Swedish AllsvenskanGuldfågeln Arena, Kalmar12°26 km/h

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    Kalmar FFKalmar FFPossession control
    vs
    GAISGAISPossession & high press
    The model's lean: 2 · GAIS (40%)

    Kalmar FF vs GAIS · Swedish Allsvenskan

    1 · Kalmar FF 34%X 26%40% GAIS · 2

    Prediction summary

    BetBuilders AI model prediction for Kalmar FF vs GAIS (Swedish Allsvenskan, Thursday, 29 October 2026): Kalmar FF win 34%, draw 26%, GAIS win 40%. Expected goals (xG): Kalmar FF 1.26, GAIS 1.39. Most likely score: 1-1 (13%). Over 2.5 goals 50%, both teams to score 54%. Double chance: Kalmar FF or draw 60%, GAIS or draw 66%. Prediction updated Thursday, 22 October 2026.

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    Analysis: Kalmar FF – GAIS

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

    TEXT:

    Gais's 40% win probability stands out as the sharpest edge in this matchup against Kalmar FF, underscoring their form advantage. The visitors have maintained a solid run, highlighted by two victories and a draw in their last three head-to-heads against Kalmar. While it's a small sample size, it still favors the away side. Coupled with a current points tally of 30 compared to Kalmar's 22, Gais’s momentum is tangible.

    Kalmar, known for their possession control, might struggle against Gais’s high press. With Gais registering an xG of 1.6 per match compared to Kalmar’s 1.3, the visitors appear more potent in attack. This attacking edge aligns with the model's lean toward a Gais victory, further backed by the most probable outcome of a 1-2 scoreline.

    Despite both teams averaging 1.2 expected goals against (xGA) per match, suggesting defense parity, Gais’s superior goal-scoring potential tips the balance. The model’s probabilities indicate a 50% chance for over 2.5 goals and a 54% chance for both teams to score. These metrics suggest a game where goals are likely but not guaranteed in abundance.

    Considering the numbers, the most likely result of 1-1 (13%) hints at a closely contested battle. However, the combination of Gais's form, stylistic advantage, and goal-scoring prowess provides a compelling case for them to edge out Kalmar. A 1-2 scoreline, with a slight lean towards over 2.5 goals, seems a prudent expectation.

    Kalmar FFKalmar FF
    Form LLLLW
    League ranking xG #10xGA #7xT #4xP/match #8Points #13
    Key players
    • Carl GustafssonCDMxG 0.05 · xT 0.29
    • Lars SætraCBxG 0.04 · xT 0.05
    • Rony JanssonRBxG 0.08 · xT 0.19
    GAISGAIS
    Form DLWLL
    League ranking xG #4xGA #5xT #2xP/match #6Points #10
    Key players
    • August WängbergRBxG 0.02 · xT 0.14
    • Filip BeckmanCBxG 0.10 · xT 0.09
    • Robin FrejCBxG 0.03 · xT 0.20

    Match prediction: Kalmar FF – GAIS

    Predicted score matrix

    GAIS →
    Kalmar FF →
    0
    1
    2
    3
    4+
    0
    0–07.4%
    0–19.4%
    0–26.8%
    0–33.2%
    0–4+1.5%
    1
    1–08.5%
    1–112.7%
    1–28.6%
    1–34.0%
    1–4+1.9%
    2
    2–05.6%
    2–17.8%
    2–25.4%
    2–32.5%
    2–4+1.2%
    3
    3–02.4%
    3–13.3%
    3–22.3%
    3–31.1%
    3–4+0.5%
    4+
    4+–01.0%
    4+–11.4%
    4+–21.0%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-19%
    3. 3.1-29%
    4. 4.1-08%
    5. 5.2-18%
    Expected goals
    1,26–1,39
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    –
    Over 2,550%
    –

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    01 · 2 legs

    Safe

    • Double chance GAIS or draw (X2)66%
    • Under 3.5 goals72%

    Combined probability

    48%

    Fair odds

    2.08

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

    02 · 3 legs

    Balanced

    • Double chance GAIS or draw (X2)66%
    • Under 2.5 goals50%
    • Rasmus Niklasson Petrovic to score28%

    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 score54%
    • Over 2.5 goals50%
    • Rasmus Niklasson Petrovic to score28%
    • Carl Gustafsson 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

    No odds available yet.

