Swedish Ettan14°2,4 mm9 km/h

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    HammarbyHammarbyPossession & high press
    vs
    PiteåPiteåPossession control
    The model's lean: 1 · Hammarby (84%)Best value by the model: Over 4,5 @ 2.75 (+6 %)
    Limited dataThe model has thin or uncertain data for this match — the forecast may be unreliable and the match is excluded from our value lists.

    HammarbyPiteå · Swedish Ettan

    1 · Hammarby 84%X 11%5% Piteå · 2

    Analysis: HammarbyPiteå

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

    Hammarby TFF are riding a formidable wave of form with three straight wins. Their ability to find the back of the net in 16 consecutive league clashes sets them up as the clear favorites against Piteå IF FF. The model paints a stark picture with an 84% win probability for Hammarby TFF, suggesting that anything but a win for the home side would be a shocking deviation.

    Piteå IF FF, on the other hand, face an uphill battle, reflected in their meager 5% chance of winning. They've managed only 10 points compared to Hammarby's 36, and their expected goals and goals against metrics show them as vulnerable. The numbers spell out a story of dominance: Hammarby's xG of 1.8 towers over Piteå's 0.84, while defensively, Hammarby concedes around 0.85 xGA per match compared to Piteå's porous 2.1.

    Hammarby TFF's pattern of success against Piteå since 2023 is a clean sweep in their four encounters. While this head-to-head sample is small, it still contributes to the overwhelming narrative of Hammarby's superiority. The expected scorelines of 3-0, 2-0, and 4-0 further underline the home side's attacking prowess and a defense likely to keep Piteå at bay. With a 77% likelihood of the game going over 2.5 goals, the stage seems set for a high-scoring affair, despite the light rain potentially acting as a minor dampener.

    For the punter with an eye for value, bet365 offers odds of 2.05 for Hammarby TFF to cover a -2.5 handicap. Considering Hammarby’s goal-scoring form and Piteå's defensive frailties, this bet appears to hold promise. While football can be unpredictable, the scales are heavily tipped in favor of a comprehensive Hammarby victory.

    HammarbyHammarby
    Form DWWDL
    League ranking xG #1xGA #2xT #1xP/match #8Points #1
    Key players
    • Oskar MoczarnyLWxG 0.17 · xT 0.26
    • Adam JohanssonFxG 0.25 · xT 0.25
    • Noah EkLWxG 0.03 · xT 0.38
    PiteåPiteå
    Form DLLDD
    League ranking xG #32xGA #31xT #30xP/match #32Points #31
    Key players
    • José Segura BonillaFxG 0.33 · xT 0.00
    • Fredrik JohanssonCMxG 0.13 · xT 0.25
    • Bekir KavurLWxG 0.03 · xT 0.25

    Match prediction: HammarbyPiteå

    Predicted score matrix

    Piteå
    Hammarby
    0
    1
    2
    3
    4+
    0
    0–01.8%
    0–11.1%
    0–20.4%
    0–30.1%
    0–4+0.0%
    1
    1–05.6%
    1–14.1%
    1–21.4%
    1–30.3%
    1–4+0.1%
    2
    2–09.7%
    2–16.7%
    2–22.3%
    2–30.5%
    2–4+0.1%
    3
    3–011.0%
    3–17.6%
    3–22.6%
    3–30.6%
    3–4+0.1%
    4+
    4+–022.0%
    4+–115.2%
    4+–25.2%
    4+–31.2%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.3-011%
    2. 2.2-010%
    3. 3.4-09%
    4. 4.3-18%
    5. 5.2-17%
    Expected goals
    3,390,69
    Both teams to score
    48%

    Over/under goals

    Expected goals: 4,1
    Under 2,523%
    @3.15
    Over 2,577%
    @1.31EV+1%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Hammarby to win84%
    • Over 1.5 goals91%

    Combined probability

    81%

    Fair odds

    1.23

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

    02 · 3 legs

    Balanced

    • Hammarby to win84%
    • Over 2.5 goals77%
    • William Gibson to score42%

    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 score48%
    • Over 2.5 goals77%
    • William Gibson to score42%
    • Fredrik Johansson 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+).

    • Over 4.539% probability@2.75BetsafeEV+6%reference odds
    • Over 4.539% probability@2.75BetssonEV+6%reference odds
    • Over 4.539% probability@2.75NordicbetEV+6%reference odds
    Bookmaker1 · HammarbyX2 · Piteå
    Betsafe1.078.9019.00
    Betsson1.078.9019.00
    Nordicbet1.078.9019.00

    Odds updated 19 Aug, 04:36

    Odds movement

    Market signal

    The market has moved clearly towards a Hammarby win since 18 August — the odds have shortened from 1.17 to 1.07 (−9%).

