Swedish AllsvenskanBorås arena, Borås15°3,3 mm13 km/h

    Läs på svenska
    ElfsborgElfsborgBalanced & physical
    vs
    Kalmar FFKalmar FFPossession control
    The model's lean: 1 · Elfsborg (48%)Best value by the model: 2 · Kalmar FF @ 4.17 (+10 %)

    ElfsborgKalmar FF · Swedish Allsvenskan

    1 · Elfsborg 48%X 26%26% Kalmar FF · 2

    Analysis: ElfsborgKalmar FF

    Anna 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%.

    ElfsborgElfsborg
    Form WWDWL
    League ranking xG #8xGA #8xT #9xP/match #8Points #5
    Key players
    • Niklas HultLWBxG 0.07 · xT 0.16
    • Arber ZeneliLWxG 0.31 · xT 0.44
    • Júlíus MagnússonCMxG 0.12 · xT 0.13
    Kalmar FFKalmar FF
    Form LLDLL
    League ranking xG #11xGA #6xT #6xP/match #9Points #13
    Key players
    • Anthony OlusanyaFxG 0.37 · xT -0.03
    • Charles Sagoe JrLWxG 0.18 · xT 0.26
    • Marius SöderbäckFxG 0.12 · xT 0.13

    Match prediction: ElfsborgKalmar FF

    Predicted score matrix

    Kalmar FF
    Elfsborg
    0
    1
    2
    3
    4+
    0
    0–07.2%
    0–17.1%
    0–24.0%
    0–31.4%
    0–4+0.5%
    1
    1–010.7%
    1–112.2%
    1–26.4%
    1–32.3%
    1–4+0.8%
    2
    2–08.8%
    2–19.5%
    2–25.1%
    2–31.8%
    2–4+0.6%
    3
    3–04.7%
    3–15.1%
    3–22.7%
    3–31.0%
    3–4+0.3%
    4+
    4+–02.7%
    4+–12.9%
    4+–21.6%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-011%
    3. 3.2-19%
    4. 4.2-09%
    5. 5.0-07%
    Expected goals
    1,601,07
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @1.98
    Over 2,550%
    @1.83

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Elfsborg to win48%
    • Under 3.5 goals72%

    Combined probability

    34%

    Fair odds

    2.97

    Two legs pulling the same way — the probability is computed exactly from the score matrix, not multiplied.

    02 · 3 legs

    Balanced

    • Elfsborg to win48%
    • Over 2.5 goals50%
    • Leo Östman to score25%

    Combined probability

    Fair odds

    The whole slip is priced jointly via 20,000 simulated matches — the scorer interacts with result and total goals, never naive multiplication.

    03 · 4 legs

    Bold

    • Both teams to score53%
    • Over 2.5 goals50%
    • Leo Östman to score25%
    • Robert Gojani to be booked21%

    Combined probability

    Fair odds

    The goal-fest: both teams score with at least three goals, plus the match's most likely scorer and card candidate — all priced jointly via 20,000 simulated matches.

    Odds & value

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 2 · Kalmar FF26% probability@4.17PinnacleEV+10%reference odds
    • 2 · Kalmar FF26% probability@4.07BetsafeEV+7%reference odds
    • 2 · Kalmar FF26% probability@4.07BetssonEV+7%reference odds
    Bookmaker1 · ElfsborgX2 · Kalmar FF
    Betfair Exchange1.131.111.11
    Betsafe1.893.60
    EV+ 7%
    4.07
    Betsson1.893.60
    EV+ 7%
    4.07
    Nordicbet1.893.60
    EV+ 7%
    4.07
    Pinnacle1.813.68
    EV+ 10%
    4.17

    Odds updated 11 Sept, 12:38

    Odds movement

    10 %
    54 %49 %

    1.811.81

    X0 %
    28 %23 %

    3.683.68

    20 %
    25 %20 %

    4.174.17

    Over 2,50 %
    55 %50 %

    1.831.83

    Pinnacle · 3 recorded price levels · 08/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Elfsborg 2Draw 0Kalmar FF 3
    Goals: 98 (⌀ 3,4)

    Head-to-head based on Allsvenskan data since 2023.

    Key facts

    • A high-scoring fixture: 3.4 goals per meeting on average.
    • IF Elfsborg win 56% of their home matches all-time (55 played).
    xG & xGA per match — 3-game rolling average

    Solid line = created (xG), dashed = conceded (xGA).

    Elfsborg
    Kalmar FF
    When goals are scored and conceded 2026
    Elfsborg (2821)
    Kalmar FF (2130)
    Pass networks

    Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.

