Swedish AllsvenskanEleda Stadion, Malmö16°1,3 mm23 km/h

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    Malmö FFMalmö FFPossession & high press
    vs
    ÖrgryteÖrgryteBalanced & physical
    The model's lean: 1 · Malmö FF (65%)Best value by the model: 2 · Örgryte @ 7.65 (+22 %)

    Malmö FFÖrgryte · Swedish Allsvenskan

    1 · Malmö FF 65%X 19%16% Örgryte · 2

    Analysis: Malmö FFÖrgryte

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

    Malmö FF enters this home fixture with a formidable 65% win probability, underpinned by a high-press possession strategy. Their expected goals tally of 2.17 dwarfs Örgryte's 1.06, illustrating a clear offensive edge. The hosts have a history of success in their hometown, securing victories in 62% of their past 55 home matches. Against an Örgryte side whose balanced yet physical approach is unlikely to thrive under Malmö’s relentless press, the odds favor a Malmö advantage.

    While Malmö's overall season form, with 29 points and superior xPoints of 24.1, suggests dominance, the single head-to-head since 2023—a draw—warns of potential surprises. However, the small sample size diminishes its predictive power compared to Malmö's consistent form and expected goals statistics. Thus, the 2-1 and 2-0 scorelines emerge as logical predictions, each within the 9-10% probability range.

    Weather could play a subtle role, with light rain potentially dampening goal-scoring chances slightly. Yet, this has been factored into the predictive model, which still leans towards a relatively high 63% over 2.5 goals likelihood. Moreover, with a 58% chance for both teams to score, a tighter contest than the odds suggest cannot be completely ruled out.

    Notably, despite Malmö's strong profile, the odds offer intriguing value for Örgryte. Betsafe, Betsson, and Nordicbet each provide odds of 7.65 for an Örgryte victory. The model rates this outcome at 16%, presenting a 22% value edge. For those seeking a high-risk, high-reward punt, this represents a rare opportunity against the backdrop of Malmö's statistical upper hand.

    Malmö FFMalmö FF
    Form LWLWD
    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
    • Sead HaksabanovicCAMxG 0.20 · xT 0.31
    ÖrgryteÖrgryte
    Form LLDLD
    League ranking xG #14xGA #15xT #14xP/match #12Points #15
    Key players
    • Noah ChristofferssonFxG 0.39 · xT 0.03
    • Adam AnderssonRWxG 0.05 · xT 0.25
    • William HofvanderRWxG 0.20 · xT 0.18

    Match prediction: Malmö FFÖrgryte

    Predicted score matrix

    Örgryte
    Malmö FF
    0
    1
    2
    3
    4+
    0
    0–04.2%
    0–13.9%
    0–22.2%
    0–30.8%
    0–4+0.3%
    1
    1–08.3%
    1–19.3%
    1–24.8%
    1–31.7%
    1–4+0.6%
    2
    2–09.3%
    2–19.9%
    2–25.2%
    2–31.9%
    2–4+0.6%
    3
    3–06.7%
    3–17.1%
    3–23.8%
    3–31.3%
    3–4+0.4%
    4+
    4+–06.1%
    4+–16.4%
    4+–23.4%
    4+–31.2%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.1-19%
    3. 3.2-09%
    4. 4.1-08%
    5. 5.3-17%
    Expected goals
    2,171,06
    Both teams to score
    58%

    Over/under goals

    Expected goals: 3,2
    Under 2,537%
    @2.62
    Over 2,563%
    @1.46

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Malmö FF to win65%
    • Over 1.5 goals84%

    Combined probability

    54%

    Fair odds

    1.85

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

    02 · 3 legs

    Balanced

    • Malmö FF to win65%
    • Over 2.5 goals63%
    • Erik Botheim to score38%

    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 score58%
    • Over 2.5 goals63%
    • Erik Botheim to score38%
    • Owen Parker-Price 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

    The model's value spots

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

    • 2 · Örgryte16% probability@7.65BetsafeEV+22%reference odds
    • 2 · Örgryte16% probability@7.65BetssonEV+22%reference odds
    • 2 · Örgryte16% probability@7.65NordicbetEV+22%reference odds
    Bookmaker1 · Malmö FFX2 · Örgryte
    Betfair Exchange1.101.101.10
    Betsafe1.414.71
    EV+ 22%
    7.65
    Betsson1.414.71
    EV+ 22%
    7.65
    Nordicbet1.414.71
    EV+ 22%
    7.65
    Pinnacle1.37
    EV+ 1%
    5.19
    EV+ 9%
    6.81

    Odds updated 11 Sept, 14:40

    Statistics

    Head-to-head

    1 matches
    Malmö FF 0Draw 1Örgryte 0
    Goals: 11 (⌀ 2)

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

    Key facts

    • Malmö FF win 62% of their home matches all-time (55 played).
    xG & xGA per match — 3-game rolling average

