Swedish Ettan15°1,4 mm12 km/h

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    AFC EskilstunaAFC EskilstunaPossession control
    vs
    PiteåPiteåLow block & direct
    The model's lean: 1 · AFC Eskilstuna (58%)Best value by the model: Under 2,5 @ 2.48 (+20 %)

    AFC EskilstunaPiteå · Swedish Ettan

    1 · AFC Eskilstuna 58%X 22%19% Piteå · 2

    Analysis: AFC EskilstunaPiteå

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

    TEXT: AFC Eskilstuna's possession-oriented style is set to clash with Piteå's low defence and direct approach in a game that leans heavily towards Eskilstuna. With Eskilstuna boasting 58% win probability and Piteå struggling at 19%, the numbers paint a clear picture. The expected goals — 1.84 for Eskilstuna versus 0.91 for Piteå — suggest Eskilstuna will likely control the proceedings with a strong emphasis on maintaining possession, while Piteå may find themselves pinned back, relying on counter-attacks.

    The most likely scorelines are tightly grouped around a narrow victory for Eskilstuna: 1-0, 1-1, or 2-0, each sitting at an 11% likelihood. Despite these, the over 2.5 goals probability is marginally above the halfway mark at 52%, with both teams to score at 51%. A wet pitch, with 6 mm of rain forecasted, could slow the game down and suppress goal-scoring opportunities, a factor already considered in the model's probabilities.

    Eskilstuna holds a significant edge over Piteå in both traditional points (37 to 15) and expected points (29.6 to 18.6), reinforcing the expected superiority on match day. Their superior xG of 1.4 per match against Piteå's 0.97 underscores the offensive advantage, while defensively, Eskilstuna's xGA of 1.3 is notably better than Piteå's worrying 1.9.

    The value lies in the betting markets, particularly in the under 2.5 goals line. Odds of 2.42 on Betsafe, Betsson, and Nordicbet provide a 17% edge, based on the model's assessment of a 48% chance for the under. This statistical advantage makes it a sharp play in a game where Eskilstuna should edge toward a tight victory, likely 1-0 or 2-0.

    AFC EskilstunaAFC Eskilstuna
    League ranking xG #16xGA #13xT #31xP/match #12Points #6
    Key players
    • Robin BjörkmanFxG 0.27 · xT 0.10
    • Lee HanssonFxG 0.34 · xT 0.21
    • Albin FlodkvistFxG 0.30 · xT -0.01
    PiteåPiteå
    Form DDDLW
    League ranking xG #32xGA #30xT #30xP/match #32Points #29
    Key players
    • Bekir KavurLWxG 0.02 · xT 0.28
    • Fredrik JohanssonCMxG 0.12 · xT 0.26
    • Liam JordanRWxG 0.09 · xT 0.18

    Match prediction: AFC EskilstunaPiteå

    Predicted score matrix

    Piteå
    AFC Eskilstuna
    0
    1
    2
    3
    4+
    0
    0–06.7%
    0–15.5%
    0–22.6%
    0–30.8%
    0–4+0.2%
    1
    1–011.5%
    1–111.0%
    1–24.9%
    1–31.5%
    1–4+0.4%
    2
    2–010.8%
    2–19.8%
    2–24.5%
    2–31.4%
    2–4+0.4%
    3
    3–06.6%
    3–16.0%
    3–22.7%
    3–30.8%
    3–4+0.2%
    4+
    4+–04.6%
    4+–14.2%
    4+–21.9%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-011%
    2. 2.1-111%
    3. 3.2-011%
    4. 4.2-110%
    5. 5.0-07%
    Expected goals
    1,840,91
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,7
    Under 2,548%
    @2.48EV+20%
    Over 2,552%
    @1.48

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • AFC Eskilstuna to win58%
    • Over 1.5 goals76%

    Combined probability

    47%

    Fair odds

    2.11

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

    02 · 3 legs

    Balanced

    • AFC Eskilstuna to win58%
    • Over 2.5 goals52%
    • Armin Culum to score25%

    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 score51%
    • Over 2.5 goals52%
    • Armin Culum to score25%
    • Ryan Williams to be booked19%

