Swedish AllsvenskanEleda Stadion, Malmö18°22 km/h

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    Malmö FFMalmö FFPossession & high press
    vs
    AIKAIKPossession & high press
    The model's lean: 1 · Malmö FF (50%)Best value by the model: 2 · AIK @ 4.26 (+7 %)

    Malmö FFAIK · Swedish Allsvenskan

    1 · Malmö FF 50%X 25%25% AIK · 2

    Analysis: Malmö FFAIK

    Marcus Johansson · · Analysis from the match model · How the predictions work

    TEXT: Malmö FF's historical dominance over AIK in their recent meetings suggests a psychological edge, yet AIK's current three-game winning streak introduces a layer of complexity. The model gives Malmö a 50% chance of securing victory at home, where they win 63% of the time across 54 matches. However, AIK's recent form can't be overlooked, even if their expected points trail behind Malmö.

    Both teams favor a high-pressing, possession-based approach, pointing towards an intense midfield battle. While Malmö's xPoints (24.1) and xG per match (1.4) suggest they should be higher on the table, AIK's ability to convert their chances into points has given them a slight advantage in the standings. The expected goals for this match lean towards Malmö at 1.95 compared to AIK's 1.19, reflecting the home side's slightly sharper attacking edge.

    The small head-to-head sample since 2023, with Malmö recording 3 wins and 4 draws, indicates an edge, but it's AIK's recent form that might disrupt this pattern. With both teams scoring in 60% of matches and over 2.5 goals in 61%, goals are likely, consistent with both sides' high-pressing, attacking style.

    From a betting angle, the away win at odds of 4.26 with Betsafe, Betsson, and Nordicbet offers a 7% value edge according to the model's 25% probability assessment. It's a risky play against Malmö's strong home record, but AIK's form suggests the potential for an upset.

    The most probable outcome remains a Malmö win or a draw, with the model favoring scorelines of 1-1 or 2-1. Yet, the sharpest angle here lies in the value on AIK's win at 4.26, a bet that might just profit from their recent momentum.

    Malmö FFMalmö FF
    Form WLWLW
    League ranking xG #7xGA #9xT #12xP/match #10Points #7
    Key players
    • Taha Abdi AliLWxG 0.10 · xT 0.23
    • Erik BotheimFxG 0.48 · xT -0.03
    • Otto RosengrenCDMxG 0.11 · xT 0.13
    AIKAIK
    Form DLWWW
    League ranking xG #11xGA #14xT #10xP/match #13Points #6
    Key players
    • Zadok YohannaRWxG 0.35 · xT 0.18
    • Bersant CelinaLWxG 0.12 · xT 0.28
    • Taha AyariFxG 0.20 · xT 0.09

    Match prediction: Malmö FFAIK

    Predicted score matrix

    AIK
    Malmö FF
    0
    1
    2
    3
    4+
    0
    0–04.6%
    0–14.9%
    0–23.1%
    0–31.2%
    0–4+0.5%
    1
    1–08.1%
    1–110.3%
    1–26.0%
    1–32.4%
    1–4+0.9%
    2
    2–08.2%
    2–19.8%
    2–25.8%
    2–32.3%
    2–4+0.9%
    3
    3–05.3%
    3–16.4%
    3–23.8%
    3–31.5%
    3–4+0.6%
    4+
    4+–04.0%
    4+–14.8%
    4+–22.9%
    4+–31.1%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-110%
    3. 3.2-08%
    4. 4.1-08%
    5. 5.3-16%
    Expected goals
    1,951,19
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,1
    Under 2,539%
    @2.48
    Over 2,561%
    @1.50

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Malmö FF to win50%
    • Over 1.5 goals82%

    Combined probability

    46%

    Fair odds

    2.16

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

    02 · 3 legs

    Balanced

    • Malmö FF to win50%
    • Over 2.5 goals61%
    • Oscar Sjöstrand 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 score60%
    • Over 2.5 goals61%
    • Oscar Sjöstrand to score25%
    • Dino Besirovic 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 · AIK25% probability@4.26BetsafeEV+7%reference odds
    • 2 · AIK25% probability@4.26BetssonEV+7%reference odds
    • 2 · AIK25% probability@4.26NordicbetEV+7%reference odds
    Bookmaker1 · Malmö FFX2 · AIK
    Betfair Exchange1.101.101.10
    Betsafe1.773.98
    EV+ 7%
    4.26
    Betsson1.773.98
    EV+ 7%
    4.26
    Nordicbet1.773.98
    EV+ 7%
    4.26
    Pinnacle1.74
    EV+ 4%
    4.18
    EV+ 1%
    4.03

    Odds updated 6 Sept, 06:33

    Odds movement

    1+2 %
    57 %52 %

    1.711.74

    X-1 %
    25 %20 %

    4.224.18

    2-2 %
    25 %20 %

    4.134.03

    Pinnacle · 6 recorded price levels · 01/09/2026 → 06/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    7 matches
    Malmö FF 3Draw 4AIK 0
    Goals: 91 (⌀ 1,4)