    Elfsborg
    Alexander Jensen: 340 passningar, xT 0.56JensenThomas Poppler Isherwood: 312 passningar, xT 0.47IsherwoodNiklas Hult: 273 passningar, xT 1.1HultJulius Eskelund Beck: 273 passningar, xT 0.95BeckRasmus Wikström: 236 passningar, xT -0.03WikströmJúlíus Magnússon: 225 passningar, xT 0.35MagnússonMomoh Ibrahim Kamara: 173 passningar, xT 0.97KamaraIsak Pettersson: 169 passningar, xT 0.2PetterssonArber Zeneli: 165 passningar, xT 0.75ZeneliSimon Olsson: 134 passningar, xT 0.55OlssonSebastian Holmén: 121 passningar, xT 0.12Holmén
    Kalmar FF
    Robert Gojani: 249 passningar, xT 0.63GojaniLars Sætra: 236 passningar, xT 0.25SætraAlexander Almqvist: 226 passningar, xT 0.15AlmqvistVictor Larsson: 173 passningar, xT 0.93LarssonMelker Hallberg: 159 passningar, xT 0.7HallbergSivert Engh Øverby: 151 passningar, xT 0.71ØverbyCharles Sagoe Jr: 128 passningar, xT 0.94JrNassef Chourak: 120 passningar, xT 0.5ChourakSamuel Brolin: 95 passningar, xT 0.18BrolinAboubacar Keita: 79 passningar, xT 0.16KeitaMarius Söderbäck: 76 passningar, xT 0.52Söderbäck
    xT networks

    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.

    Elfsborg
    Alexander Jensen: 340 passningar, xT 0.56JensenThomas Poppler Isherwood: 312 passningar, xT 0.47IsherwoodNiklas Hult: 273 passningar, xT 1.1HultJulius Eskelund Beck: 273 passningar, xT 0.95BeckRasmus Wikström: 236 passningar, xT -0.03WikströmJúlíus Magnússon: 225 passningar, xT 0.35MagnússonMomoh Ibrahim Kamara: 173 passningar, xT 0.97KamaraIsak Pettersson: 169 passningar, xT 0.2PetterssonArber Zeneli: 165 passningar, xT 0.75ZeneliSimon Olsson: 134 passningar, xT 0.55OlssonSebastian Holmén: 121 passningar, xT 0.12Holmén
    Kalmar FF
    Robert Gojani: 249 passningar, xT 0.63GojaniLars Sætra: 236 passningar, xT 0.25SætraAlexander Almqvist: 226 passningar, xT 0.15AlmqvistVictor Larsson: 173 passningar, xT 0.93LarssonMelker Hallberg: 159 passningar, xT 0.7HallbergSivert Engh Øverby: 151 passningar, xT 0.71ØverbyCharles Sagoe Jr: 128 passningar, xT 0.94JrNassef Chourak: 120 passningar, xT 0.5ChourakSamuel Brolin: 95 passningar, xT 0.18BrolinAboubacar Keita: 79 passningar, xT 0.16KeitaMarius Söderbäck: 76 passningar, xT 0.52Söderbäck

    The teams in numbers

    PerformanceElfsborgKalmar FF
    Points3119
    xPoints27.527.5
    xG per match1.31.2
    xGA per match1.31.2
    xG within 8s of winning the ball0.260.25
    xGA within 8s of losing the ball0.30.22
    Playing styleElfsborgKalmar FF
    Build-up efficiency0.350.31
    Field tilt0.480.47
    xT per match1.41.4
    xTA per match1.21.1
    Won balls, offensive half2730
    Pressing intensity0.460.52
    Pressing efficiency0.230.22
    Pressing efficiency, offensive half0.250.23
    Entries into the box per match1415
    Entries into the box against1314
    Pass completion %0.830.82
    Pass completion % under pressure0.770.77
    Passes per match410397
    Passes against per match432450
    Switches of play per match13.414
    Long balls per match2730
    Set piecesElfsborgKalmar FF
    xG from free kicks0.10.11
    Corners per match4.14.8
    Corners against per match5.15.7
    xG per corner0.030.02
    xGA per corner against0.020.01
    First touch, offensive corners %0.460.41
    First touch, defensive corners %0.690.61
    OtherElfsborgKalmar FF
    Throw-in control0.640.62
    The goalkeepersIsak Pettersson (Elfsborg)Samuel Brolin (Kalmar FF)
    Saves6448
    Save %75%73%
    xG prevented55%56%
    Claims85 (87%)74 (88%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Elfsborg vs Kalmar FF according to our model?

    The model gives Elfsborg a 48% win probability. Full 1X2 picture: Elfsborg 48%, draw 26%, Kalmar FF 26%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 50% and under at 50%.

    Will both teams score?

    The probability of both teams scoring is 53% according to the model.

    Why are some legs locked in the bet builder?

    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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.