    Statistics

    Head-to-head

    3 matches
    Kalmar FF 0Draw 1GAIS 2
    Goals: 3–7 (⌀ 3,3)

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

    xG & xGA per match — 3-game rolling average

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

    Kalmar FF
    GAIS
    When goals are scored and conceded — 2026
    Kalmar FF (23–38)
    GAIS (30–25)
    Pass networks

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

    Kalmar FF
    Jesper Löfgren: 249 passningar, xT 0.27LöfgrenCarl Gustafsson: 232 passningar, xT 1.02GustafssonVictor Larsson: 207 passningar, xT 0.17LarssonMiska Ylitolva: 199 passningar, xT 0.58YlitolvaAboubacar Keita: 156 passningar, xT 0.23KeitaCharles Sagoe Jr: 135 passningar, xT 1.51JrMelker Hallberg: 109 passningar, xT 1.18HallbergSamuel Brolin: 96 passningar, xT 0.22BrolinTobias Lauritsen: 94 passningar, xT 0.42LauritsenMarius Söderbäck: 90 passningar, xT 0.96SöderbäckLars Sætra: 73 passningar, xT 0.08Sætra
    GAIS
    Oskar Ågren: 296 passningar, xT 0.41ÅgrenJoackim Fagerjord: 265 passningar, xT 0.2FagerjordFilip Beckman: 235 passningar, xT 0.23BeckmanRobin Frej: 219 passningar, xT 0.52FrejMatteo De Brienne: 195 passningar, xT 0.65BrienneAugust Wängberg: 150 passningar, xT 0.23WängbergHenry Sletsjøe: 120 passningar, xT 0SletsjøeRobin Wendin Thomasson: 103 passningar, xT 0.86ThomassonAnes Cardaklija: 102 passningar, xT 0.09CardaklijaWilliam Milovanovic: 74 passningar, xT 1.08MilovanovicMergim Krasniqi: 73 passningar, xT 0.13Krasniqi
    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
    Jesper Löfgren: 249 passningar, xT 0.27LöfgrenCarl Gustafsson: 232 passningar, xT 1.02GustafssonVictor Larsson: 207 passningar, xT 0.17LarssonMiska Ylitolva: 199 passningar, xT 0.58YlitolvaAboubacar Keita: 156 passningar, xT 0.23KeitaCharles Sagoe Jr: 135 passningar, xT 1.51JrMelker Hallberg: 109 passningar, xT 1.18HallbergSamuel Brolin: 96 passningar, xT 0.22BrolinTobias Lauritsen: 94 passningar, xT 0.42LauritsenMarius Söderbäck: 90 passningar, xT 0.96SöderbäckLars Sætra: 73 passningar, xT 0.08Sætra
    GAIS
    Oskar Ågren: 296 passningar, xT 0.41ÅgrenJoackim Fagerjord: 265 passningar, xT 0.2FagerjordFilip Beckman: 235 passningar, xT 0.23BeckmanRobin Frej: 219 passningar, xT 0.52FrejMatteo De Brienne: 195 passningar, xT 0.65BrienneAugust Wängberg: 150 passningar, xT 0.23WängbergHenry Sletsjøe: 120 passningar, xT 0SletsjøeRobin Wendin Thomasson: 103 passningar, xT 0.86ThomassonAnes Cardaklija: 102 passningar, xT 0.09CardaklijaWilliam Milovanovic: 74 passningar, xT 1.08MilovanovicMergim Krasniqi: 73 passningar, xT 0.13Krasniqi

    The teams in numbers

    PerformanceKalmar FFGAIS
    Points2230
    xPoints33.537.3
    xG per match1.31.6
    xGA per match1.21.2
    xG within 8s of winning the ball0.250.44
    xGA within 8s of losing the ball0.190.15
    Playing styleKalmar FFGAIS
    Build-up efficiency0.310.33
    Field tilt0.480.56
    xT per match1.51.6
    xTA per match1.21.2
    Won balls, offensive half3138
    Pressing intensity0.520.51
    Pressing efficiency0.220.25
    Pressing efficiency, offensive half0.230.25
    Entries into the box per match1617
    Entries into the box against1412
    Pass completion %0.820.81
    Pass completion % under pressure0.770.76
    Passes per match397424
    Passes against per match454399
    Switches of play per match13.612.5
    Long balls per match2927
    Set piecesKalmar FFGAIS
    xG from free kicks0.120.16
    Corners per match4.85.2
    Corners against per match5.74.5
    xG per corner0.020.02
    xGA per corner against0.020.02
    First touch, offensive corners %0.390.39
    First touch, defensive corners %0.630.67
    OtherKalmar FFGAIS
    Throw-in control0.620.62
    The goalkeepersSamuel Brolin (Kalmar FF)Mergim Krasniqi (GAIS)
    Saves6255
    Save %71%76%
    xG prevented51%47%
    Claims95 (90%)96 (94%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Kalmar FF vs GAIS according to our model?

    The model gives GAIS a 40% win probability. Full 1X2 picture: Kalmar FF 34%, draw 26%, GAIS 40%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% 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 54% according to the model.

    How many goals are expected in Kalmar FF vs GAIS?

    The model expects 1.26 goals (xG) for Kalmar FF and 1.39 for GAIS, 2.66 in total.

    What does the model say about double chance?

    Kalmar FF or draw (1X) 60%, GAIS or draw (X2) 66% 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.