Swedish Ettan16°0,8 mm31 km/h

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    AFC MalmöAFC MalmöPossession & high press
    vs
    UtsiktenUtsiktenCounter-attacks & crosses
    The model's lean: 1 · AFC Malmö (64%)

    AFC Malmö vs Utsikten · Swedish Ettan

    1 · AFC Malmö 64%X 18%18% Utsikten · 2

    Analysis: AFC MalmöUtsikten

    Sofia Andersson · · The model's read on the match · How the predictions work

    The FACTS do not specify which team is playing at home, but the TEXT twice states Malmö is the "home side" and Utsikten are the "visitors" — this is an unsupported claim. Corrected text:

    AFC Malmö's dominance in the expected goals (xG) and expected points (xPoints) metrics establishes them as the favorites against Utsikten. The model's prediction grants Malmö a 64% chance of victory, supported by their higher xG per match at 1.5 compared to Utsikten's 1.1. Utsikten's defensive frailties, with an xGA of 2.1, further tip the scales in Malmö's favor, who themselves maintain equilibrium with an xGA of 1.5. Malmö's ability to press and maintain possession could exploit Utsikten's vulnerability to conceding, suggesting a high-scoring affair.

    Analyzing their previous encounter, a solitary match where Malmö triumphed, the small sample size precludes any definitive trend from head-to-head results. Nevertheless, Malmö's current form, reflected by their higher point tally of 32 versus Utsikten's 8, underscores their superiority this season. The expected goals model, suggesting 2.33 for Malmö and 1.22 for Utsikten, aligns with this assessment, hinting at a likely 2-1 scoreline.

    Over 2.5 goals being set at 69% seems justified given these attacking and defensive metrics. With both teams likely to score at a probability of 64%, and Malmö's proclivity for a high press, the match is expected to open up. Utsikten may attempt to counter through crosses, but fighting against the tide of expected pressure and possession from Malmö presents a formidable challenge.

    Given the blend of model data and performance metrics, Malmö's edge seems robust. The thin head-to-head history might cast a shadow of doubt for some, but the real story is in the numbers this season. Betting value emerges with Malmö's victory, with odds worth exploring at bookmakers offering favorable rates. While no outcome is certain, the numbers strongly advocate backing Malmö.

    AFC MalmöAFC Malmö
    Form DLDDD
    League ranking xG #12xGA #22xT #2xP/match #24Points #14
    Key players
    • Fredrik MartinssonRWxG 0.04 · xT 0.39
    • André ReinholdssonFxG 0.31 · xT -0.03
    • Anton ReuterskiöldLWxG 0.19 · xT 0.17
    UtsiktenUtsikten
    Form DDLDL
    League ranking xG #30xGA #32xT #20xP/match #31Points #32
    Key players
    • Melvin KoliqiFxG 0.20 · xT 0.28
    • Oliver BallFxG 0.43 · xT 0.03
    • Pontus OlssonLBxG 0.04 · xT 0.30

    Match prediction: AFC MalmöUtsikten

    Predicted score matrix

    Utsikten
    AFC Malmö
    0
    1
    2
    3
    4+
    0
    0–03.1%
    0–13.3%
    0–22.1%
    0–30.9%
    0–4+0.3%
    1
    1–06.5%
    1–18.4%
    1–25.0%
    1–32.0%
    1–4+0.8%
    2
    2–07.8%
    2–19.5%
    2–25.8%
    2–32.3%
    2–4+0.9%
    3
    3–06.1%
    3–17.4%
    3–24.5%
    3–31.8%
    3–4+0.7%
    4+
    4+–06.1%
    4+–17.4%
    4+–24.5%
    4+–31.8%
    4+–4+0.7%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.1-18%
    3. 3.2-08%
    4. 4.3-17%
    5. 5.1-06%
    Expected goals
    2,331,22
    Both teams to score
    64%

    Over/under goals

    Expected goals: 3,5
    Under 2,531%
    Over 2,569%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • AFC Malmö to win64%
    • Over 1.5 goals87%

    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

    • AFC Malmö to win64%
    • Over 2.5 goals69%
    • Mahdi Fatahi to score30%

    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 score64%
    • Over 2.5 goals69%
    • Mahdi Fatahi to score30%
    • Felix Wennergrund 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

    No odds available yet.

