Swedish Ettan12°18 km/h

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    Hammarby TFFHammarby TFFPossession & high press
    vs
    IFK StocksundIFK StocksundBalanced & physical
    The model's lean: 1 · Hammarby TFF (77%)

    Hammarby TFF vs IFK Stocksund · Swedish Ettan

    1 · Hammarby TFF 77%X 13%10% IFK Stocksund · 2

    Analysis: Hammarby TFFIFK Stocksund

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

    Seventy-seven percent. That's the model's bold assertion that Hammarby TFF will emerge victorious against IFK Stocksund. The numbers paint a picture of dominance, not just in probabilities but across multiple facets of the game. With a strong preference for possession and a high-press style, the hosts have effectively used these tactics to accumulate 42 points so far, compared to Stocksund's meager 14.

    The expected goals tell a similar story: 3.09 to 0.90 in favor of Hammarby. Such disparity suggests that the hosts will likely control the game, creating more opportunities and possibly scoring two or three goals, as the most likely scorelines of 3-0 and 2-0 suggest. While Stocksund's physical play can occasionally disrupt possession-oriented teams, their vulnerabilities are plain to see, particularly in their xGA of 1.9 per match.

    However, the small head-to-head sample—just one match since 2023—means we can't lean too heavily on past outcomes between these specific teams. Instead, current form and metrics like the significant gap in xPoints (33.9 to 23.2) are more telling. The high 76% chance of over 2.5 goals reflects the hosts' attacking prowess and the visitors' defensive struggles, while a 57% chance of both teams scoring introduces a sliver of hope for Stocksund finding the net.

    For bettors, the real intrigue lies not just in a Hammarby win but in the manner of it. Could Stocksund sneak a goal in a game otherwise dominated by the hosts? Betfair's odds of 1.80 on Hammarby TFF -1.5 goals offer value for those anticipating a comfortable home victory, aligning with the model's view of a potential multi-goal margin. The numbers scream Hammarby, and unless Stocksund can rewrite the script, expect the hosts to secure a convincing victory.

    Hammarby TFFHammarby TFF
    Form DDLWD
    League ranking xG #5xGA #2xT #1xP/match #6Points #4
    Key players
    • Oskar MoczarnyLWxG 0.17 · xT 0.24
    • Adam JohanssonFxG 0.23 · xT 0.21
    • Noah EkLWxG 0.02 · xT 0.43
    IFK StocksundIFK Stocksund
    Form LLWLL
    League ranking xG #8xGA #31xT #3xP/match #30Points #31
    Key players
    • Yosef RaufFxG 0.41 · xT 0.05
    • Alexander JohanssonCMxG 0.15 · xT 0.57
    • Langston Jasper WennerlindLWxG 0.29 · xT 0.41

    Match prediction: Hammarby TFFIFK Stocksund

    Predicted score matrix

    IFK Stocksund
    Hammarby TFF
    0
    1
    2
    3
    4+
    0
    0–02.0%
    0–11.5%
    0–20.8%
    0–30.2%
    0–4+0.1%
    1
    1–05.6%
    1–15.3%
    1–22.3%
    1–30.7%
    1–4+0.2%
    2
    2–08.8%
    2–18.0%
    2–23.6%
    2–31.1%
    2–4+0.3%
    3
    3–09.1%
    3–18.2%
    3–23.7%
    3–31.1%
    3–4+0.3%
    4+
    4+–015.1%
    4+–113.6%
    4+–26.1%
    4+–31.8%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.3-09%
    2. 2.2-09%
    3. 3.3-18%
    4. 4.2-18%
    5. 5.4-07%
    Expected goals
    3,090,90
    Both teams to score
    57%

    Over/under goals

    Expected goals: 4,0
    Under 2,524%
    Over 2,576%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Hammarby TFF to win77%
    • Over 1.5 goals91%

    Combined probability

    74%

    Fair odds

    1.34

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

    02 · 3 legs

    Balanced

    • Hammarby TFF to win77%
    • Over 2.5 goals76%
    • Oskar Moczarny to score27%

    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 score57%
    • Over 2.5 goals76%
    • Oskar Moczarny to score27%
    • Dary Izia Boto to be booked20%

    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

    Bookmaker1 · Hammarby TFFX2 · IFK Stocksund
    Betsafe1.196.209.20
    Betsson1.196.209.20
    Nordicbet1.196.209.20

    Odds updated 21 Sept, 11:35

    Statistics

    Head-to-head

    1 matches
    Hammarby TFF 1Draw 0IFK Stocksund 0
    Goals: 42 (⌀ 6)

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

    xG & xGA per match — 3-game rolling average

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

    Hammarby TFF
    IFK Stocksund
    When goals are scored and conceded 2026
    Hammarby TFF (4618)
    IFK Stocksund (4358)
    Pass networks

