Swedish AllsvenskanGuldfågeln Arena, Kalmar15°1,2 mm28 km/h

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    Kalmar FFKalmar FFPossession control
    vs
    HäckenHäckenCounter-attacks & crosses
    The model's lean: 2 · Häcken (43%)

    Kalmar FF vs Häcken · Swedish Allsvenskan

    1 · Kalmar FF 32%X 25%43% Häcken · 2

    Analysis: Kalmar FFHäcken

    Sofia Andersson · · The model's read on the match · How the predictions work

    Kalmar FF's recent skid of three consecutive losses is the immediate backdrop to their clash with BK Häcken, who statistically hold the upper hand with 43% win chances. Despite the hosts' historical dominance over their visitors in a small sample of five meetings since 2023, the current form and expected goals data paint a different picture. Häcken's ability to exploit counter-attacks and crosses suggests they are well-equipped to capitalize on Kalmar's possession-heavy strategy.

    The most likely outcomes lean towards a tight contest, with the model slightly favoring a 1-1 draw at 12% probability, followed by a 1-2 away win and a 0-1 result, both at 9%. Kalmar's expected goals (xG) per match of 1.2 falls short compared to Häcken's 1.5, further emphasizing the visitors' offensive edge. On the defensive end, Kalmar concedes an average of 1.3 goals per match, slightly worse than Häcken's 1.1, highlighting vulnerabilities that the visitors could exploit.

    With a 53% probability for over 2.5 goals and a 57% chance of both teams finding the net, the game hints at being a competitive encounter with potential scoring from both sides. However, Häcken's superior xG and xGA metrics suggest they could edge Kalmar by a narrow margin. The model supports this with a lean towards an away victory.

    For bettors, there's value in backing Häcken at odds of 2.38 across Betsafe, Betsson, and Nordicbet, with the model rating it a 43% chance — a 2% edge over the bookmakers. While not a guarantee, this underscores the visitors' position as the likely favorites, making them a sensible option for those seeking value in the odds.

    Kalmar FFKalmar FF
    Form LDLLL
    League ranking xG #10xGA #6xT #5xP/match #9Points #13
    Key players
    • Anthony OlusanyaFxG 0.37 · xT -0.03
    • Charles Sagoe JrLWxG 0.17 · xT 0.26
    • Marius SöderbäckFxG 0.16 · xT 0.15
    HäckenHäcken
    Form WWLDD
    League ranking xG #6xGA #4xT #3xP/match #5Points #6
    Key players
    • Julius LindbergFxG 0.36 · xT 0.23
    • Adrian SvanbäckFxG 0.22 · xT 0.12
    • Amor LayouniRWxG 0.28 · xT 0.50

    Match prediction: Kalmar FFHäcken

    Predicted score matrix

    Häcken
    Kalmar FF
    0
    1
    2
    3
    4+
    0
    0–06.4%
    0–18.8%
    0–26.9%
    0–33.5%
    0–4+1.8%
    1
    1–07.5%
    1–112.2%
    1–28.9%
    1–34.5%
    1–4+2.4%
    2
    2–05.1%
    2–17.7%
    2–25.8%
    2–32.9%
    2–4+1.5%
    3
    3–02.2%
    3–13.3%
    3–22.5%
    3–31.3%
    3–4+0.7%
    4+
    4+–00.9%
    4+–11.4%
    4+–21.1%
    4+–30.5%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.0-19%
    4. 4.2-18%
    5. 5.1-08%
    Expected goals
    1,291,51
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.07
    Over 2,553%
    @1.77

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Häcken or draw (X2)68%
    • Over 1.5 goals77%

    Combined probability

    53%

    Fair odds

    1.90

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

    02 · 3 legs

    Balanced

    • Double chance Häcken or draw (X2)68%
    • Over 2.5 goals53%
    • Mikkel Rygaard Jensen to score22%

    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 score57%
    • Over 2.5 goals53%
    • Mikkel Rygaard Jensen to score22%
    • Robert Gojani to be booked22%

    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 · Häcken43% probability@2.43PinnacleEV+4%reference odds
    • 2 · Häcken43% probability@2.38BetsafeEV+2%reference odds
    • 2 · Häcken43% probability@2.38BetssonEV+2%reference odds
    Bookmaker1 · Kalmar FFX2 · Häcken
    Betsafe2.893.49
    EV+ 2%
    2.38
    Betsson2.893.49
    EV+ 2%
    2.38
    Nordicbet2.893.49
    EV+ 2%
    2.38
    Pinnacle2.833.53
    EV+ 4%
    2.43

    Odds updated 19 Sept, 12:37

    Odds movement

    Market signal

    The market has moved clearly towards under 2.5 goals since 13 September — the odds have shortened from 2.21 to 2.07 (−6%).

