Swedish Allsvenskan3Arena, Stockholm10°13 km/h

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    HammarbyHammarbyPossession & high press
    vs
    DjurgårdenDjurgårdenPossession & high press
    The model's lean: 1 · Hammarby (49%)Best value by the model: Under 2,5 @ 2.48 (+23 %)

    Hammarby vs Djurgården · Swedish Allsvenskan

    1 · Hammarby 49%X 27%24% Djurgården · 2

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    Analysis: Hammarby – Djurgården

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

    Hammarby have turned this fixture into a one-sided affair recently, maintaining an unbeaten streak against Djurgården with 4 wins and 3 draws in their last 7 encounters. Despite this dominance, the upcoming match isn't as straightforward as historical data suggests. The hosts are the favorites with a 49% win probability, yet the model's top scoreline prediction is a 1-1 draw, pointing to a potentially tight contest.

    Both sides embrace a similar playing style, relying heavily on possession and a high press, which can often lead to stalemates when evenly matched. Hammarby's slight edge in xG per match at 2.2 versus Djurgården's 1.9 supports their favorite status, but the visitors aren't far behind. Particularly notable is the hosts' strong home record, winning 68% of their matches, which could play a crucial role in tilting the scale.

    Goals may not flow as freely as the average of 3.1 per meeting suggests. Despite the historical high-scoring trend, the balance of expected goals — 1.65 for Hammarby and 1.03 for Djurgården — implies defenses might have a stronger say this time. The 50% probability for over 2.5 goals aligns perfectly with the under 2.5 goals value bet, indicating market mispricing ripe for exploitation.

    The sharpest angles lie with LeoVegas' offerings. The under 2.5 bet at odds of 2.4 presents a 19% edge based on model assessment, and the under 3.5 at 1.6 odds carries a 15% edge. With the possibility of a draw at 4.1 odds, which the model pegs at 27% versus market odds, bettors have several intriguing paths. While the hosts seem likely to edge it, the true value may lie in the market's oversight of a lower-scoring draw.

    HammarbyHammarby
    Form WLDWW
    League ranking xG #1xGA #1xT #1xP/match #2Points #2
    Key players
    • Montader MadjedRWxG 0.26 · xT 0.27
    • Hampus SkoglundRWxG 0.04 · xT 0.18
    • Paulos AbrahamFxG 0.69 · xT 0.09
    DjurgårdenDjurgården
    Form WWWWL
    League ranking xG #2xGA #3xT #4xP/match #3Points #3
    Key players
    • Bo HeglandFxG 0.35 · xT 0.32
    • Max LarssonLWxG 0.06 · xT 0.23
    • Kristian LienFxG 0.65 · xT 0.05

    Match prediction: Hammarby – Djurgården

    Predicted score matrix

    Djurgården →
    Hammarby →
    0
    1
    2
    3
    4+
    0
    0–07.2%
    0–16.7%
    0–23.6%
    0–31.3%
    0–4+0.4%
    1
    1–010.9%
    1–112.0%
    1–26.0%
    1–32.1%
    1–4+0.7%
    2
    2–09.3%
    2–19.6%
    2–25.0%
    2–31.7%
    2–4+0.6%
    3
    3–05.1%
    3–15.3%
    3–22.7%
    3–30.9%
    3–4+0.3%
    4+
    4+–03.1%
    4+–13.2%
    4+–21.6%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-011%
    3. 3.2-110%
    4. 4.2-09%
    5. 5.0-07%
    Expected goals
    1,65–1,03
    Both teams to score
    52%

    Over/under goals

    Expected goals: 2,7
    Under 2,550%
    @2.48EV+23%
    Over 2,550%
    @1.52

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Hammarby to win49%
    • Under 3.5 goals72%

    Combined probability

    35%

    Fair odds

    2.86

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

    02 · 3 legs

    Balanced

    • Hammarby to win49%
    • Over 2.5 goals50%
    • Montader Madjed to score21%

    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 score52%
    • Over 2.5 goals50%
    • Kristian Lien to score27%
    • Markus Karlsson 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+).

    • Under 2.550% probability@2.48BetsafeEV+23%reference odds
    • Under 2.550% probability@2.48NordicbetEV+23%reference odds
    • Under 1.525% probability@4.90BetsafeEV+22%reference odds
    Bookmaker1 · HammarbyX2 · Djurgården
    Betsafe1.77
    EV+ 7%
    3.90
    EV+ 2%
    4.31
    LeoVegas1.75
    EV+ 12%
    4.10
    4.10
    Nordicbet1.77
    EV+ 7%
    3.90
    EV+ 2%
    4.31

    Odds updated 3 Oct, 18:36

    Statistics

    Head-to-head

    7 matches
    Hammarby 4Draw 3Djurgården 0
    Goals: 15–7 (⌀ 3,1)