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

    Key facts

    • Malmö FF dominate this fixture historically: 3 wins to 0 in 7 meetings.
    • AIK come into this round on 3 straight wins.
    • Malmö FF win 63% of their home matches all-time (54 played).
    xG & xGA per match — 3-game rolling average

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

    Malmö FF
    AIK
    When goals are scored and conceded 2026
    Malmö FF (3330)
    AIK (2827)
    Pass networks

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

    Malmö FF
    Andrej Đurić: 350 passningar, xT 0.2ĐurićSead Haksabanovic: 233 passningar, xT 1.55HaksabanovicJens Stryger Larsen: 215 passningar, xT 1.01LarsenMalte Frejd Pålsson: 211 passningar, xT 0.28PålssonOtto Rosengren: 207 passningar, xT 0.46RosengrenGabriel Dal Toe Busanello: 183 passningar, xT 0.26BusanelloAdrian Skogmar: 171 passningar, xT 0.14SkogmarKenan Busuladzic: 147 passningar, xT 0.75BusuladzicTheodor Lundbergh: 128 passningar, xT 0.48LundberghRobin Olsen: 96 passningar, xT 0.17OlsenAnton Höög: 89 passningar, xT -0.07Höög
    AIK
    Hervé Matthys: 349 passningar, xT 0.52MatthysMads Døhr Thychosen: 203 passningar, xT 1.85ThychosenWilmer Olofsson: 196 passningar, xT 0.23OlofssonDino Besirovic: 195 passningar, xT 0.77BesirovicLukas Bergquist: 185 passningar, xT 0.07BergquistAbdihakin Ali: 141 passningar, xT -0.03AliKristoffer Nordfeldt: 128 passningar, xT 0.14NordfeldtAmel Mujanic: 90 passningar, xT 0.15MujanicJohan Hove: 82 passningar, xT 0.12HoveKevin Filling: 81 passningar, xT 1.13FillingYannick Geiger: 73 passningar, xT 0.07Geiger
    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.

    Malmö FF
    Andrej Đurić: 350 passningar, xT 0.2ĐurićSead Haksabanovic: 233 passningar, xT 1.55HaksabanovicJens Stryger Larsen: 215 passningar, xT 1.01LarsenMalte Frejd Pålsson: 211 passningar, xT 0.28PålssonOtto Rosengren: 207 passningar, xT 0.46RosengrenGabriel Dal Toe Busanello: 183 passningar, xT 0.26BusanelloAdrian Skogmar: 171 passningar, xT 0.14SkogmarKenan Busuladzic: 147 passningar, xT 0.75BusuladzicTheodor Lundbergh: 128 passningar, xT 0.48LundberghRobin Olsen: 96 passningar, xT 0.17OlsenAnton Höög: 89 passningar, xT -0.07Höög
    AIK
    Hervé Matthys: 349 passningar, xT 0.52MatthysMads Døhr Thychosen: 203 passningar, xT 1.85ThychosenWilmer Olofsson: 196 passningar, xT 0.23OlofssonDino Besirovic: 195 passningar, xT 0.77BesirovicLukas Bergquist: 185 passningar, xT 0.07BergquistAbdihakin Ali: 141 passningar, xT -0.03AliKristoffer Nordfeldt: 128 passningar, xT 0.14NordfeldtAmel Mujanic: 90 passningar, xT 0.15MujanicJohan Hove: 82 passningar, xT 0.12HoveKevin Filling: 81 passningar, xT 1.13FillingYannick Geiger: 73 passningar, xT 0.07Geiger

    The teams in numbers

    PerformanceMalmö FFAIK
    Points2931
    xPoints24.118.9
    xG per match1.41.2
    xGA per match1.31.8
    xG within 8s of winning the ball0.240.24
    xGA within 8s of losing the ball0.290.4
    Playing styleMalmö FFAIK
    Build-up efficiency0.350.34
    Field tilt0.580.53
    xT per match1.31.3
    xTA per match1.41.4
    Won balls, offensive half2629
    Pressing intensity0.480.52
    Pressing efficiency0.240.23
    Pressing efficiency, offensive half0.260.22
    Entries into the box per match1613
    Entries into the box against1514
    Pass completion %0.840.81
    Pass completion % under pressure0.80.76
    Passes per match457394
    Passes against per match334362
    Switches of play per match14.315.5
    Long balls per match3436
    Set piecesMalmö FFAIK
    xG from free kicks0.240.09
    Corners per match4.54.9
    Corners against per match5.75
    xG per corner0.040.02
    xGA per corner against0.030.03
    First touch, offensive corners %0.590.31
    First touch, defensive corners %0.510.58
    OtherMalmö FFAIK
    Throw-in control0.580.6
    The goalkeepersRobin Olsen (Malmö FF)Kristoffer Nordfeldt (AIK)
    Saves3762
    Save %76%73%
    xG prevented61%63%
    Claims51 (90%)50 (88%)

    Frequently asked questions

    Who wins Malmö FF vs AIK according to our model?

    The model gives Malmö FF a 50% win probability. Full 1X2 picture: Malmö FF 50%, draw 25%, AIK 25%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 61% and under at 39%.

    Will both teams score?

    The probability of both teams scoring is 60% 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.