Swedish Ettan18°6,0 mm18 km/h

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    Hammarby TFFHammarby TFFPossession & high press
    00
    KarlbergKarlbergBalanced & physical
    The model's lean: 1 · Hammarby TFF (63%)Best value by the model: 2 · Karlberg @ 6.10 (+3 %)

    Hammarby TFFKarlberg · Swedish Ettan

    1 · Hammarby TFF 63%X 20%17% Karlberg · 2

    Analysis: Hammarby TFFKarlberg

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    Bet365 odds line (1.75) isn’t part of the given data—this is an unsupported claim that should be removed. Otherwise the text matches the facts.

    CORRECTED TEXT:

    A sharp eye on the numbers reveals Hammarby TFF's clear edge over Karlberg, with a 63% probability favoring the hosts. Their possession and high pressing style could dictate the tempo against Karlberg's physical approach. Skewed towards Hammarby TFF, the data suggests a tactical battle where home advantage and defensive solidity might just tip the scales.

    Despite the small head-to-head sample, with only one meeting since 2023, Hammarby TFF emerged victorious, hinting at their potential dominance again. Their 37 points compared to Karlberg's 24 further underscore this, though the xPoints tell a more balanced story, with Karlberg slightly edging it at 28.1 to Hammarby's 27.9. This discrepancy suggests that while Hammarby TFF capitalizes on their chances, Karlberg might be underperforming relative to potential.

    The expected goals metric firmly backs Hammarby TFF, projecting 2.26 xG against Karlberg's 1.05. This aligns with the most likely scorelines of 2-1 and 2-0, indicating a leaning towards a home win. With a probability of 64% for over 2.5 goals and 58% for both teams to score, the metrics anticipate a match where goals should flow, despite the rainfall forecast potentially dampening spirits.

    Significantly, Hammarby TFF boasts a solid defensive record, conceding just 0.82 xGA per match compared to Karlberg's 1.3. This defensive control could be crucial, especially given the expected conditions. Their ability to neutralize threats while maintaining pressure might limit Karlberg's chances, supporting the model's inclination towards a home win.

    In a clash where defenses and playing styles will be pivotal, backing the hosts seems a calculated approach, fitting perfectly with a strategy of favoring stability and defensive control.

    Hammarby TFFHammarby TFF
    Form WWDLD
    League ranking xG #4xGA #2xT #1xP/match #10Points #1
    Key players
    • Oskar MoczarnyLWxG 0.17 · xT 0.26
    • Adam JohanssonFxG 0.24 · xT 0.25
    • Noah EkLWxG 0.03 · xT 0.38
    KarlbergKarlberg
    Form WWLWL
    League ranking xG #8xGA #14xT #11xP/match #9Points #18
    Key players
    • Noah Tesfai NegashLWxG 0.20 · xT 0.28
    • Adam JemalFxG 0.48 · xT 0.19
    • Mattias MitkuFxG 0.27 · xT 0.18
    Final score
    00
    The model missed the outcome
    Predicted probabilities: Hammarby TFF 63% · Draw 20% · Karlberg 17%

    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 3,53fair 4,30-18 %
    Miss
    Matchresultat - Karlbergs BKBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 16,68fair 20,33-18 %
    Miss

    Match prediction: Hammarby TFFKarlberg

    Predicted score matrix

    Karlberg
    Hammarby TFF
    0
    1
    2
    3
    4+
    0
    0–03.9%
    0–13.6%
    0–22.0%
    0–30.7%
    0–4+0.2%
    1
    1–08.0%
    1–18.9%
    1–24.5%
    1–31.6%
    1–4+0.5%
    2
    2–09.4%
    2–19.8%
    2–25.1%
    2–31.8%
    2–4+0.6%
    3
    3–07.0%
    3–17.4%
    3–23.9%
    3–31.3%
    3–4+0.4%
    4+
    4+–06.7%
    4+–17.1%
    4+–23.7%
    4+–31.3%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.2-09%
    3. 3.1-19%
    4. 4.1-08%
    5. 5.3-17%
    Expected goals
    2,261,05
    Both teams to score
    58%

    Over/under goals

    Expected goals: 3,3
    Under 2,536%
    @2.58
    Over 2,564%
    @1.45

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Hammarby TFF to win63%
    • Over 1.5 goals84%

    Combined probability

    56%

    Fair odds

    1.78

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

    02 · 3 legs

    Balanced

    • Hammarby TFF to win63%
    • Over 2.5 goals64%
    • Oskar Moczarny to score34%

    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 score58%
    • Over 2.5 goals64%
    • Oskar Moczarny to score34%
    • Lukas Sietsema 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 2 · Karlberg17% probability@6.10BetsafeEV+3%reference odds
    • 2 · Karlberg17% probability@6.10BetssonEV+3%reference odds
    • 2 · Karlberg17% probability@6.10NordicbetEV+3%reference odds
    Bookmaker1 · Hammarby TFFX2 · Karlberg
    Betsafe1.394.60
    EV+ 3%
    6.10
    Betsson1.394.60
    EV+ 3%
    6.10
    Nordicbet1.394.60
    EV+ 3%
    6.10

