Swedish Allsvenskan3Arena, Stockholm15°14 km/h

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    HammarbyHammarbyPossession & high press
    vs
    BrommapojkarnaBrommapojkarnaCounter-attacks & crosses
    The model's lean: 1 · Hammarby (76%)Best value by the model: 2 · Brommapojkarna @ 13.61 (+14 %)

    HammarbyBrommapojkarna · Swedish Allsvenskan

    1 · Hammarby 76%X 15%8% Brommapojkarna · 2

    Analysis: HammarbyBrommapojkarna

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

    In their last seven meetings, Hammarby have clearly enjoyed the upper hand against Brommapojkarna, claiming four victories to the visitors' single win. The fixture has historically been goal-rich, averaging three goals per match. With Hammarby scoring in their last 11 league games and dominating at home—winning 67% of their matches there—the odds are stacked heavily in their favor. However, with only seven head-to-head matches since 2023, this history weighs less than current form and expected goals.

    The models paint a clear picture: Hammarby are expected to dominate, with a 76% chance of winning and most likely scorelines pointing toward a comfortable 2-0 or 3-0 victory. Their high press and possession-based style are anticipated to exploit Brommapojkarna’s vulnerability, highlighted by their higher xGA of 1.4. While the visitors lean on a counter-attacking game, this strategy could struggle against the organized pressure of their hosts.

    Despite the gloomy weather forecast—14.2°C with 9.0 mm of rain—Hammarby's expected goals of 2.66 suggest they should still find the net multiple times. The over 2.5 goals market carries a 67% probability, suggesting a higher scoring affair, while both teams to score sits at 52%. However, given Brommapojkarna’s lower expected goals of 0.81, there's a reasonable chance they may not contribute to the tally.

    For sharp bettors, there’s a notable edge in backing Brommapojkarna at long odds. Betting away at 13.44 with Betsafe, Betsson, or Nordicbet offers a 13% edge over the model's predicted 8% chance of an upset. While Hammarby's dominance is clear, the value lies in the potential for a surprise outcome at those odds.

    HammarbyHammarby
    Form WWWLD
    League ranking xG #1xGA #1xT #1xP/match #2Points #3
    Key players
    • Montader MadjedRWxG 0.27 · xT 0.28
    • Hampus SkoglundRWxG 0.03 · xT 0.19
    • Paulos AbrahamFxG 0.68 · xT 0.10
    BrommapojkarnaBrommapojkarna
    Form DWWLW
    League ranking xG #10xGA #10xT #15xP/match #7Points #10
    Key players
    • Mads Kristian HansenRWxG 0.22 · xT 0.24
    • Oliver BergFxG 0.24 · xT 0.24
    • David IssoFxG 0.39 · xT -0.01

    Match prediction: HammarbyBrommapojkarna

    Predicted score matrix

    Brommapojkarna
    Hammarby
    0
    1
    2
    3
    4+
    0
    0–03.3%
    0–12.3%
    0–21.0%
    0–30.3%
    0–4+0.1%
    1
    1–08.1%
    1–16.9%
    1–22.7%
    1–30.7%
    1–4+0.2%
    2
    2–011.1%
    2–18.9%
    2–23.6%
    2–31.0%
    2–4+0.2%
    3
    3–09.8%
    3–17.9%
    3–23.2%
    3–30.9%
    3–4+0.2%
    4+
    4+–012.4%
    4+–110.0%
    4+–24.0%
    4+–31.1%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-011%
    2. 2.3-010%
    3. 3.2-19%
    4. 4.1-08%
    5. 5.3-18%
    Expected goals
    2,660,81
    Both teams to score
    52%

    Over/under goals

    Expected goals: 3,5
    Under 2,533%
    @3.05
    Over 2,567%
    @1.35

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Hammarby to win76%
    • Over 1.5 goals86%

    Combined probability

    68%

    Fair odds

    1.46

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

    02 · 3 legs

    Balanced

    • Hammarby to win76%
    • Over 2.5 goals67%
    • Oscar Johansson Schellhas 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 score52%
    • Over 2.5 goals67%
    • Oscar Johansson Schellhas to score30%
    • Kevin Ackermann 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+).

    • 2 · Brommapojkarna8% probability@13.61BetsafeEV+14%reference odds
    • 2 · Brommapojkarna8% probability@13.61BetssonEV+14%reference odds
    • 2 · Brommapojkarna8% probability@13.61NordicbetEV+14%reference odds
    Bookmaker1 · HammarbyX2 · Brommapojkarna
    Betsafe1.235.97
    EV+ 14%
    13.61
    Betsson1.235.97
    EV+ 14%
    13.61
    Nordicbet1.235.97
    EV+ 14%
    13.61
    Pinnacle1.19
    EV+ 11%
    7.26
    11.22

    Odds updated 11 Sept, 12:38

    Odds movement

    1-1 %
    80 %75 %

    1.211.19

    X+9 %
    16 %11 %

    6.687.26

    2+12 %
    11 %6 %

    10.0211.22

    Pinnacle · 7 recorded price levels · 06/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    7 matches
    Hammarby 4Draw 2Brommapojkarna 1
    Goals: 138 (⌀ 3)

