Swedish Ettan13°0,9 mm16 km/h

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    VasalundVasalundPossession control
    vs
    Hammarby TFFHammarby TFFPossession & high press
    The model's lean: 2 · Hammarby TFF (56%)

    VasalundHammarby TFF · Swedish Ettan

    1 · Vasalund 20%X 23%56% Hammarby TFF · 2

    Analysis: VasalundHammarby TFF

    Sofia Andersson · · The model's read on the match · How the predictions work

    A 56% probability to win gives Hammarby TFF a clear edge against Vasalund, highlighting where bettors should focus. The visitors' superior expected goals (xG) and expected points (xPoints) further support this. With Vasalund's 1.25 expected goals per match falling short against Hammarby TFF's 2.06, the visitors' high press strategy is likely to exploit the hosts' defensive vulnerabilities, as reflected in their 1.6 xGA.

    The most likely scorelines of 1-2 and 0-2 favor Hammarby TFF, suggesting a match leaning towards the visitors' offensive strength. Although the head-to-head record is minimal with just one draw, the broader form context holds more weight. Vasalund's possession control could struggle against the efficiency of Hammarby TFF, whose defense allows only 0.8 xGA per match, pointing to a tough evening for the hosts.

    With a 64% chance for over 2.5 goals, goals should be expected. Yet, the strongest angle is the model's confident lean towards Hammarby TFF winning, sharpening the focus for those seeking an edge.

    VasalundVasalund
    Form WDWLL
    League ranking xG #14xGA #26xT #23xP/match #26Points #25
    Key players
    • Ali KhanLWxG 0.31 · xT 0.43
    • Christopher SliwoFxG 0.57 · xT 0.06
    • Marko NikolicFxG 0.19 · xT 0.21
    Hammarby TFFHammarby TFF
    Form WDLDD
    League ranking xG #4xGA #2xT #1xP/match #6Points #4
    Key players
    • Oskar MoczarnyLWxG 0.17 · xT 0.25
    • Adam JohanssonFxG 0.23 · xT 0.24
    • Noah EkLWxG 0.02 · xT 0.40

    Match prediction: VasalundHammarby TFF

    Predicted score matrix

    Hammarby TFF
    Vasalund
    0
    1
    2
    3
    4+
    0
    0–03.9%
    0–17.2%
    0–27.7%
    0–35.3%
    0–4+4.4%
    1
    1–04.3%
    1–19.7%
    1–29.7%
    1–36.7%
    1–4+5.5%
    2
    2–02.9%
    2–15.9%
    2–26.1%
    2–34.2%
    2–4+3.5%
    3
    3–01.2%
    3–12.5%
    3–22.5%
    3–31.7%
    3–4+1.4%
    4+
    4+–00.5%
    4+–11.0%
    4+–21.0%
    4+–30.7%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-210%
    2. 2.1-110%
    3. 3.0-28%
    4. 4.0-17%
    5. 5.1-37%
    Expected goals
    1,252,06
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    Over 2,564%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Hammarby TFF to win56%
    • Over 1.5 goals85%

    Combined probability

    48%

    Fair odds

    2.07

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

    02 · 3 legs

    Balanced

    • Hammarby TFF to win56%
    • Over 2.5 goals64%
    • Oskar Moczarny 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 score63%
    • Over 2.5 goals64%
    • Oskar Moczarny to score30%
    • Esaias Torppa 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

    No odds available yet.

    Statistics

    Head-to-head

    1 matches
    Vasalund 0Draw 1Hammarby TFF 0
    Goals: 22 (⌀ 4)

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

    xG & xGA per match — 3-game rolling average

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

    Vasalund
    Hammarby TFF
    When goals are scored and conceded 2026
    Vasalund (3241)
    Hammarby TFF (4515)
    Pass networks