    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 2.548% probability@2.48BetsafeEV+20%reference odds
    • Under 2.548% probability@2.48BetssonEV+20%reference odds
    • Under 2.548% probability@2.48NordicbetEV+20%reference odds
    Bookmaker1 · AFC EskilstunaX2 · Piteå
    Betsafe1.553.954.80
    Betsson1.553.954.80
    Nordicbet1.553.954.80

    Odds updated 11 Sept, 15:38

    Odds movement

    1-2 %
    60 %55 %

    1.581.55

    X0 %
    25 %20 %

    3.953.95

    2+4 %
    22 %17 %

    4.604.80

    Over 2,5-1 %
    65 %60 %

    1.501.48

    Betsson · 6 recorded price levels · 08/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    AFC Eskilstuna
    Piteå
    When goals are scored and conceded 2026
    AFC Eskilstuna (3527)
    Piteå (2440)
    Pass networks

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

    Piteå
    Fredrik Johansson: 209 passningar, xT 1.77JohanssonBekir Kavur: 173 passningar, xT 1.22KavurAdam Ingemarson: 137 passningar, xT 0.37IngemarsonIsac Wikström: 136 passningar, xT 0.1WikströmJonathan Johnsson: 115 passningar, xT 0.34JohnssonLiam Jordan: 98 passningar, xT 0.3JordanFilip Eriksson: 96 passningar, xT 0.35ErikssonHugo Bergström: 79 passningar, xT 0.29BergströmSiavash Jamehdar: 75 passningar, xT 0.08JamehdarQuincy Hoeve: 54 passningar, xT -0.07HoeveHannes Näslund: 49 passningar, xT -0.1Näslund
    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.

    Piteå
    Fredrik Johansson: 209 passningar, xT 1.77JohanssonBekir Kavur: 173 passningar, xT 1.22KavurAdam Ingemarson: 137 passningar, xT 0.37IngemarsonIsac Wikström: 136 passningar, xT 0.1WikströmJonathan Johnsson: 115 passningar, xT 0.34JohnssonLiam Jordan: 98 passningar, xT 0.3JordanFilip Eriksson: 96 passningar, xT 0.35ErikssonHugo Bergström: 79 passningar, xT 0.29BergströmSiavash Jamehdar: 75 passningar, xT 0.08JamehdarQuincy Hoeve: 54 passningar, xT -0.07HoeveHannes Näslund: 49 passningar, xT -0.1Näslund

    The teams in numbers

    PerformanceAFC EskilstunaPiteå
    Points3715
    xPoints29.618.6
    xG per match1.40.97
    xGA per match1.31.9
    xG within 8s of winning the ball0.340.25
    xGA within 8s of losing the ball0.190.39
    Playing styleAFC EskilstunaPiteå
    Build-up efficiency0.380.33
    Field tilt0.450.36
    xT per match1.11.2
    xTA per match1.41.4
    Won balls, offensive half2822
    Pressing intensity0.490.47
    Pressing efficiency0.220.23
    Pressing efficiency, offensive half0.240.24
    Entries into the box per match1210
    Entries into the box against1217
    Pass completion %0.80.8
    Pass completion % under pressure0.730.75
    Passes per match358342
    Passes against per match402416
    Switches of play per match16.416.8
    Long balls per match3228
    Set piecesAFC EskilstunaPiteå
    xG from free kicks0.140.12
    Corners per match4.43.7
    Corners against per match4.35.7
    xG per corner0.020.03
    xGA per corner against0.040.03
    First touch, offensive corners %0.450.31
    First touch, defensive corners %0.560.57
    OtherAFC EskilstunaPiteå
    Throw-in control0.550.62
    The goalkeepersAFC EskilstunaFilip Eriksson (Piteå)
    Saves87
    Save %69%
    xG prevented50%
    Claims106 (91%)

    Teams & more matches this round

    Frequently asked questions

    Who wins AFC Eskilstuna vs Piteå according to our model?

    The model gives AFC Eskilstuna a 58% win probability. Full 1X2 picture: AFC Eskilstuna 58%, draw 22%, Piteå 19%.

    What is the most likely scoreline?

    The model's most likely final score is 1-0 at 11% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 52% and under at 48%.

    Will both teams score?

    The probability of both teams scoring is 51% 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.