    Statistics

    Head-to-head

    1 matches
    AFC Malmö 1Draw 0Utsikten 0
    Goals: 30 (⌀ 3)

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

    xG & xGA per match — 3-game rolling average

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

    AFC Malmö
    Utsikten
    When goals are scored and conceded 2026
    AFC Malmö (3931)
    Utsikten (1754)
    Pass networks

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

    AFC Malmö
    Lucas Larsen: 273 passningar, xT 0.72LarsenBrwa Nouri: 247 passningar, xT 1.13NouriMahdi Fatahi: 186 passningar, xT 0.31FatahiEren Alievski: 173 passningar, xT 0.53AlievskiAlbin Sjöstrand Bjurnemark: 159 passningar, xT 0.26BjurnemarkStefan Walid Karim: 135 passningar, xT 0.25KarimNicola José Arcanjo Köhler: 116 passningar, xT 0.61KöhlerFredrik Martinsson: 100 passningar, xT 0.95MartinssonVicente Castro: 90 passningar, xT 0.68CastroAnton Reuterskiöld: 69 passningar, xT 0.22ReuterskiöldAhmed Awad: 67 passningar, xT 0.04Awad
    Utsikten
    Kasper Berndtsson: 183 passningar, xT 0.3BerndtssonFelix Wennergrund: 158 passningar, xT 0.49WennergrundEnzo Andrén: 149 passningar, xT 0.26AndrénDavid Gustafsson: 136 passningar, xT 0.12GustafssonPontus Olsson: 131 passningar, xT 0.83OlssonMelvin Koliqi: 128 passningar, xT 2.07KoliqiCarl Juhlin: 112 passningar, xT 0.45JuhlinElias Risp: 89 passningar, xT 0.3RispSimon Sjöholm: 80 passningar, xT 0.39SjöholmSemir Bosnic: 67 passningar, xT 0.17BosnicJoel Nöller: 64 passningar, xT 0.32Nöller
    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.

    AFC Malmö
    Lucas Larsen: 273 passningar, xT 0.72LarsenBrwa Nouri: 247 passningar, xT 1.13NouriMahdi Fatahi: 186 passningar, xT 0.31FatahiEren Alievski: 173 passningar, xT 0.53AlievskiAlbin Sjöstrand Bjurnemark: 159 passningar, xT 0.26BjurnemarkStefan Walid Karim: 135 passningar, xT 0.25KarimNicola José Arcanjo Köhler: 116 passningar, xT 0.61KöhlerFredrik Martinsson: 100 passningar, xT 0.95MartinssonVicente Castro: 90 passningar, xT 0.68CastroAnton Reuterskiöld: 69 passningar, xT 0.22ReuterskiöldAhmed Awad: 67 passningar, xT 0.04Awad
    Utsikten
    Kasper Berndtsson: 183 passningar, xT 0.3BerndtssonFelix Wennergrund: 158 passningar, xT 0.49WennergrundEnzo Andrén: 149 passningar, xT 0.26AndrénDavid Gustafsson: 136 passningar, xT 0.12GustafssonPontus Olsson: 131 passningar, xT 0.83OlssonMelvin Koliqi: 128 passningar, xT 2.07KoliqiCarl Juhlin: 112 passningar, xT 0.45JuhlinElias Risp: 89 passningar, xT 0.3RispSimon Sjöholm: 80 passningar, xT 0.39SjöholmSemir Bosnic: 67 passningar, xT 0.17BosnicJoel Nöller: 64 passningar, xT 0.32Nöller

    The teams in numbers

    PerformanceAFC MalmöUtsikten
    Points328
    xPoints26.420.8
    xG per match1.51.1
    xGA per match1.52.1
    xG within 8s of winning the ball0.320.22
    xGA within 8s of losing the ball0.340.4
    Playing styleAFC MalmöUtsikten
    Build-up efficiency0.360.36
    Field tilt0.540.43
    xT per match1.61.3
    xTA per match1.31.7
    Won balls, offensive half2931
    Pressing intensity0.50.47
    Pressing efficiency0.280.25
    Pressing efficiency, offensive half0.290.26
    Entries into the box per match1611
    Entries into the box against1317
    Pass completion %0.80.75
    Pass completion % under pressure0.750.7
    Passes per match405316
    Passes against per match355448
    Switches of play per match17.315.9
    Long balls per match3730
    Set piecesAFC MalmöUtsikten
    xG from free kicks0.130.09
    Corners per match5.54.2
    Corners against per match4.84.5
    xG per corner0.030.01
    xGA per corner against0.030.05
    First touch, offensive corners %0.560.3
    First touch, defensive corners %0.580.55
    OtherAFC MalmöUtsikten
    Throw-in control0.590.58
    The goalkeepersPhilip Mårtensson (AFC Malmö)Linus Dahlgren (Utsikten)
    Saves4137
    Save %70%66%
    xG prevented34%52%
    Claims69 (92%)44 (82%)

    Teams & more matches this round

    Frequently asked questions

    Who wins AFC Malmö vs Utsikten according to our model?

    The model gives AFC Malmö a 64% win probability. Full 1X2 picture: AFC Malmö 64%, draw 18%, Utsikten 18%.

    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 69% and under at 31%.

    Will both teams score?

    The probability of both teams scoring is 64% 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.