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

    Key facts

    • Hammarby dominate this fixture historically: 4 wins to 0 in 7 meetings.
    • A high-scoring fixture: 3.1 goals per meeting on average.
    • Hammarby have scored in 13 consecutive league matches.
    • Hammarby win 68% of their home matches all-time (56 played).
    xG & xGA per match — 3-game rolling average

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

    Hammarby
    Djurgården
    When goals are scored and conceded — 2026
    Hammarby (49–20)
    Djurgården (47–21)
    Pass networks

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

    Hammarby
    Frederik Winther: 446 passningar, xT 0.58WintherHampus Skoglund: 390 passningar, xT 0.4SkoglundMarkus Karlsson: 287 passningar, xT 0.26KarlssonNoah Persson: 261 passningar, xT 0.71PerssonVictor Eriksson: 243 passningar, xT 0.17ErikssonIbrahima Breze Fofana: 221 passningar, xT 0.25FofanaMontader Madjed: 206 passningar, xT 0.87MadjedVictor Stange Lind: 196 passningar, xT 1.21LindFrank Junior Agyei: 148 passningar, xT 0.57AgyeiWarner Hahn: 128 passningar, xT 0.16HahnAmin Boudri: 75 passningar, xT 0.27Boudri
    Djurgården
    Jacob Une: 376 passningar, xT 0.1UnePiotr Johansson: 338 passningar, xT 0.43JohanssonMiro Tenho: 283 passningar, xT 0.14TenhoMatias Siltanen: 258 passningar, xT 0.3SiltanenDaniel Stensson: 196 passningar, xT 0.28StenssonAdam Ståhl: 174 passningar, xT 0.86StåhlBo Hegland: 167 passningar, xT 1.62HeglandJeppe Møldrup Okkels: 159 passningar, xT 0.15OkkelsJacob Rinne: 148 passningar, xT 0.49RinneMax Larsson: 106 passningar, xT 0.16LarssonPatric Åslund: 87 passningar, xT 0.04Åslund
    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.

    Hammarby
    Frederik Winther: 446 passningar, xT 0.58WintherHampus Skoglund: 390 passningar, xT 0.4SkoglundMarkus Karlsson: 287 passningar, xT 0.26KarlssonNoah Persson: 261 passningar, xT 0.71PerssonVictor Eriksson: 243 passningar, xT 0.17ErikssonIbrahima Breze Fofana: 221 passningar, xT 0.25FofanaMontader Madjed: 206 passningar, xT 0.87MadjedVictor Stange Lind: 196 passningar, xT 1.21LindFrank Junior Agyei: 148 passningar, xT 0.57AgyeiWarner Hahn: 128 passningar, xT 0.16HahnAmin Boudri: 75 passningar, xT 0.27Boudri
    Djurgården
    Jacob Une: 376 passningar, xT 0.1UnePiotr Johansson: 338 passningar, xT 0.43JohanssonMiro Tenho: 283 passningar, xT 0.14TenhoMatias Siltanen: 258 passningar, xT 0.3SiltanenDaniel Stensson: 196 passningar, xT 0.28StenssonAdam Ståhl: 174 passningar, xT 0.86StåhlBo Hegland: 167 passningar, xT 1.62HeglandJeppe Møldrup Okkels: 159 passningar, xT 0.15OkkelsJacob Rinne: 148 passningar, xT 0.49RinneMax Larsson: 106 passningar, xT 0.16LarssonPatric Åslund: 87 passningar, xT 0.04Åslund

    The teams in numbers

    PerformanceHammarbyDjurgården
    Points4341
    xPoints40.738
    xG per match2.21.9
    xGA per match0.911
    xG within 8s of winning the ball0.430.37
    xGA within 8s of losing the ball0.230.14
    Playing styleHammarbyDjurgården
    Build-up efficiency0.350.37
    Field tilt0.760.58
    xT per match1.71.5
    xTA per match0.861.3
    Won balls, offensive half3731
    Pressing intensity0.580.53
    Pressing efficiency0.250.25
    Pressing efficiency, offensive half0.240.27
    Entries into the box per match2016
    Entries into the box against812
    Pass completion %0.870.83
    Pass completion % under pressure0.830.79
    Passes per match555452
    Passes against per match318344
    Switches of play per match11.216
    Long balls per match2430
    Set piecesHammarbyDjurgården
    xG from free kicks0.250.19
    Corners per match6.56.2
    Corners against per match2.63.7
    xG per corner0.030.03
    xGA per corner against0.040.01
    First touch, offensive corners %0.520.42
    First touch, defensive corners %0.590.64
    OtherHammarbyDjurgården
    Throw-in control0.70.63
    The goalkeepersWarner Hahn (Hammarby)Jacob Rinne (Djurgården)
    Saves4364
    Save %68%77%
    xG prevented36%54%
    Claims83 (98%)93 (89%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Hammarby vs Djurgården according to our model?

    The model gives Hammarby a 49% win probability. Full 1X2 picture: Hammarby 49%, draw 27%, Djurgården 24%.

    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 50% and under at 50%.

    Will both teams score?

    The probability of both teams scoring is 52% 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.