    Odds updated 31 Aug, 16:35

    Odds movement

    1-4 %
    67 %62 %

    1.451.39

    X+7 %
    22 %17 %

    4.304.60

    2+11 %
    18 %13 %

    5.506.10

    Betsson · 7 recorded price levels · 26/08/2026 → 31/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Hammarby TFF 1Draw 0Karlberg 0
    Goals: 20 (⌀ 2)

    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
    Karlberg
    When goals are scored and conceded 2026
    Hammarby TFF (4515)
    Karlberg (2828)
    Pass networks

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

    Hammarby TFF
    Noah Ek: 446 passningar, xT 2.49EkJesper Lindahl: 356 passningar, xT 0.91LindahlCasper Eklund: 252 passningar, xT 0.73EklundAdam Johansson: 208 passningar, xT 0.58JohanssonBjörn Hedlöf: 204 passningar, xT 0.29HedlöfKeyano Marrah: 197 passningar, xT 0.43MarrahSaah L Moses Jr: 148 passningar, xT 0.02JrOskar Moczarny: 131 passningar, xT -0.04MoczarnyEssayas Lwampindy-Bofua: 129 passningar, xT 0.12Lwampindy-BofuaWilliam Loqvist: 116 passningar, xT 0.05LoqvistGent Elezaj: 112 passningar, xT 0.47Elezaj
    Karlberg
    Filip Nieminen Eriksson: 182 passningar, xT 0.29ErikssonNoah Tesfai Negash: 178 passningar, xT 0.38NegashLukas Sietsema: 176 passningar, xT 0.33SietsemaRobin Sundgren: 161 passningar, xT 0.14SundgrenViktor Steen: 145 passningar, xT 0.12SteenHugo Åslund: 136 passningar, xT 0.05ÅslundAbiel Sequar: 117 passningar, xT 0.25SequarArgyrios Gkoulios: 116 passningar, xT 0.25GkouliosMattias Mitku: 115 passningar, xT 0.57MitkuAdam Backman: 91 passningar, xT 0.12BackmanAladji Fati: 86 passningar, xT 0.17Fati
    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: 446 passningar, xT 2.49EkJesper Lindahl: 356 passningar, xT 0.91LindahlCasper Eklund: 252 passningar, xT 0.73EklundAdam Johansson: 208 passningar, xT 0.58JohanssonBjörn Hedlöf: 204 passningar, xT 0.29HedlöfKeyano Marrah: 197 passningar, xT 0.43MarrahSaah L Moses Jr: 148 passningar, xT 0.02JrOskar Moczarny: 131 passningar, xT -0.04MoczarnyEssayas Lwampindy-Bofua: 129 passningar, xT 0.12Lwampindy-BofuaWilliam Loqvist: 116 passningar, xT 0.05LoqvistGent Elezaj: 112 passningar, xT 0.47Elezaj
    Karlberg
    Filip Nieminen Eriksson: 182 passningar, xT 0.29ErikssonNoah Tesfai Negash: 178 passningar, xT 0.38NegashLukas Sietsema: 176 passningar, xT 0.33SietsemaRobin Sundgren: 161 passningar, xT 0.14SundgrenViktor Steen: 145 passningar, xT 0.12SteenHugo Åslund: 136 passningar, xT 0.05ÅslundAbiel Sequar: 117 passningar, xT 0.25SequarArgyrios Gkoulios: 116 passningar, xT 0.25GkouliosMattias Mitku: 115 passningar, xT 0.57MitkuAdam Backman: 91 passningar, xT 0.12BackmanAladji Fati: 86 passningar, xT 0.17Fati

    The teams in numbers

    PerformanceHammarby TFFKarlberg
    Points3724
    xPoints27.928.1
    xG per match1.71.6
    xGA per match0.821.3
    xG within 8s of winning the ball0.30.24
    xGA within 8s of losing the ball0.240.36
    Playing styleHammarby TFFKarlberg
    Build-up efficiency0.390.35
    Field tilt0.780.49
    xT per match1.71.5
    xTA per match0.741.5
    Won balls, offensive half3330
    Pressing intensity0.560.52
    Pressing efficiency0.280.24
    Pressing efficiency, offensive half0.280.24
    Entries into the box per match2212
    Entries into the box against814
    Pass completion %0.850.82
    Pass completion % under pressure0.820.77
    Passes per match482367
    Passes against per match273381
    Switches of play per match12.713
    Long balls per match2526
    Set piecesHammarby TFFKarlberg
    xG from free kicks0.220.21
    Corners per match5.84.4
    Corners against per match3.74.1
    xG per corner0.030.04
    xGA per corner against0.020.01
    First touch, offensive corners %0.40.41
    First touch, defensive corners %0.660.64
    OtherHammarby TFFKarlberg
    Throw-in control0.660.6
    The goalkeepersElton Fischerström Opancar (Hammarby TFF)Argyrios Gkoulios (Karlberg)
    Saves3944
    Save %75%70%
    xG prevented55%50%
    Claims73 (95%)61 (91%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Hammarby TFF vs Karlberg according to our model?

    The model gives Hammarby TFF a 63% win probability. Full 1X2 picture: Hammarby TFF 63%, draw 20%, Karlberg 17%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 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 58% 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.