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

    Vasalund
    Martin Östergren: 253 passningar, xT 0.34ÖstergrenTobias Westin: 227 passningar, xT 0.52WestinAli Khan: 202 passningar, xT 1.41KhanEsaias Torppa: 177 passningar, xT 0.13TorppaMelvin Vucenovic Persson: 163 passningar, xT 0.44PerssonJohn Lundström: 155 passningar, xT 0.02LundströmFilip Lukic: 119 passningar, xT 0.45LukicMaximilian Dejene: 104 passningar, xT 0.39DejenePetter Soelberg: 101 passningar, xT 0.15SoelbergMelvin Bajrovic: 97 passningar, xT 0.28BajrovicNoel Birgoth: 74 passningar, xT 0.04Birgoth
    Hammarby TFF
    Noah Ek: 475 passningar, xT 2.99EkJesper Lindahl: 406 passningar, xT 0.95LindahlBjörn Hedlöf: 246 passningar, xT 0.44HedlöfAdam Johansson: 203 passningar, xT 0.41JohanssonKeyano Marrah: 197 passningar, xT 0.43MarrahCasper Eklund: 189 passningar, xT 0.69EklundEssayas Lwampindy-Bofua: 180 passningar, xT 0.08Lwampindy-BofuaGent Elezaj: 156 passningar, xT 0.57ElezajWilliam Loqvist: 122 passningar, xT 0.05LoqvistOskar Moczarny: 118 passningar, xT -0.02MoczarnyElton Fischerström Opancar: 89 passningar, xT 0.14Opancar
    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.

    Vasalund
    Martin Östergren: 253 passningar, xT 0.34ÖstergrenTobias Westin: 227 passningar, xT 0.52WestinAli Khan: 202 passningar, xT 1.41KhanEsaias Torppa: 177 passningar, xT 0.13TorppaMelvin Vucenovic Persson: 163 passningar, xT 0.44PerssonJohn Lundström: 155 passningar, xT 0.02LundströmFilip Lukic: 119 passningar, xT 0.45LukicMaximilian Dejene: 104 passningar, xT 0.39DejenePetter Soelberg: 101 passningar, xT 0.15SoelbergMelvin Bajrovic: 97 passningar, xT 0.28BajrovicNoel Birgoth: 74 passningar, xT 0.04Birgoth
    Hammarby TFF
    Noah Ek: 475 passningar, xT 2.99EkJesper Lindahl: 406 passningar, xT 0.95LindahlBjörn Hedlöf: 246 passningar, xT 0.44HedlöfAdam Johansson: 203 passningar, xT 0.41JohanssonKeyano Marrah: 197 passningar, xT 0.43MarrahCasper Eklund: 189 passningar, xT 0.69EklundEssayas Lwampindy-Bofua: 180 passningar, xT 0.08Lwampindy-BofuaGent Elezaj: 156 passningar, xT 0.57ElezajWilliam Loqvist: 122 passningar, xT 0.05LoqvistOskar Moczarny: 118 passningar, xT -0.02MoczarnyElton Fischerström Opancar: 89 passningar, xT 0.14Opancar

    The teams in numbers

    PerformanceVasalundHammarby TFF
    Points2338
    xPoints24.729.6
    xG per match1.41.7
    xGA per match1.60.8
    xG within 8s of winning the ball0.220.31
    xGA within 8s of losing the ball0.350.22
    Playing styleVasalundHammarby TFF
    Build-up efficiency0.360.4
    Field tilt0.540.78
    xT per match1.31.7
    xTA per match1.40.73
    Won balls, offensive half2933
    Pressing intensity0.50.56
    Pressing efficiency0.270.28
    Pressing efficiency, offensive half0.270.28
    Entries into the box per match1422
    Entries into the box against148
    Pass completion %0.80.85
    Pass completion % under pressure0.750.82
    Passes per match373481
    Passes against per match323274
    Switches of play per match17.512.8
    Long balls per match3225
    Set piecesVasalundHammarby TFF
    xG from free kicks0.140.23
    Corners per match4.95.8
    Corners against per match5.13.5
    xG per corner0.040.03
    xGA per corner against0.040.02
    First touch, offensive corners %0.480.38
    First touch, defensive corners %0.60.66
    OtherVasalundHammarby TFF
    Throw-in control0.570.67
    The goalkeepersSindri Olafsson (Vasalund)Elton Fischerström Opancar (Hammarby TFF)
    Saves4541
    Save %66%76%
    xG prevented46%56%
    Claims72 (91%)75 (95%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Vasalund vs Hammarby TFF according to our model?

    The model gives Hammarby TFF a 56% win probability. Full 1X2 picture: Vasalund 20%, draw 23%, Hammarby TFF 56%.

    What is the most likely scoreline?

    The model's most likely final score is 1-2 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 64% and under at 36%.

    Will both teams score?

    The probability of both teams scoring is 63% 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.