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

    Malmö FF
    Örgryte
    When goals are scored and conceded 2026
    Malmö FF (3330)
    Örgryte (2343)
    Pass networks

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

    Malmö FF
    Andrej Đurić: 330 passningar, xT 0.25ĐurićSead Haksabanovic: 240 passningar, xT 1.38HaksabanovicJens Stryger Larsen: 228 passningar, xT 0.9LarsenGabriel Dal Toe Busanello: 211 passningar, xT 0.74BusanelloMalte Frejd Pålsson: 211 passningar, xT 0.28PålssonOtto Rosengren: 185 passningar, xT 0.26RosengrenAdrian Skogmar: 185 passningar, xT 0.22SkogmarTheodor Lundbergh: 143 passningar, xT 0.56LundberghKenan Busuladzic: 129 passningar, xT 0.8BusuladzicStian Rode Gregersen: 121 passningar, xT 0.11GregersenRobin Olsen: 85 passningar, xT 0.17Olsen
    Örgryte
    Owen Parker-Price: 241 passningar, xT 1.07Parker-PriceBenjamin Laturnus: 181 passningar, xT 0.61LaturnusMikael Dyrestam: 181 passningar, xT 0.1DyrestamChristoffer Styffe: 172 passningar, xT 0.22StyffeTobias Sana: 153 passningar, xT 0.57SanaJohan Hammar: 130 passningar, xT 0.15HammarAdam Andersson: 117 passningar, xT 0.57AnderssonSebastian Lagerlund: 108 passningar, xT 0.12LagerlundDaniel Paulson: 100 passningar, xT 0.49PaulsonWilliam Hofvander: 62 passningar, xT 0.31HofvanderMichael Parker: 58 passningar, xT 0.2Parker
    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: 330 passningar, xT 0.25ĐurićSead Haksabanovic: 240 passningar, xT 1.38HaksabanovicJens Stryger Larsen: 228 passningar, xT 0.9LarsenGabriel Dal Toe Busanello: 211 passningar, xT 0.74BusanelloMalte Frejd Pålsson: 211 passningar, xT 0.28PålssonOtto Rosengren: 185 passningar, xT 0.26RosengrenAdrian Skogmar: 185 passningar, xT 0.22SkogmarTheodor Lundbergh: 143 passningar, xT 0.56LundberghKenan Busuladzic: 129 passningar, xT 0.8BusuladzicStian Rode Gregersen: 121 passningar, xT 0.11GregersenRobin Olsen: 85 passningar, xT 0.17Olsen
    Örgryte
    Owen Parker-Price: 241 passningar, xT 1.07Parker-PriceBenjamin Laturnus: 181 passningar, xT 0.61LaturnusMikael Dyrestam: 181 passningar, xT 0.1DyrestamChristoffer Styffe: 172 passningar, xT 0.22StyffeTobias Sana: 153 passningar, xT 0.57SanaJohan Hammar: 130 passningar, xT 0.15HammarAdam Andersson: 117 passningar, xT 0.57AnderssonSebastian Lagerlund: 108 passningar, xT 0.12LagerlundDaniel Paulson: 100 passningar, xT 0.49PaulsonWilliam Hofvander: 62 passningar, xT 0.31HofvanderMichael Parker: 58 passningar, xT 0.2Parker

    The teams in numbers

    PerformanceMalmö FFÖrgryte
    Points2915
    xPoints24.121.6
    xG per match1.41
    xGA per match1.31.9
    xG within 8s of winning the ball0.240.19
    xGA within 8s of losing the ball0.290.32
    Playing styleMalmö FFÖrgryte
    Build-up efficiency0.350.36
    Field tilt0.580.33
    xT per match1.31.2
    xTA per match1.41.6
    Won balls, offensive half2626
    Pressing intensity0.480.5
    Pressing efficiency0.240.2
    Pressing efficiency, offensive half0.260.23
    Entries into the box per match1613
    Entries into the box against1517
    Pass completion %0.840.78
    Pass completion % under pressure0.80.74
    Passes per match457337
    Passes against per match334488
    Switches of play per match14.315.6
    Long balls per match3427
    Set piecesMalmö FFÖrgryte
    xG from free kicks0.240.11
    Corners per match4.54
    Corners against per match5.76.3
    xG per corner0.040.03
    xGA per corner against0.030.03
    First touch, offensive corners %0.590.44
    First touch, defensive corners %0.510.58
    OtherMalmö FFÖrgryte
    Throw-in control0.580.57
    The goalkeepersRobin Olsen (Malmö FF)Hampus Gustafsson (Örgryte)
    Saves4079
    Save %77%65%
    xG prevented62%37%
    Claims56 (89%)116 (89%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Malmö FF vs Örgryte according to our model?

    The model gives Malmö FF a 65% win probability. Full 1X2 picture: Malmö FF 65%, draw 19%, Örgryte 16%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 63% and under at 37%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.