Swedish Ettan12°0,9 mm16 km/h

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    Umeå FCUmeå FCPossession control
    vs
    Hammarby TFFHammarby TFFPossession & high press
    The model's lean: 2 · Hammarby TFF (57%)Best value by the model: Under 2,5 @ 2.40 (+11 %)

    Umeå FC vs Hammarby TFF · Swedish Ettan

    1 · Umeå FC 22%X 22%57% Hammarby TFF · 2

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    Analysis: Umeå FC – Hammarby TFF

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

    TEXT: Umeå FC's possession control style faces a stern test against Hammarby TFF's high press, a tactical contrast that favors the visitors. Hammarby TFF's ability to disrupt possession with relentless pressing is a nightmare for teams that rely on controlling the ball, giving them a clear edge in this matchup. The model backs this up with a 57% win probability for Hammarby and the odds suggesting a likely 1-1 or 0-1 scoreline.

    The numbers tell a compelling story. Umeå has managed to score an average of 1.6 xG per match, which matches their opponents, but their defensive frailties are laid bare with an xGA of 1.6 compared to Hammarby's much sturdier 0.81. This defensive disparity could be the decisive factor. Despite Umeå's past head-to-head win, it's only one match; a sample size that's too small to outweigh current form and expected goals.

    Hammarby TFF's superior points total of 45 compared to Umeå's 29 is reflected in their slight xPoints lead, indicating they've been more efficient in converting chances into results. With both teams averaging 1.6 xG per game, the 54% chance of over 2.5 goals speaks to the potential for action, though Umeå's leaky defense might see them struggle to keep Hammarby at bay.

    Given these dynamics, the most likely outcome is a 1-2 victory for Hammarby TFF. The visitors' robust press combined with Umeå's defensive vulnerabilities points towards a match where the away side capitalizes on errors. The model's 57% win probability for Hammarby reflects this lean, offering a data-backed view for those weighing the match.

    Umeå FCUmeå FC
    Form WLWWL
    League ranking xG #4xGA #26xT #26xP/match #12Points #22
    Key players
    • Stefan LindmarkCMxG 0.06 · xT 0.30
    • Emmanuel OlaworeRWxG 0.24 · xT 0.35
    • Robin HadadFxG 0.66 · xT -0.02
    Hammarby TFFHammarby TFF
    Form LWDLW
    League ranking xG #5xGA #3xT #2xP/match #8Points #4
    Key players
    • Oskar MoczarnyLWxG 0.18 · xT 0.25
    • Noah EkLWxG 0.02 · xT 0.40
    • Jesper LindahlCBxG 0.06 · xT 0.22

    Match prediction: Umeå FC – Hammarby TFF

    Predicted score matrix

    Hammarby TFF →
    Umeå FC →
    0
    1
    2
    3
    4+
    0
    0–06.2%
    0–19.8%
    0–28.7%
    0–35.0%
    0–4+3.2%
    1
    1–06.2%
    1–111.6%
    1–29.7%
    1–35.5%
    1–4+3.5%
    2
    2–03.6%
    2–16.3%
    2–25.4%
    2–33.1%
    2–4+1.9%
    3
    3–01.4%
    3–12.3%
    3–22.0%
    3–31.1%
    3–4+0.7%
    4+
    4+–00.5%
    4+–10.8%
    4+–20.7%
    4+–30.4%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-110%
    3. 3.1-210%
    4. 4.0-29%
    5. 5.2-16%
    Expected goals
    1,11–1,72
    Both teams to score
    55%

    Over/under goals

    Expected goals: 2,8
    Under 2,546%
    @2.40EV+3%
    Over 2,554%
    @1.58

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Hammarby TFF to win57%
    • Over 1.5 goals78%

    Combined probability

    41%

    Fair odds

    2.42

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

    02 · 3 legs

    Balanced

    • Hammarby TFF to win57%
    • Over 2.5 goals54%
    • William Gibson to score26%

    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 score55%
    • Over 2.5 goals54%
    • William Gibson to score26%
    • Fredrick Udoh Godwin to be booked22%

    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 2.546% probability@2.40BetssonEV+11%reference odds
    • Under 3.569% probability@1.58BetssonEV+8%reference odds
    • Under 1.522% probability@4.80BetssonEV+7%reference odds
    Bookmaker1 · Umeå FCX2 · Hammarby TFF
    Betsafe4.303.801.65
    Betsson4.203.851.65
    Nordicbet4.303.801.65

    Odds updated 2 Oct, 10:35

    Odds movement

    1+2 %
    24 %19 %

    4.20 → 4.30

    X-1 %
    26 %21 %

    3.85 → 3.80

    20 %
    58 %53 %

    1.65 → 1.65

    Nordicbet · 6 recorded price levels · 29/09/2026 → 02/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Umeå FC 1Draw 0Hammarby TFF 0
    Goals: 2–1 (⌀ 3)