    1+1 %
    36 %31 %

    2.802.83

    X-3 %
    29 %24 %

    3.653.53

    2+4 %
    43 %38 %

    2.342.43

    Over 2,5+7 %
    58 %53 %

    1.651.77

    Pinnacle · 5 recorded price levels · 13/09/2026 → 19/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Kalmar FF 3Draw 1Häcken 1
    Goals: 75 (⌀ 2,4)

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

    Key facts

    • Kalmar FF dominate this fixture historically: 3 wins to 1 in 5 meetings.
    • Kalmar FF have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    Kalmar FF
    Häcken
    When goals are scored and conceded 2026
    Kalmar FF (2131)
    Häcken (3430)
    Pass networks

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

    Kalmar FF
    Victor Larsson: 211 passningar, xT 0.94LarssonAlexander Almqvist: 202 passningar, xT 0.15AlmqvistRobert Gojani: 197 passningar, xT 0.55GojaniLars Sætra: 169 passningar, xT 0.18SætraMelker Hallberg: 129 passningar, xT 0.72HallbergCharles Sagoe Jr: 126 passningar, xT 1.07JrAboubacar Keita: 123 passningar, xT 0.23KeitaJesper Löfgren: 117 passningar, xT 0.23LöfgrenSivert Engh Øverby: 115 passningar, xT 0.63ØverbySamuel Brolin: 111 passningar, xT 0.21BrolinMiska Ylitolva: 99 passningar, xT 0.2Ylitolva
    Häcken
    Abdoulaye Doumbia: 331 passningar, xT 0.23DoumbiaDavid Seger: 329 passningar, xT 0.75SegerFilip Helander: 272 passningar, xT 0.23HelanderBrice Wembangomo: 272 passningar, xT 0.85WembangomoAdam Lundkvist: 247 passningar, xT 0.81LundkvistJulius Lindberg: 193 passningar, xT 0.8LindbergMikkel Rygaard: 185 passningar, xT 0.5RygaardLeo Väisänen: 135 passningar, xT 0.1VäisänenAdrian Svanbäck: 130 passningar, xT 0.41SvanbäckOlle Samuelsson: 91 passningar, xT 0.08SamuelssonSimen Hestnes: 77 passningar, xT 0.1Hestnes
    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.

    Kalmar FF
    Victor Larsson: 211 passningar, xT 0.94LarssonAlexander Almqvist: 202 passningar, xT 0.15AlmqvistRobert Gojani: 197 passningar, xT 0.55GojaniLars Sætra: 169 passningar, xT 0.18SætraMelker Hallberg: 129 passningar, xT 0.72HallbergCharles Sagoe Jr: 126 passningar, xT 1.07JrAboubacar Keita: 123 passningar, xT 0.23KeitaJesper Löfgren: 117 passningar, xT 0.23LöfgrenSivert Engh Øverby: 115 passningar, xT 0.63ØverbySamuel Brolin: 111 passningar, xT 0.21BrolinMiska Ylitolva: 99 passningar, xT 0.2Ylitolva
    Häcken
    Abdoulaye Doumbia: 331 passningar, xT 0.23DoumbiaDavid Seger: 329 passningar, xT 0.75SegerFilip Helander: 272 passningar, xT 0.23HelanderBrice Wembangomo: 272 passningar, xT 0.85WembangomoAdam Lundkvist: 247 passningar, xT 0.81LundkvistJulius Lindberg: 193 passningar, xT 0.8LindbergMikkel Rygaard: 185 passningar, xT 0.5RygaardLeo Väisänen: 135 passningar, xT 0.1VäisänenAdrian Svanbäck: 130 passningar, xT 0.41SvanbäckOlle Samuelsson: 91 passningar, xT 0.08SamuelssonSimen Hestnes: 77 passningar, xT 0.1Hestnes

    The teams in numbers

    PerformanceKalmar FFHäcken
    Points1933
    xPoints28.732.7
    xG per match1.21.5
    xGA per match1.31.1
    xG within 8s of winning the ball0.240.22
    xGA within 8s of losing the ball0.210.27
    Playing styleKalmar FFHäcken
    Build-up efficiency0.310.35
    Field tilt0.480.5
    xT per match1.51.5
    xTA per match1.11.1
    Won balls, offensive half3127
    Pressing intensity0.510.54
    Pressing efficiency0.220.24
    Pressing efficiency, offensive half0.230.23
    Entries into the box per match1614
    Entries into the box against1413
    Pass completion %0.820.83
    Pass completion % under pressure0.770.79
    Passes per match401436
    Passes against per match448391
    Switches of play per match1413.4
    Long balls per match3032
    Set piecesKalmar FFHäcken
    xG from free kicks0.10.1
    Corners per match4.95.4
    Corners against per match5.65.4
    xG per corner0.030.02
    xGA per corner against0.020.02
    First touch, offensive corners %0.410.52
    First touch, defensive corners %0.60.64
    OtherKalmar FFHäcken
    Throw-in control0.630.66
    The goalkeepersSamuel Brolin (Kalmar FF)Andreas Linde (Häcken)
    Saves5245
    Save %73%74%
    xG prevented56%52%
    Claims80 (88%)54 (90%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Kalmar FF vs Häcken according to our model?

    The model gives Häcken a 43% win probability. Full 1X2 picture: Kalmar FF 32%, draw 25%, Häcken 43%.

    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 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.

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