Swedish AllsvenskanEleda Stadion, Malmö11°30 km/h

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    Malmö FFMalmö FFPossession & high press
    vs
    HammarbyHammarbyPossession & high press
    The model's lean: 2 · Hammarby (46%)Best value by the model: 1 · Malmö FF @ 4.04 (+23 %)

    Malmö FF vs Hammarby · Swedish Allsvenskan

    1 · Malmö FF 30%X 23%46% Hammarby · 2

    Prediction summary

    BetBuilders AI model prediction for Malmö FF vs Hammarby (Swedish Allsvenskan, Sunday, 1 November 2026): Malmö FF win 30%, draw 23%, Hammarby win 46%. Expected goals (xG): Malmö FF 1.38, Hammarby 1.67. Most likely score: 1-1 (11%). Over 2.5 goals 59%, both teams to score 61%. Double chance: Malmö FF or draw 54%, Hammarby or draw 70%. Prediction updated Saturday, 24 October 2026.

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    Analysis: Malmö FF – Hammarby

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    With Malmö FF and Hammarby set to clash, all signs point to a compelling battle where the visitors have the upper hand. Hammarby, riding high with 46 points versus Malmö's 37, also boast superior underlying metrics—a notable 2.1 expected goals (xG) per match against Malmö's 1.5. Their defensive solidity, allowing just 0.91 expected goals against (xGA) per match, further underscores their strength compared to Malmö's 1.2 xGA.

    The model gives Hammarby a clear edge with a 46% probability of winning, suggesting value lies with the visitors.

    Despite Malmö's respectable home win rate of 62% across 58 matches, this head-to-head record since 2023 is evenly split at 3 wins apiece and a draw across seven meetings. With this sample size, the head-to-head doesn't overshadow the form and expected goals metrics, which favor Hammarby.

    The tactical match-up is intriguing, as both sides play a possession-based, high-press game. However, Hammarby's efficiency in converting chances sets them apart. The expected goals figures (1.67 for Hammarby compared to Malmö's 1.38) suggest they are more likely to capitalize on opportunities, hinting at a slight edge in this shared playing style.

    Expect a match that hovers around the 2.5 goal mark, with a 59% chance of going over according to the model. The most likely scorelines reflect a narrow victory or a draw, with 1-1 at 11% and 1-2 at 9%. The 1-2 outcome feels like the sweet spot, where Hammarby's form and finishing prowess could just nudge them ahead.

    Malmö FFMalmö FF
    Form WLWLD
    League ranking xG #7xGA #8xT #10xP/match #10Points #7
    Key players
    • Adrian SkogmarCAMxG 0.08 · xT 0.04
    • Otto RosengrenCDMxG 0.14 · xT 0.13
    • Gabriel Dal Toe BusanelloLBxG 0.04 · xT 0.39
    HammarbyHammarby
    Form DWWLW
    League ranking xG #1xGA #1xT #1xP/match #2Points #3
    Key players
    • Nahir BesaraCAMxG 0.38 · xT 0.34
    • Tesfaldet TekieCMxG 0.06 · xT 0.20
    • Montader MadjedRWxG 0.27 · xT 0.28

    Match prediction: Malmö FF – Hammarby

    Predicted score matrix

    Hammarby →
    Malmö FF →
    0
    1
    2
    3
    4+
    0
    0–05.1%
    0–17.6%
    0–26.6%
    0–33.7%
    0–4+2.3%
    1
    1–06.2%
    1–111.2%
    1–29.1%
    1–35.1%
    1–4+3.1%
    2
    2–04.5%
    2–17.5%
    2–26.3%
    2–33.5%
    2–4+2.1%
    3
    3–02.1%
    3–13.4%
    3–22.9%
    3–31.6%
    3–4+1.0%
    4+
    4+–01.0%
    4+–11.6%
    4+–21.3%
    4+–30.7%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.0-18%
    4. 4.2-18%
    5. 5.0-27%
    Expected goals
    1,38–1,67
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,1
    Under 2,541%
    @2.48EV+2%
    Over 2,559%
    @1.52

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Hammarby to win46%
    • Over 1.5 goals81%

    Combined probability

    37%

    Fair odds

    2.74

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

    02 · 3 legs

    Balanced

    • Hammarby to win46%
    • Over 2.5 goals59%
    • Montader Madjed to score24%

    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 score61%
    • Over 2.5 goals59%
    • Montader Madjed to score24%
    • Adrian Skogmar to be booked23%

    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+).

    • 1 · Malmö FF30% probability@4.04BetsafeEV+23%reference odds
    • 1 · Malmö FF30% probability@4.04NordicbetEV+23%reference odds
    • 1 · Malmö FF30% probability@4.00LeoVegasEV+22%reference odds
    Bookmaker1 · Malmö FFX2 · Hammarby
    Betsafe
    EV+ 23%
    4.04
    3.961.81
    LeoVegas
    EV+ 22%
    4.00
    4.001.80
    Nordicbet
    EV+ 23%
    4.04
    3.961.81

    Odds updated 27 Oct, 13:37

    Odds movement

    10 %
    26 %21 %

    4.00 → 4.00

    X0 %
    26 %21 %

    4.00 → 4.00

    20 %
    55 %50 %

    1.80 → 1.80

    LeoVegas · 6 recorded price levels · 25/10/2026 → 27/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    7 matches
    Malmö FF 3Draw 1Hammarby 3
    Goals: 13–14 (⌀ 3,9)