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

    xG & xGA per match — 3-game rolling average

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

    Umeå FC
    Hammarby TFF
    When goals are scored and conceded — 2026
    Umeå FC (32–40)
    Hammarby TFF (50–23)
    Pass networks

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

    Umeå FC
    David Ekman: 240 passningar, xT 0.47EkmanNeo Lindén: 180 passningar, xT 0.36LindénRasmus Andersson: 163 passningar, xT 0.43AnderssonJerry Essombe Mambingo: 161 passningar, xT 0.25MambingoSimon Wagnsson: 160 passningar, xT 0.3WagnssonFredrick Udoh Godwin: 140 passningar, xT 0.41GodwinMusa Njie: 84 passningar, xT 0.72NjiePontus Eriksson: 64 passningar, xT 0.26ErikssonSam Forsman: 55 passningar, xT 0.8ForsmanIsak Johansson: 54 passningar, xT 0.52JohanssonSteve Zishim Bawa: 48 passningar, xT 0.17Bawa
    Hammarby TFF
    Noah Ek: 371 passningar, xT 1.74EkJesper Lindahl: 353 passningar, xT 1.03LindahlCasper Eklund: 325 passningar, xT 0.38EklundSaah L Moses Jr: 229 passningar, xT 0.2JrGent Elezaj: 196 passningar, xT 0.31ElezajEssayas Lwampindy-Bofua: 180 passningar, xT -0.45Lwampindy-BofuaAdam Johansson: 178 passningar, xT 0.49JohanssonOskar Moczarny: 156 passningar, xT 0.38MoczarnyGustav Andrén: 79 passningar, xT 0.28AndrénImran Musa: 79 passningar, xT 0.07MusaWilliam Loqvist: 76 passningar, xT -0.15Loqvist
    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.

    Umeå FC
    David Ekman: 240 passningar, xT 0.47EkmanNeo Lindén: 180 passningar, xT 0.36LindénRasmus Andersson: 163 passningar, xT 0.43AnderssonJerry Essombe Mambingo: 161 passningar, xT 0.25MambingoSimon Wagnsson: 160 passningar, xT 0.3WagnssonFredrick Udoh Godwin: 140 passningar, xT 0.41GodwinMusa Njie: 84 passningar, xT 0.72NjiePontus Eriksson: 64 passningar, xT 0.26ErikssonSam Forsman: 55 passningar, xT 0.8ForsmanIsak Johansson: 54 passningar, xT 0.52JohanssonSteve Zishim Bawa: 48 passningar, xT 0.17Bawa
    Hammarby TFF
    Noah Ek: 371 passningar, xT 1.74EkJesper Lindahl: 353 passningar, xT 1.03LindahlCasper Eklund: 325 passningar, xT 0.38EklundSaah L Moses Jr: 229 passningar, xT 0.2JrGent Elezaj: 196 passningar, xT 0.31ElezajEssayas Lwampindy-Bofua: 180 passningar, xT -0.45Lwampindy-BofuaAdam Johansson: 178 passningar, xT 0.49JohanssonOskar Moczarny: 156 passningar, xT 0.38MoczarnyGustav Andrén: 79 passningar, xT 0.28AndrénImran Musa: 79 passningar, xT 0.07MusaWilliam Loqvist: 76 passningar, xT -0.15Loqvist

    The teams in numbers

    PerformanceUmeå FCHammarby TFF
    Points2945
    xPoints34.636.4
    xG per match1.61.6
    xGA per match1.60.81
    xG within 8s of winning the ball0.290.29
    xGA within 8s of losing the ball0.260.22
    Playing styleUmeå FCHammarby TFF
    Build-up efficiency0.330.4
    Field tilt0.410.78
    xT per match1.31.6
    xTA per match1.50.72
    Won balls, offensive half2833
    Pressing intensity0.440.58
    Pressing efficiency0.270.27
    Pressing efficiency, offensive half0.290.28
    Entries into the box per match1322
    Entries into the box against158
    Pass completion %0.780.85
    Pass completion % under pressure0.710.82
    Passes per match321485
    Passes against per match359287
    Switches of play per match17.213.3
    Long balls per match3126
    Set piecesUmeå FCHammarby TFF
    xG from free kicks0.150.19
    Corners per match5.85.6
    Corners against per match5.53.4
    xG per corner0.060.03
    xGA per corner against0.030.02
    First touch, offensive corners %0.250.42
    First touch, defensive corners %0.510.65
    OtherUmeå FCHammarby TFF
    Throw-in control0.550.67
    The goalkeepersPontus Eriksson (Umeå FC)Elton Fischerström Opancar (Hammarby TFF)
    Saves5455
    Save %67%72%
    xG prevented45%46%
    Claims71 (92%)88 (94%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Umeå FC vs Hammarby TFF according to our model?

    The model gives Hammarby TFF a 57% win probability. Full 1X2 picture: Umeå FC 22%, draw 22%, Hammarby TFF 57%.

    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 54% and under at 46%.

    Will both teams score?

    The probability of both teams scoring is 55% 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.