    1-9 %
    86 %76 %

    1.171.07

    X+44 %
    17 %7 %

    6.208.90

    2+65 %
    11 %1 %

    11.5019.00

    Betsson · 7 recorded price levels · 18/08/2026 → 19/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    1 matches
    Hammarby 1Draw 0Piteå 0
    Goals: 41 (⌀ 5)

    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
    Piteå
    When goals are scored and conceded 2026
    Hammarby (4414)
    Piteå (1735)
    Pass networks

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

    Hammarby
    Noah Ek: 440 passningar, xT 2.95EkJesper Lindahl: 352 passningar, xT 0.93LindahlCasper Eklund: 341 passningar, xT 0.85EklundAdam Johansson: 224 passningar, xT 0.43JohanssonKeyano Marrah: 204 passningar, xT 0.46MarrahOskar Moczarny: 167 passningar, xT 0.3MoczarnySaah L Moses Jr: 160 passningar, xT 0.03JrEssayas Lwampindy-Bofua: 144 passningar, xT -0.05Lwampindy-BofuaWilliam Loqvist: 118 passningar, xT -0.02LoqvistGustav Andrén: 99 passningar, xT 0.11AndrénBjörn Hedlöf: 92 passningar, xT 0.05Hedlöf
    Piteå
    Henrik Millbert: 285 passningar, xT 0.61MillbertBekir Kavur: 273 passningar, xT 1.07KavurAdam Ingemarson: 239 passningar, xT 0.38IngemarsonFredrik Johansson: 209 passningar, xT 1.33JohanssonLiam Jordan: 162 passningar, xT 0.64JordanFilip Eriksson: 150 passningar, xT 0.28ErikssonHugo Bergström: 142 passningar, xT 0.11BergströmIsac Wikström: 113 passningar, xT 0.1WikströmJonathan Johnsson: 101 passningar, xT 0.03JohnssonCarl Mujaguzi: 78 passningar, xT 0.06MujaguziSiavash Jamehdar: 77 passningar, xT -0.14Jamehdar
    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
    Noah Ek: 440 passningar, xT 2.95EkJesper Lindahl: 352 passningar, xT 0.93LindahlCasper Eklund: 341 passningar, xT 0.85EklundAdam Johansson: 224 passningar, xT 0.43JohanssonKeyano Marrah: 204 passningar, xT 0.46MarrahOskar Moczarny: 167 passningar, xT 0.3MoczarnySaah L Moses Jr: 160 passningar, xT 0.03JrEssayas Lwampindy-Bofua: 144 passningar, xT -0.05Lwampindy-BofuaWilliam Loqvist: 118 passningar, xT -0.02LoqvistGustav Andrén: 99 passningar, xT 0.11AndrénBjörn Hedlöf: 92 passningar, xT 0.05Hedlöf
    Piteå
    Henrik Millbert: 285 passningar, xT 0.61MillbertBekir Kavur: 273 passningar, xT 1.07KavurAdam Ingemarson: 239 passningar, xT 0.38IngemarsonFredrik Johansson: 209 passningar, xT 1.33JohanssonLiam Jordan: 162 passningar, xT 0.64JordanFilip Eriksson: 150 passningar, xT 0.28ErikssonHugo Bergström: 142 passningar, xT 0.11BergströmIsac Wikström: 113 passningar, xT 0.1WikströmJonathan Johnsson: 101 passningar, xT 0.03JohnssonCarl Mujaguzi: 78 passningar, xT 0.06MujaguziSiavash Jamehdar: 77 passningar, xT -0.14Jamehdar

    The teams in numbers

    PerformanceHammarbyPiteå
    Points3611
    xPoints2713.2
    xG per match1.70.85
    xGA per match0.832
    xG within 8s of winning the ball0.310.22
    xGA within 8s of losing the ball0.250.44
    Playing styleHammarbyPiteå
    Build-up efficiency0.390.33
    Field tilt0.770.38
    xT per match1.71.1
    xTA per match0.761.4
    Won balls, offensive half3323
    Pressing intensity0.550.47
    Pressing efficiency0.290.24
    Pressing efficiency, offensive half0.280.25
    Entries into the box per match2210
    Entries into the box against817
    Pass completion %0.850.8
    Pass completion % under pressure0.810.74
    Passes per match474354
    Passes against per match276400
    Switches of play per match12.616.4
    Long balls per match2428
    Set piecesHammarbyPiteå
    xG from free kicks0.230.12
    Corners per match5.63.4
    Corners against per match3.85.8
    xG per corner0.030.01
    xGA per corner against0.020.04
    First touch, offensive corners %0.410.33
    First touch, defensive corners %0.650.58
    OtherHammarbyPiteå
    Throw-in control0.670.62
    The goalkeepersElton Fischerström Opancar (Hammarby)Filip Eriksson (Piteå)
    Saves3679
    Save %75%69%
    xG prevented55%49%
    Claims72 (96%)93 (92%)

    Frequently asked questions

    Who wins Hammarby vs Piteå according to our model?

    The model gives Hammarby a 84% win probability. Full 1X2 picture: Hammarby 84%, draw 11%, Piteå 5%.

    What is the most likely scoreline?

    The model's most likely final score is 3-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 77% and under at 23%.

    Will both teams score?

    The probability of both teams scoring is 48% 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.