Swedish AllsvenskanGamla Ullevi, Göteborg18°29 km/h

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    GAISGAISPossession & high press
    vs
    Malmö FFMalmö FFPossession & high press
    The model's lean: 1 · GAIS (41%)Best value by the model: 2 · Malmö FF @ 3.14 (+6 %)

    GAISMalmö FF · Swedish Allsvenskan

    1 · GAIS 41%X 25%34% Malmö FF · 2

    Analysis: GAISMalmö FF

    Sofia Andersson · · How the predictions work

    Forty-one percent. That's the model's nod to Gais as they prepare to host Malmö FF, suggesting a match teetering on the edge of balance but with a subtle lean towards the home side. The history between these two since 2023, though limited to five matches, tells a different tale: Malmö FF remain undefeated, with three wins and two draws. Yet, the numbers whisper a shift in the wind, pointing towards Gais, buoyed by a possession-heavy, high-press style that matches Malmö's own game.

    Gais have emerged as a statistical enigma this season, their xG of 1.8 per match outstripping Malmö's 1.5. Add to that a sharper defensive record with an xGA of 1.1 compared to Malmö's 1.3, and it's clear why the model favors the home side. Gais's ability to generate an xG of 0.52 within eight seconds of winning the ball, double that of Malmö's 0.24, highlights their prowess in transition—a critical factor against a team adept at maintaining possession.

    Malmö FF, though, are not without their own merits. They have scored in 22 consecutive league matches, a testament to their attacking consistency. Despite the model's lean towards Gais, Malmö's unbeaten streak in the head-to-head matchups cannot be ignored, and with a 34% probability backing them, there’s a tempting value play with odds at 3.14 from Pinnacle.

    The model’s most likely scorelines are intriguingly close, with a 1-1 draw at 12%, a 2-1 win for Gais at 9%, and a 1-0 triumph for Gais at 8%. The over 2.5 goals scenario stands at 56%, suggesting a game that might just defy the odds and delight the neutrals. But the undercurrent remains: Malmö, despite recent form, carries a value edge with several bookmakers, including Betsafe and Betsson, both offering odds at 3.09. Savvy punters might find this a calculated risk worth taking, especially if Malmö can extend their scoring streak against a Gais side eager to flip the script.

    GAISGAIS
    Form DWLDW
    League ranking xG #4xGA #3xT #2xP/match #2Points #8
    Key players
    • Róbert Frosti ÞorkelssonLWxG 0.32 · xT 0.26
    • Samuel SalterFxG 0.54 · xT 0.05
    • Rasmus Niklasson PetrovicLWxG 0.33 · xT 0.21
    Malmö FFMalmö FF
    Form WDLWL
    League ranking xG #6xGA #8xT #11xP/match #10Points #9
    Key players
    • Taha Abdi AliLWxG 0.10 · xT 0.23
    • Erik BotheimFxG 0.53 · xT -0.04
    • Malte Frejd PålssonCBxG 0.03 · xT 0.16

    Match prediction: GAISMalmö FF

    Predicted score matrix

    Malmö FF
    GAIS
    0
    1
    2
    3
    4+
    0
    0–05.6%
    0–16.7%
    0–24.6%
    0–32.0%
    0–4+0.9%
    1
    1–08.3%
    1–111.6%
    1–27.5%
    1–33.3%
    1–4+1.4%
    2
    2–06.9%
    2–19.2%
    2–26.0%
    2–32.7%
    2–4+1.2%
    3
    3–03.7%
    3–14.9%
    3–23.3%
    3–31.4%
    3–4+0.6%
    4+
    4+–02.2%
    4+–12.9%
    4+–21.9%
    4+–30.8%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-08%
    4. 4.1-27%
    5. 5.2-07%
    Expected goals
    1,621,32
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @2.22
    Over 2,556%
    @1.65

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance GAIS or draw (1X)69%
    • Over 1.5 goals79%

    Combined probability

    55%

    Fair odds

    1.81

    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 (1X)69%
    • Over 2.5 goals56%
    • Henry Sletsjøe to score22%

    Combined probability

    8%

    Fair odds

    12.23

    Result and goals are priced jointly from the matrix; the scorer is the model's most likely in the picked side.

    03 · 4 legs

    Bold

    • Both teams to score59%
    • Over 2.5 goals56%
    • Henry Sletsjøe to score22%
    • Otto Rosengren to be booked21%

    Combined probability

    2%

    Fair odds

    44.03

    The goal-fest: both teams score with at least three goals — combined with the match's most likely scorer and card candidate.

    Odds & value

    The model's value spots

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

    • 2 · Malmö FF34% probability@3.14PinnacleEV+6%
    • 2 · Malmö FF34% probability@3.09BetsafeEV+4%
    • 2 · Malmö FF34% probability@3.09BetssonEV+4%
    Bookmaker1 · GAISX2 · Malmö FF
    Betsafe2.193.67
    EV+ 4%
    3.09
    Betsson2.193.67
    EV+ 4%
    3.09
    Nordicbet2.193.67
    EV+ 4%
    3.09
    Pinnacle2.163.60
    EV+ 6%
    3.14

    Odds updated 14 Aug, 08:36

    Odds movement

    1+2 %
    46 %41 %

    2.112.16

    X0 %
    29 %24 %

    3.613.60

    2+1 %
    32 %27 %

    3.123.14

    Over 2,5+1 %
    60 %55 %

    1.631.65

    Pinnacle · 3 recorded price levels · 09/08/2026 → 12/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    GAIS 0Draw 2Malmö FF 3
    Goals: 26 (⌀ 1,6)