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

    Hammarby TFF
    Noah Ek: 440 passningar, xT 2.61EkJesper Lindahl: 416 passningar, xT 0.89LindahlGent Elezaj: 284 passningar, xT 0.88ElezajBjörn Hedlöf: 211 passningar, xT 0.46HedlöfEssayas Lwampindy-Bofua: 210 passningar, xT -0.36Lwampindy-BofuaCasper Eklund: 184 passningar, xT 0.32EklundAdam Johansson: 177 passningar, xT 0.41JohanssonWilliam Loqvist: 136 passningar, xT 0.02LoqvistOskar Moczarny: 133 passningar, xT 0.2MoczarnySaah L Moses Jr: 129 passningar, xT 0.14JrElton Fischerström Opancar: 88 passningar, xT 0.1Opancar
    IFK Stocksund
    Axel Floric: 188 passningar, xT 0.33FloricDary Izia Boto: 180 passningar, xT 0.12BotoEnzo Stone Gibson Mougnol: 175 passningar, xT 0.14MougnolLangston Jasper Wennerlind: 150 passningar, xT 1.92WennerlindClaus Emilio Royo: 146 passningar, xT 0.11RoyoJames Nene Sibeene: 126 passningar, xT 0.01SibeeneSebastian Lager: 118 passningar, xT 0.08LagerLuka Daniel Mihajlovic: 110 passningar, xT 0.16MihajlovicMax Vogele: 103 passningar, xT 0.52VogeleBen Magnusson: 87 passningar, xT 0.08MagnussonKasper Engström: 83 passningar, xT 0.32Engström
    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 TFF
    Noah Ek: 440 passningar, xT 2.61EkJesper Lindahl: 416 passningar, xT 0.89LindahlGent Elezaj: 284 passningar, xT 0.88ElezajBjörn Hedlöf: 211 passningar, xT 0.46HedlöfEssayas Lwampindy-Bofua: 210 passningar, xT -0.36Lwampindy-BofuaCasper Eklund: 184 passningar, xT 0.32EklundAdam Johansson: 177 passningar, xT 0.41JohanssonWilliam Loqvist: 136 passningar, xT 0.02LoqvistOskar Moczarny: 133 passningar, xT 0.2MoczarnySaah L Moses Jr: 129 passningar, xT 0.14JrElton Fischerström Opancar: 88 passningar, xT 0.1Opancar
    IFK Stocksund
    Axel Floric: 188 passningar, xT 0.33FloricDary Izia Boto: 180 passningar, xT 0.12BotoEnzo Stone Gibson Mougnol: 175 passningar, xT 0.14MougnolLangston Jasper Wennerlind: 150 passningar, xT 1.92WennerlindClaus Emilio Royo: 146 passningar, xT 0.11RoyoJames Nene Sibeene: 126 passningar, xT 0.01SibeeneSebastian Lager: 118 passningar, xT 0.08LagerLuka Daniel Mihajlovic: 110 passningar, xT 0.16MihajlovicMax Vogele: 103 passningar, xT 0.52VogeleBen Magnusson: 87 passningar, xT 0.08MagnussonKasper Engström: 83 passningar, xT 0.32Engström

    The teams in numbers

    PerformanceHammarby TFFIFK Stocksund
    Points4214
    xPoints33.923.2
    xG per match1.61.5
    xGA per match0.811.9
    xG within 8s of winning the ball0.30.31
    xGA within 8s of losing the ball0.230.32
    Playing styleHammarby TFFIFK Stocksund
    Build-up efficiency0.40.34
    Field tilt0.780.5
    xT per match1.61.6
    xTA per match0.741.4
    Won balls, offensive half3325
    Pressing intensity0.580.53
    Pressing efficiency0.270.25
    Pressing efficiency, offensive half0.270.25
    Entries into the box per match2213
    Entries into the box against815
    Pass completion %0.850.81
    Pass completion % under pressure0.820.77
    Passes per match487375
    Passes against per match286347
    Switches of play per match12.812.9
    Long balls per match2528
    Set piecesHammarby TFFIFK Stocksund
    xG from free kicks0.210.23
    Corners per match5.63.8
    Corners against per match3.44.6
    xG per corner0.030.01
    xGA per corner against0.020.04
    First touch, offensive corners %0.410.49
    First touch, defensive corners %0.660.5
    OtherHammarby TFFIFK Stocksund
    Throw-in control0.670.57
    The goalkeepersElton Fischerström Opancar (Hammarby TFF)Jakob Rhawi (IFK Stocksund)
    Saves5172
    Save %76%61%
    xG prevented51%37%
    Claims83 (93%)101 (86%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Hammarby TFF vs IFK Stocksund according to our model?

    The model gives Hammarby TFF a 77% win probability. Full 1X2 picture: Hammarby TFF 77%, draw 13%, IFK Stocksund 10%.

    What is the most likely scoreline?

    The model's most likely final score is 3-0 at 9% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 76% and under at 24%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.