Swedish AllsvenskanStrandvallen, Sölvesborg9°22 km/h

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    MjällbyMjällbyPossession control
    vs
    Kalmar FFKalmar FFPossession control
    The model's lean: 1 · Mjällby (44%)

    Mjällby vs Kalmar FF · Swedish Allsvenskan

    1 · Mjällby 44%X 26%30% Kalmar FF · 2

    Prediction summary

    BetBuilders AI model prediction for Mjällby vs Kalmar FF (Swedish Allsvenskan, Monday, 2 November 2026): Mjällby win 44%, draw 26%, Kalmar FF win 30%. Expected goals (xG): Mjällby 1.54, Kalmar FF 1.26. Most likely score: 1-1 (12%). Over 2.5 goals 53%, both teams to score 57%. Double chance: Mjällby or draw 70%, Kalmar FF or draw 56%. Prediction updated Monday, 26 October 2026.

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    Analysis: Mjällby – Kalmar FF

    Anna Karlsson · · A data-driven preview · How the predictions work

    In the tight corridors of the Allsvenskan, tomorrow's clash between Mjällby and Kalmar FF presents a compelling showdown defined by possession control. Both teams favor keeping the ball, which could transform the match into a strategic battle rather than a frantic back-and-forth. Mjällby, slight favorites with a 44% probability of winning according to the model, have the edge in the head-to-head with 3 wins from their last five meetings. However, Kalmar, holding a narrow advantage in expected goals per match (1.3 to Mjällby's 1.1), could disrupt the hosts’ plans.

    The probability distribution hints at a tightly contested affair, with 1-1 (12%) being the most likely scoreline, followed by a 2-1 or 1-0 victory for Mjällby, both at 9%. Despite the historical dominance of the hosts, the underlying numbers suggest a more nuanced picture. Kalmar, with superior xPoints (34.5 vs 25.4) and a more robust defensive record (xGA 1.2 vs 1.7), could exploit any lapses in Mjällby’s defense. This makes the 30% chance for a Kalmar win a live possibility.

    While the probability of over 2.5 goals stands at 53%, the shared playing style and tactical cautiousness could easily suppress this potential. However, the fact that past encounters averaged 3.0 goals per game might encourage value hunters to take note, despite the model’s lean on a tight game. Both teams scoring, sitting at 57%, adds another layer to the narrative of a balanced contest.

    For punters, the sharpest angle perhaps lies with Mjällby at home, given their historical edge and slight probability advantage. Bet365 offers odds reflecting this value at 44% for a Mjällby win. Yet, the savvy bettor will weigh Kalmar’s underdog status and potential to disrupt, keeping an eye on a potential draw that could unfold if neither side breaks the deadlock decisively.

    MjällbyMjällby
    Form DLDLL
    League ranking xG #13xGA #13xT #9xP/match #14Points #12
    Key players
    • Jesper GustavssonCDMxG 0.02 · xT 0.06
    • Viktor GustafsonCMxG 0.03 · xT 0.16
    • Elliot StroudCAMxG 0.14 · xT 0.49
    Kalmar FFKalmar FF
    Form LLLWL
    League ranking xG #10xGA #7xT #4xP/match #8Points #13
    Key players
    • Carl GustafssonCDMxG 0.05 · xT 0.32
    • Lars SætraCBxG 0.04 · xT 0.05
    • Rony JanssonRBxG 0.08 · xT 0.19

    Match prediction: Mjällby – Kalmar FF

    Predicted score matrix

    Kalmar FF →
    Mjällby →
    0
    1
    2
    3
    4+
    0
    0–06.4%
    0–17.3%
    0–24.8%
    0–32.0%
    0–4+0.8%
    1
    1–09.0%
    1–112.2%
    1–27.4%
    1–33.1%
    1–4+1.3%
    2
    2–07.2%
    2–19.1%
    2–25.7%
    2–32.4%
    2–4+1.0%
    3
    3–03.7%
    3–14.7%
    3–22.9%
    3–31.2%
    3–4+0.5%
    4+
    4+–02.0%
    4+–12.5%
    4+–21.6%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-09%
    4. 4.1-27%
    5. 5.0-17%
    Expected goals
    1,54–1,26
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    –
    Over 2,553%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Mjällby or draw (1X)69%
    • Over 1.5 goals77%

    Combined probability

    54%

    Fair odds

    1.86

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

    02 · 3 legs

    Balanced

    • Double chance Mjällby or draw (1X)69%
    • Over 2.5 goals53%
    • Jacob Bergström to score27%

    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%
    • Jacob Bergström to score27%
    • Jesper Gustavsson 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

    Bookmaker1 · MjällbyX2 · Kalmar FF
    LeoVegas2.253.503.00

    Odds updated 26 Oct, 19:36

    Statistics

    Head-to-head

    5 matches
    Mjällby 3Draw 1Kalmar FF 1
    Goals: 10–5 (⌀ 3)

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

    Key facts

    • Mjällby AIF dominate this fixture historically: 3 wins to 1 in 5 meetings.
    • A high-scoring fixture: 3.0 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    Mjällby
    Kalmar FF
    When goals are scored and conceded — 2026
    Mjällby (28–42)
    Kalmar FF (23–41)
    Pass networks