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

    Key facts

    • Malmö FF dominate this fixture historically: 3 wins to 0 in 5 meetings.
    • Malmö FF have scored in 22 consecutive league matches.
    • GAIS win 55% of their home matches all-time (38 played).
    xG & xGA per match — 3-game rolling average

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

    GAIS
    Malmö FF
    When goals are scored and conceded 2026
    GAIS (2115)
    Malmö FF (3127)
    Pass networks

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

    GAIS
    Oskar Ågren: 283 passningar, xT 0.43ÅgrenFilip Beckman: 243 passningar, xT 0.2BeckmanRobin Frej: 228 passningar, xT 0.14FrejJoackim Fagerjord: 209 passningar, xT 0.39FagerjordMatteo De Brienne: 164 passningar, xT 0.94BrienneHenry Sletsjøe: 160 passningar, xT 0.38SletsjøeAnes Cardaklija: 157 passningar, xT 0.31CardaklijaRóbert Frosti Þorkelsson: 129 passningar, xT 1.52ÞorkelssonAugust Wängberg: 127 passningar, xT 0.23WängbergRobin Wendin Thomasson: 116 passningar, xT 0.59ThomassonMax Andersson: 106 passningar, xT 0.74Andersson
    Malmö FF
    Malte Frejd Pålsson: 347 passningar, xT 0.37PålssonAndrej Đurić: 336 passningar, xT 0.34ĐurićSead Haksabanovic: 297 passningar, xT 1.94HaksabanovicOtto Rosengren: 289 passningar, xT 0.45RosengrenJens Stryger Larsen: 282 passningar, xT 1.61LarsenNoah Åstrand John: 231 passningar, xT 0.45JohnTheodor Lundbergh: 167 passningar, xT -0.11LundberghKenan Busuladzic: 167 passningar, xT 0.47BusuladzicAdrian Skogmar: 160 passningar, xT -0.01SkogmarBleon Kurtulus: 138 passningar, xT 0.07KurtulusRobin Olsen: 105 passningar, xT 0.13Olsen
    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.

    GAIS
    Oskar Ågren: 283 passningar, xT 0.43ÅgrenFilip Beckman: 243 passningar, xT 0.2BeckmanRobin Frej: 228 passningar, xT 0.14FrejJoackim Fagerjord: 209 passningar, xT 0.39FagerjordMatteo De Brienne: 164 passningar, xT 0.94BrienneHenry Sletsjøe: 160 passningar, xT 0.38SletsjøeAnes Cardaklija: 157 passningar, xT 0.31CardaklijaRóbert Frosti Þorkelsson: 129 passningar, xT 1.52ÞorkelssonAugust Wängberg: 127 passningar, xT 0.23WängbergRobin Wendin Thomasson: 116 passningar, xT 0.59ThomassonMax Andersson: 106 passningar, xT 0.74Andersson
    Malmö FF
    Malte Frejd Pålsson: 347 passningar, xT 0.37PålssonAndrej Đurić: 336 passningar, xT 0.34ĐurićSead Haksabanovic: 297 passningar, xT 1.94HaksabanovicOtto Rosengren: 289 passningar, xT 0.45RosengrenJens Stryger Larsen: 282 passningar, xT 1.61LarsenNoah Åstrand John: 231 passningar, xT 0.45JohnTheodor Lundbergh: 167 passningar, xT -0.11LundberghKenan Busuladzic: 167 passningar, xT 0.47BusuladzicAdrian Skogmar: 160 passningar, xT -0.01SkogmarBleon Kurtulus: 138 passningar, xT 0.07KurtulusRobin Olsen: 105 passningar, xT 0.13Olsen

    The teams in numbers

    PerformanceGAISMalmö FF
    Points2323
    xPoints27.721.5
    xG per match1.81.5
    xGA per match1.11.3
    xG within 8s of winning the ball0.520.24
    xGA within 8s of losing the ball0.130.3
    Playing styleGAISMalmö FF
    Build-up efficiency0.330.35
    Field tilt0.570.59
    xT per match1.61.3
    xTA per match1.31.4
    Won balls, offensive half4027
    Pressing intensity0.50.51
    Pressing efficiency0.250.24
    Pressing efficiency, offensive half0.250.26
    Entries into the box per match1717
    Entries into the box against1214
    Pass completion %0.80.85
    Pass completion % under pressure0.760.81
    Passes per match420468
    Passes against per match396321
    Switches of play per match12.615
    Long balls per match2736
    Set piecesGAISMalmö FF
    xG from free kicks0.180.28
    Corners per match5.64.7
    Corners against per match4.55.4
    xG per corner0.020.04
    xGA per corner against0.010.03
    First touch, offensive corners %0.340.58
    First touch, defensive corners %0.70.53
    OtherGAISMalmö FF
    Throw-in control0.610.59
    The goalkeepersMergim Krasniqi (GAIS)Robin Olsen (Malmö FF)
    Saves3025
    Save %81%74%
    xG prevented57%64%
    Claims53 (93%)39 (95%)

    Frequently asked questions

    Who wins GAIS vs Malmö FF according to our model?

    The model gives GAIS a 41% win probability. Full 1X2 picture: GAIS 41%, draw 25%, Malmö FF 34%.

    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 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 59% 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.