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

    Key facts

    • A high-scoring fixture: 3.9 goals per meeting on average.
    • Malmö FF win 62% of their home matches all-time (58 played).
    xG & xGA per match — 3-game rolling average

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

    Malmö FF
    Hammarby
    When goals are scored and conceded — 2026
    Malmö FF (38–34)
    Hammarby (50–21)
    Pass networks

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

    Malmö FF
    Gabriel Dal Toe Busanello: 357 passningar, xT 2.88BusanelloJens Stryger Larsen: 283 passningar, xT 1.19LarsenStian Rode Gregersen: 261 passningar, xT 0.29GregersenMalte Frejd Pålsson: 233 passningar, xT 0.27PålssonAndrej Đurić: 232 passningar, xT 0.24ĐurićAdrian Skogmar: 220 passningar, xT -0.17SkogmarOtto Rosengren: 167 passningar, xT 0.64RosengrenTheodor Lundbergh: 139 passningar, xT 0.57LundberghSead Haksabanovic: 126 passningar, xT 0.41HaksabanovicRobin Olsen: 98 passningar, xT 0.11OlsenAnton Höög: 64 passningar, xT 0.09Höög
    Hammarby
    Frederik Winther: 493 passningar, xT 0.73WintherIbrahima Breze Fofana: 402 passningar, xT 0.37FofanaHampus Skoglund: 400 passningar, xT 0.41SkoglundMarkus Karlsson: 352 passningar, xT 0.23KarlssonMontader Madjed: 203 passningar, xT 0.71MadjedNoah Persson: 199 passningar, xT -0.07PerssonFrank Junior Agyei: 191 passningar, xT 0.42AgyeiVictor Eriksson: 175 passningar, xT 0.13ErikssonVictor Stange Lind: 171 passningar, xT 0.96LindTesfaldet Tekie: 123 passningar, xT 0.41TekieWarner Hahn: 101 passningar, xT 0.2Hahn
    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
    Gabriel Dal Toe Busanello: 357 passningar, xT 2.88BusanelloJens Stryger Larsen: 283 passningar, xT 1.19LarsenStian Rode Gregersen: 261 passningar, xT 0.29GregersenMalte Frejd Pålsson: 233 passningar, xT 0.27PålssonAndrej Đurić: 232 passningar, xT 0.24ĐurićAdrian Skogmar: 220 passningar, xT -0.17SkogmarOtto Rosengren: 167 passningar, xT 0.64RosengrenTheodor Lundbergh: 139 passningar, xT 0.57LundberghSead Haksabanovic: 126 passningar, xT 0.41HaksabanovicRobin Olsen: 98 passningar, xT 0.11OlsenAnton Höög: 64 passningar, xT 0.09Höög
    Hammarby
    Frederik Winther: 493 passningar, xT 0.73WintherIbrahima Breze Fofana: 402 passningar, xT 0.37FofanaHampus Skoglund: 400 passningar, xT 0.41SkoglundMarkus Karlsson: 352 passningar, xT 0.23KarlssonMontader Madjed: 203 passningar, xT 0.71MadjedNoah Persson: 199 passningar, xT -0.07PerssonFrank Junior Agyei: 191 passningar, xT 0.42AgyeiVictor Eriksson: 175 passningar, xT 0.13ErikssonVictor Stange Lind: 171 passningar, xT 0.96LindTesfaldet Tekie: 123 passningar, xT 0.41TekieWarner Hahn: 101 passningar, xT 0.2Hahn

    The teams in numbers

    PerformanceMalmö FFHammarby
    Points3746
    xPoints33.243.2
    xG per match1.52.1
    xGA per match1.20.91
    xG within 8s of winning the ball0.240.4
    xGA within 8s of losing the ball0.210.23
    Playing styleMalmö FFHammarby
    Build-up efficiency0.350.35
    Field tilt0.610.77
    xT per match1.41.7
    xTA per match1.30.87
    Won balls, offensive half2937
    Pressing intensity0.490.58
    Pressing efficiency0.250.25
    Pressing efficiency, offensive half0.260.25
    Entries into the box per match1820
    Entries into the box against158
    Pass completion %0.840.87
    Pass completion % under pressure0.80.83
    Passes per match466564
    Passes against per match336313
    Switches of play per match13.911
    Long balls per match3524
    Set piecesMalmö FFHammarby
    xG from free kicks0.250.25
    Corners per match5.16.7
    Corners against per match5.32.6
    xG per corner0.040.03
    xGA per corner against0.020.04
    First touch, offensive corners %0.590.52
    First touch, defensive corners %0.520.57
    OtherMalmö FFHammarby
    Throw-in control0.590.71
    The goalkeepersRobin Olsen (Malmö FF)Warner Hahn (Hammarby)
    Saves5446
    Save %77%69%
    xG prevented60%39%
    Claims78 (92%)86 (98%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: Malmö FF spelschemaHammarby spelschema

    Frequently asked questions

    Who wins Malmö FF vs Hammarby according to our model?

    The model gives Hammarby a 46% win probability. Full 1X2 picture: Malmö FF 30%, draw 23%, Hammarby 46%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 61% according to the model.

    How many goals are expected in Malmö FF vs Hammarby?

    The model expects 1.38 goals (xG) for Malmö FF and 1.67 for Hammarby, 3.05 in total.

    What does the model say about double chance?

    Malmö FF or draw (1X) 54%, Hammarby or draw (X2) 70% and no draw (12) 77%.

    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.