Swedish Ettan18°0,2 mm20 km/h

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    Hammarby TFFHammarby TFFPossession & high press
    11
    PiteåPiteåPossession control
    The model's lean: 1 · Hammarby TFF (77%)Best value by the model: X · Draw @ 7.90 (+14 %)

    Hammarby TFFPiteå · Swedish Ettan

    1 · Hammarby TFF 77%X 14%8% Piteå · 2

    Analysis: Hammarby TFFPiteå

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

    Hammarby TFF enters this clash against Piteå as the overwhelming favorites, with a hefty 77% win probability forecasted by the model. The expected goals tell a similar story, predicting a 3.00 to 0.67 advantage for the hosts. Such a statistical gap suggests a dominant performance is on the cards, with scorelines like 2-0, 3-0, and even 4-0 appearing most probable. The possession-heavy style of Hammarby, coupled with a high press, is likely to overpower Piteå’s more controlled approach.

    Despite the small head-to-head sample size, where Hammarby secured the lone victory, the substantial point and xPoints disparities are hard to ignore. Hammarby has amassed 36 points to Piteå’s mere 11, and their xPoints further underline their superiority. The hosts’ xG and xGA metrics bolster this narrative, with Hammarby creating twice as much expected goal output per match as their opponents while conceding significantly less.

    However, for punters with an appetite for risk, the market does present some intriguing value opportunities. The draw is priced at 7.9 with both Betsafe and Betsson, offering a 14% edge according to the model. Meanwhile, Piteå’s victory is also valued at 13.5 with Betsafe, marrying long odds with a 13% edge. Although these outcomes are unlikely, given the game’s dynamics, they do carry a statistical edge worth considering.

    As for goals, the match leans heavily towards the over 2.5 mark, with a 71% likelihood. However, it's less clear whether both teams will find the net, with that probability at 47%. Given Hammarby’s robust defensive record and Piteå’s struggles in front of goal, a clean sheet for the hosts seems more plausible.

    In essence, while Hammarby should comfortably claim the points, the calculated risk for value hunters lies in betting on a draw or a surprise away win, where the odds far exceed the typical expectations.

    Hammarby TFFHammarby TFF
    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
    Final score
    11
    The model missed the outcome
    Predicted probabilities: Hammarby TFF 77% · Draw 14% · Piteå 8%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Hammarby TFFBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,28fair 3,65-10 %
    Miss
    Matchresultat - Piteå IFBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 49,19fair 78,19-37 %
    Miss

    Match prediction: Hammarby TFFPiteå

    Predicted score matrix

    Piteå
    Hammarby TFF
    0
    1
    2
    3
    4+
    0
    0–02.7%
    0–11.6%
    0–20.6%
    0–30.1%
    0–4+0.0%
    1
    1–07.5%
    1–15.3%
    1–21.7%
    1–30.4%
    1–4+0.1%
    2
    2–011.4%
    2–17.7%
    2–22.6%
    2–30.6%
    2–4+0.1%
    3
    3–011.4%
    3–17.7%
    3–22.6%
    3–30.6%
    3–4+0.1%
    4+
    4+–017.9%
    4+–112.1%
    4+–24.1%
    4+–30.9%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-011%
    2. 2.3-011%
    3. 3.4-09%
    4. 4.2-18%
    5. 5.3-18%
    Expected goals
    3,000,67
    Both teams to score
    47%

    Over/under goals

    Expected goals: 3,7
    Under 2,529%
    @3.00
    Over 2,571%
    @1.33

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Hammarby TFF to win77%
    • Over 1.5 goals88%

    Combined probability

    76%

    Fair odds

    1.32

    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 goals71%
    • Oskar Moczarny 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 score47%
    • Over 2.5 goals71%
    • Oskar Moczarny to score33%
    • Fredrik Johansson 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+).

    • X · Draw14% probability@7.90BetsafeEV+14%reference odds
    • X · Draw14% probability@7.90BetssonEV+14%reference odds
    • 2 · Piteå8% probability@13.50BetsafeEV+13%reference odds
    Bookmaker1 · Hammarby TFFX2 · Piteå
    Betsafe1.11
    EV+ 14%
    7.90
    EV+ 13%
    13.50
    Betsson1.11
    EV+ 14%
    7.90
    EV+ 13%
    13.50

    Odds updated 21 Aug, 10:43

    Statistics

    Head-to-head

    1 matches
    Hammarby TFF 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 TFF
    Piteå
    When goals are scored and conceded 2026
    Hammarby TFF (4414)
    Piteå (1735)
    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 2.95EkJesper 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 TFF
    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

    PerformanceHammarby TFFPiteå
    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 styleHammarby TFFPiteå
    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 piecesHammarby TFFPiteå
    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
    OtherHammarby TFFPiteå
    Throw-in control0.670.62
    The goalkeepersElton Fischerström Opancar (Hammarby TFF)Filip Eriksson (Piteå)
    Saves3679
    Save %75%69%
    xG prevented55%49%
    Claims72 (96%)93 (92%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Hammarby TFF vs Piteå according to our model?

    The model gives Hammarby TFF a 77% win probability. Full 1X2 picture: Hammarby TFF 77%, draw 14%, Piteå 8%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 71% and under at 29%.

    Will both teams score?

    The probability of both teams scoring is 47% 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.