Swedish AllsvenskanGamla Ullevi, Göteborg15°19 km/h

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    ÖrgryteÖrgryteBalanced & physical
    vs
    HammarbyHammarbyPossession & high press
    The model's lean: 2 · Hammarby (71%)Best value by the model: 1 · Örgryte @ 12.74 (+46 %)

    ÖrgryteHammarby · Swedish Allsvenskan

    1 · Örgryte 11%X 17%71% Hammarby · 2

    Analysis: ÖrgryteHammarby

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    Hammarby's dominant 71% win probability leaves little room for doubt in their clash against Örgryte. With model probabilities emphasizing Hammarby's superiority, the visitors are expected to control the match. A 0-2 scoreline seems most likely, backed by expected goals of 2.39 for Hammarby compared to a mere 0.86 for Örgryte. The hosts will struggle to break through Hammarby’s high-press defense which has seen them score in 10 straight league outings.

    Despite Örgryte's balanced and physical approach, their defense leaks an average xGA of 1.9 per match, a stark contrast to Hammarby's solid 0.98. The visitors' possession-based style is expected to exploit these defensive frailties. Head-to-head history offers little insight, as they've met just once since 2023, which Hammarby won. More telling are the standings and xPoints, both clearly favoring the away side.

    For those seeking value, the odds of 10.37 for a home win at Betsafe, Betsson, and Nordicbet present an interesting proposition. While the model gives Örgryte an 11% chance, these odds suggest a 19% edge. However, it's a punt on an unlikely upset rather than a conservative play. Expect a low-scoring win for the visitors, leaning towards under 2.5 goals despite the model's broader expectations.

    ÖrgryteÖrgryte
    Form WLLDL
    League ranking xG #14xGA #15xT #13xP/match #12Points #15
    Key players
    • Noah ChristofferssonFxG 0.39 · xT 0.03
    • Adam AnderssonRWxG 0.06 · xT 0.29
    • William HofvanderRWxG 0.18 · xT 0.19
    HammarbyHammarby
    Form DWWWL
    League ranking xG #1xGA #1xT #1xP/match #2Points #2
    Key players
    • Montader MadjedRWxG 0.27 · xT 0.28
    • Hampus SkoglundRWxG 0.03 · xT 0.20
    • Paulos AbrahamFxG 0.70 · xT 0.10

    Match prediction: ÖrgryteHammarby

    Predicted score matrix

    Hammarby
    Örgryte
    0
    1
    2
    3
    4+
    0
    0–04.1%
    0–19.1%
    0–211.1%
    0–38.9%
    0–4+9.3%
    1
    1–03.1%
    1–18.2%
    1–29.5%
    1–37.6%
    1–4+7.9%
    2
    2–01.4%
    2–13.4%
    2–24.1%
    2–33.2%
    2–4+3.4%
    3
    3–00.4%
    3–11.0%
    3–21.2%
    3–30.9%
    3–4+1.0%
    4+
    4+–00.1%
    4+–10.2%
    4+–20.3%
    4+–30.2%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.0-211%
    2. 2.1-210%
    3. 3.0-19%
    4. 4.0-39%
    5. 5.1-18%
    Expected goals
    0,862,39
    Both teams to score
    52%

    Over/under goals

    Expected goals: 3,2
    Under 2,537%
    @3.15EV+17%
    Over 2,563%
    @1.32

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Hammarby to win71%
    • Over 1.5 goals84%

    Combined probability

    62%

    Fair odds

    1.62

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

    02 · 3 legs

    Balanced

    • Hammarby to win71%
    • Over 2.5 goals63%
    • Markus Karlsson to score33%

    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 goals63%
    • Markus Karlsson to score33%
    • 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+).

    • 1 · Örgryte11% probability@12.74BetsafeEV+46%reference odds
    • 1 · Örgryte11% probability@12.74BetssonEV+46%reference odds
    • 1 · Örgryte11% probability@12.74NordicbetEV+46%reference odds
    Bookmaker1 · ÖrgryteX2 · Hammarby
    Betsafe
    EV+ 46%
    12.74
    EV+ 3%
    6.02
    1.24
    Betsson
    EV+ 46%
    12.74
    EV+ 3%
    6.02
    1.24
    Nordicbet
    EV+ 46%
    12.74
    EV+ 3%
    6.02
    1.24
    Pinnacle
    EV+ 25%
    10.89
    EV+ 19%
    6.94
    1.21

    Odds updated 4 Sept, 12:38

    Odds movement

    1+13 %
    12 %7 %

    9.6610.89

    X+7 %
    16 %11 %

    6.496.94

    2-3 %
    79 %74 %

    1.241.21

    Pinnacle · 5 recorded price levels · 31/08/2026 → 04/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Örgryte 0Draw 0Hammarby 1
    Goals: 18 (⌀ 9)