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

    Mjällby
    Abdullah Iqbal: 221 passningar, xT 0.14IqbalJesper Gustavsson: 164 passningar, xT 0.37GustavssonTony Miettinen: 154 passningar, xT 0.42MiettinenVilliam Granath: 132 passningar, xT 0.37GranathTom Pettersson: 130 passningar, xT 0.34PetterssonAxel Norén: 106 passningar, xT 0.16NorénViktor Gustafson: 101 passningar, xT 0.71GustafsonJeppe Kjær: 81 passningar, xT 0.99KjærÁki Samuelsen: 76 passningar, xT 0.73SamuelsenAlexander Lundin: 71 passningar, xT 0.24LundinMax Nielsen: 67 passningar, xT 0.28Nielsen
    Kalmar FF
    Carl Gustafsson: 303 passningar, xT 1.61GustafssonJesper Löfgren: 285 passningar, xT 0.3LöfgrenMiska Ylitolva: 206 passningar, xT 0.7YlitolvaVictor Larsson: 201 passningar, xT 0.15LarssonLars Sætra: 151 passningar, xT 0.16SætraCharles Sagoe Jr: 150 passningar, xT 1.43JrMelker Hallberg: 115 passningar, xT 1.27HallbergAboubacar Keita: 101 passningar, xT 0.13KeitaAlexander Almqvist: 100 passningar, xT 0.13AlmqvistSamuel Brolin: 98 passningar, xT 0.18BrolinMarius Söderbäck: 77 passningar, xT 0.67Söderbäck
    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.

    Mjällby
    Abdullah Iqbal: 221 passningar, xT 0.14IqbalJesper Gustavsson: 164 passningar, xT 0.37GustavssonTony Miettinen: 154 passningar, xT 0.42MiettinenVilliam Granath: 132 passningar, xT 0.37GranathTom Pettersson: 130 passningar, xT 0.34PetterssonAxel Norén: 106 passningar, xT 0.16NorénViktor Gustafson: 101 passningar, xT 0.71GustafsonJeppe Kjær: 81 passningar, xT 0.99KjærÁki Samuelsen: 76 passningar, xT 0.73SamuelsenAlexander Lundin: 71 passningar, xT 0.24LundinMax Nielsen: 67 passningar, xT 0.28Nielsen
    Kalmar FF
    Carl Gustafsson: 303 passningar, xT 1.61GustafssonJesper Löfgren: 285 passningar, xT 0.3LöfgrenMiska Ylitolva: 206 passningar, xT 0.7YlitolvaVictor Larsson: 201 passningar, xT 0.15LarssonLars Sætra: 151 passningar, xT 0.16SætraCharles Sagoe Jr: 150 passningar, xT 1.43JrMelker Hallberg: 115 passningar, xT 1.27HallbergAboubacar Keita: 101 passningar, xT 0.13KeitaAlexander Almqvist: 100 passningar, xT 0.13AlmqvistSamuel Brolin: 98 passningar, xT 0.18BrolinMarius Söderbäck: 77 passningar, xT 0.67Söderbäck

    The teams in numbers

    PerformanceMjällbyKalmar FF
    Points2322
    xPoints25.434.5
    xG per match1.11.3
    xGA per match1.71.2
    xG within 8s of winning the ball0.180.24
    xGA within 8s of losing the ball0.440.19
    Playing styleMjällbyKalmar FF
    Build-up efficiency0.310.31
    Field tilt0.490.5
    xT per match1.41.5
    xTA per match1.41.2
    Won balls, offensive half3332
    Pressing intensity0.550.53
    Pressing efficiency0.230.22
    Pressing efficiency, offensive half0.240.23
    Entries into the box per match1416
    Entries into the box against1514
    Pass completion %0.80.82
    Pass completion % under pressure0.760.77
    Passes per match392405
    Passes against per match400448
    Switches of play per match17.913.4
    Long balls per match3129
    Set piecesMjällbyKalmar FF
    xG from free kicks0.230.12
    Corners per match4.95
    Corners against per match4.85.6
    xG per corner0.020.02
    xGA per corner against0.020.02
    First touch, offensive corners %0.340.4
    First touch, defensive corners %0.550.64
    OtherMjällbyKalmar FF
    Throw-in control0.560.63
    The goalkeepersRobin Wallinder (Mjällby)Samuel Brolin (Kalmar FF)
    Saves7166
    Save %69%70%
    xG prevented47%51%
    Claims112 (89%)99 (90%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: Mjällby spelschemaKalmar FF spelschema

    Frequently asked questions

    Who wins Mjällby vs Kalmar FF according to our model?

    The model gives Mjällby a 44% win probability. Full 1X2 picture: Mjällby 44%, draw 26%, Kalmar FF 30%.

    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.

    How many goals are expected in Mjällby vs Kalmar FF?

    The model expects 1.54 goals (xG) for Mjällby and 1.26 for Kalmar FF, 2.80 in total.

    What does the model say about double chance?

    Mjällby or draw (1X) 70%, Kalmar FF or draw (X2) 56% and no draw (12) 74%.

    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.