 | 5.7 |
| xG per corner | 0.03 | 0.02 |
| xGA per corner against | 0.02 | 0.01 |
| First touch, offensive corners % | 0.46 | 0.41 |
| First touch, defensive corners % | 0.69 | 0.61 |
| Other | Elfsborg | Kalmar FF |
|---|---|---|
| Throw-in control | 0.64 | 0.62 |
| The goalkeepers | Isak Pettersson (Elfsborg) | Samuel Brolin (Kalmar FF) |
|---|---|---|
| Saves | 64 | 48 |
| Save % | 75% | 73% |
| xG prevented | 55% | 56% |
| Claims | 85 (87%) | 74 (88%) |
The model gives Elfsborg a 48% win probability. Full 1X2 picture: Elfsborg 48%, draw 26%, Kalmar FF 26%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 50% and under at 50%.
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.