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

    Key facts

    • Hammarby have scored in 10 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Örgryte
    Hammarby
    When goals are scored and conceded 2026
    Örgryte (2242)
    Hammarby (4418)
    Pass networks

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

    Örgryte
    Owen Parker-Price: 257 passningar, xT 1.15Parker-PriceMikael Dyrestam: 207 passningar, xT 0.14DyrestamBenjamin Laturnus: 193 passningar, xT 0.68LaturnusChristoffer Styffe: 167 passningar, xT 0.25StyffeTobias Sana: 157 passningar, xT 0.81SanaDaniel Paulson: 111 passningar, xT 0.49PaulsonSebastian Lagerlund: 109 passningar, xT 0.14LagerlundJohan Hammar: 102 passningar, xT 0.15HammarAdam Andersson: 87 passningar, xT 0.53AnderssonMichael Parker: 73 passningar, xT 0.21ParkerWilliam Hofvander: 69 passningar, xT 0.44Hofvander
    Hammarby
    Hampus Skoglund: 405 passningar, xT 0.91SkoglundFrederik Winther: 313 passningar, xT 0.34WintherIbrahima Breze Fofana: 294 passningar, xT 0.19FofanaMarkus Karlsson: 279 passningar, xT -0.02KarlssonNoah Persson: 216 passningar, xT 0.84PerssonFrank Junior Agyei: 212 passningar, xT 0.71AgyeiMontader Madjed: 203 passningar, xT 0.76MadjedVictor Stange Lind: 182 passningar, xT 1.98LindAmin Boudri: 149 passningar, xT 0.24BoudriTesfaldet Tekie: 136 passningar, xT 0.24TekieWaylon Ramon Renecke: 131 passningar, xT 0.18Renecke
    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.

    Örgryte
    Owen Parker-Price: 257 passningar, xT 1.15Parker-PriceMikael Dyrestam: 207 passningar, xT 0.14DyrestamBenjamin Laturnus: 193 passningar, xT 0.68LaturnusChristoffer Styffe: 167 passningar, xT 0.25StyffeTobias Sana: 157 passningar, xT 0.81SanaDaniel Paulson: 111 passningar, xT 0.49PaulsonSebastian Lagerlund: 109 passningar, xT 0.14LagerlundJohan Hammar: 102 passningar, xT 0.15HammarAdam Andersson: 87 passningar, xT 0.53AnderssonMichael Parker: 73 passningar, xT 0.21ParkerWilliam Hofvander: 69 passningar, xT 0.44Hofvander
    Hammarby
    Hampus Skoglund: 405 passningar, xT 0.91SkoglundFrederik Winther: 313 passningar, xT 0.34WintherIbrahima Breze Fofana: 294 passningar, xT 0.19FofanaMarkus Karlsson: 279 passningar, xT -0.02KarlssonNoah Persson: 216 passningar, xT 0.84PerssonFrank Junior Agyei: 212 passningar, xT 0.71AgyeiMontader Madjed: 203 passningar, xT 0.76MadjedVictor Stange Lind: 182 passningar, xT 1.98LindAmin Boudri: 149 passningar, xT 0.24BoudriTesfaldet Tekie: 136 passningar, xT 0.24TekieWaylon Ramon Renecke: 131 passningar, xT 0.18Renecke

    The teams in numbers

    PerformanceÖrgryteHammarby
    Points1436
    xPoints21.234.4
    xG per match1.12.2
    xGA per match1.90.98
    xG within 8s of winning the ball0.20.48
    xGA within 8s of losing the ball0.330.26
    Playing styleÖrgryteHammarby
    Build-up efficiency0.370.35
    Field tilt0.350.75
    xT per match1.21.7
    xTA per match1.60.89
    Won balls, offensive half2738
    Pressing intensity0.50.56
    Pressing efficiency0.210.25
    Pressing efficiency, offensive half0.230.25
    Entries into the box per match1320
    Entries into the box against179
    Pass completion %0.780.87
    Pass completion % under pressure0.740.82
    Passes per match342549
    Passes against per match476319
    Switches of play per match15.811.6
    Long balls per match2724
    Set piecesÖrgryteHammarby
    xG from free kicks0.120.18
    Corners per match4.16.5
    Corners against per match6.22.7
    xG per corner0.030.03
    xGA per corner against0.030.04
    First touch, offensive corners %0.440.57
    First touch, defensive corners %0.560.6
    OtherÖrgryteHammarby
    Throw-in control0.570.72
    The goalkeepersHampus Gustafsson (Örgryte)Warner Hahn (Hammarby)
    Saves7140
    Save %63%69%
    xG prevented35%37%
    Claims115 (91%)76 (97%)

    Frequently asked questions

    Who wins Örgryte vs Hammarby according to our model?

    The model gives Hammarby a 71% win probability. Full 1X2 picture: Örgryte 11%, draw 17%, Hammarby 71%.

    What is the most likely scoreline?

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