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

    Key facts

    • Hammarby dominate this fixture historically: 4 wins to 1 in 7 meetings.
    • A high-scoring fixture: 3.0 goals per meeting on average.
    • Hammarby have scored in 11 consecutive league matches.
    • Hammarby win 67% of their home matches all-time (55 played).
    xG & xGA per match — 3-game rolling average

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

    Hammarby
    Brommapojkarna
    When goals are scored and conceded 2026
    Hammarby (4519)
    Brommapojkarna (2932)
    Pass networks

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

    Hammarby
    Hampus Skoglund: 415 passningar, xT 0.65SkoglundFrederik Winther: 360 passningar, xT 0.39WintherMarkus Karlsson: 300 passningar, xT 0.2KarlssonNoah Persson: 247 passningar, xT 0.78PerssonVictor Eriksson: 243 passningar, xT 0.17ErikssonVictor Stange Lind: 202 passningar, xT 1.34LindIbrahima Breze Fofana: 202 passningar, xT 0.1FofanaFrank Junior Agyei: 192 passningar, xT 0.68AgyeiMontader Madjed: 184 passningar, xT 0.7MadjedAmin Boudri: 141 passningar, xT 0.24BoudriWarner Hahn: 126 passningar, xT 0.09Hahn
    Brommapojkarna
    Andreas Troelsen: 351 passningar, xT 0.31TroelsenOliver Zandén: 333 passningar, xT 1.34ZandénKaare Brøckner Barslund: 281 passningar, xT 0.16BarslundJordan Simpson: 245 passningar, xT 0.22SimpsonSimon Strand: 243 passningar, xT 0.24StrandWilmer Odefalk: 169 passningar, xT 0.25OdefalkMads Kristian Hansen: 153 passningar, xT 0.88HansenObilor Denzel Okeke: 97 passningar, xT 0.51OkekeAnton Kurochkin: 83 passningar, xT 0.19KurochkinOliver Berg: 83 passningar, xT 0.46BergOskar Cotton: 80 passningar, xT 0.13Cotton
    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
    Hampus Skoglund: 415 passningar, xT 0.65SkoglundFrederik Winther: 360 passningar, xT 0.39WintherMarkus Karlsson: 300 passningar, xT 0.2KarlssonNoah Persson: 247 passningar, xT 0.78PerssonVictor Eriksson: 243 passningar, xT 0.17ErikssonVictor Stange Lind: 202 passningar, xT 1.34LindIbrahima Breze Fofana: 202 passningar, xT 0.1FofanaFrank Junior Agyei: 192 passningar, xT 0.68AgyeiMontader Madjed: 184 passningar, xT 0.7MadjedAmin Boudri: 141 passningar, xT 0.24BoudriWarner Hahn: 126 passningar, xT 0.09Hahn
    Brommapojkarna
    Andreas Troelsen: 351 passningar, xT 0.31TroelsenOliver Zandén: 333 passningar, xT 1.34ZandénKaare Brøckner Barslund: 281 passningar, xT 0.16BarslundJordan Simpson: 245 passningar, xT 0.22SimpsonSimon Strand: 243 passningar, xT 0.24StrandWilmer Odefalk: 169 passningar, xT 0.25OdefalkMads Kristian Hansen: 153 passningar, xT 0.88HansenObilor Denzel Okeke: 97 passningar, xT 0.51OkekeAnton Kurochkin: 83 passningar, xT 0.19KurochkinOliver Berg: 83 passningar, xT 0.46BergOskar Cotton: 80 passningar, xT 0.13Cotton

    The teams in numbers

    PerformanceHammarbyBrommapojkarna
    Points3727
    xPoints36.928.2
    xG per match2.31.2
    xGA per match0.951.4
    xG within 8s of winning the ball0.460.23
    xGA within 8s of losing the ball0.250.26
    Playing styleHammarbyBrommapojkarna
    Build-up efficiency0.350.34
    Field tilt0.760.42
    xT per match1.71.1
    xTA per match0.851.7
    Won balls, offensive half3821
    Pressing intensity0.560.47
    Pressing efficiency0.250.19
    Pressing efficiency, offensive half0.250.18
    Entries into the box per match2014
    Entries into the box against818
    Pass completion %0.870.83
    Pass completion % under pressure0.830.78
    Passes per match557424
    Passes against per match316492
    Switches of play per match11.315.8
    Long balls per match2427
    Set piecesHammarbyBrommapojkarna
    xG from free kicks0.180.12
    Corners per match6.64.5
    Corners against per match2.65.5
    xG per corner0.030.02
    xGA per corner against0.040.03
    First touch, offensive corners %0.540.34
    First touch, defensive corners %0.60.58
    OtherHammarbyBrommapojkarna
    Throw-in control0.720.61
    The goalkeepersWarner Hahn (Hammarby)Leo Cavallius (Brommapojkarna)
    Saves4072
    Save %68%70%
    xG prevented35%58%
    Claims79 (98%)107 (84%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Hammarby vs Brommapojkarna according to our model?

    The model gives Hammarby a 76% win probability. Full 1X2 picture: Hammarby 76%, draw 15%, Brommapojkarna 8%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 67% and under at 33%.

    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.