Swedish Ettan7°16 km/h

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    GefleGeflePossession control
    vs
    PiteåPiteåLow block & direct
    The model's lean: 1 · Gefle (51%)

    Gefle vs Piteå · Swedish Ettan

    1 · Gefle 51%X 26%23% Piteå · 2

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    Analysis: Gefle – Piteå

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

    TEXT: Gefle took the only meeting between these sides since the start of 2023. With just one game played, the head-to-head record offers limited insight, but it does align with the broader patterns shaping this clash. The home side has shown better form throughout the season, sitting nine points clear of Piteå in the standings. The model gives Gefle a 51% chance of winning, a nod to their consistent performances and superior squad depth.

    The expected goals model reveals a clearer picture. Gefle's 1.86 expected goals per game suggest they should trouble the Piteå defence regularly, while the visitors' expected goals of 1.11 hint at a more sporadic threat. The contrasting styles—Gefle's possession-based approach against Piteå's defensive, direct play—suggest a tactical battle where the hosts should control much of the game. Gefle's ability to convert possession into meaningful chances could be key, especially given Piteå's vulnerability at the back with an average of 1.8 expected goals against per match.

    Betting on this matchup leans toward a home victory, although it's not a foregone conclusion. The most likely outcomes are tightly contested: 1-1 at 11% and a narrow 2-1 win for Gefle at 10%. The model suggests a 57% likelihood of more than 2.5 goals and the same percentage for both teams to find the net. These figures reflect the potential for goals, particularly given Piteå's defensive frailties, despite Gefle's positional strength.

    There's a sharp betting angle in the market. The over 2.5 goals market offers value given the model's 57% estimation. With both teams likely to score and Gefle's attacking edge, this market stands out as the opportunity to exploit.

    GefleGefle
    Form LWLWL
    League ranking xG #28xGA #17xT #23xP/match #18Points #20
    Key players
    • Adem SipicFxG 0.29 · xT 0.08
    • Måns BerggrenFxG 0.18 · xT 0.04
    • Lukas VikgrenLWxG 0.21 · xT 0.29
    PiteåPiteå
    Form WLLWW
    League ranking xG #31xGA #30xT #30xP/match #31Points #28
    Key players
    • Bekir KavurLWxG 0.02 · xT 0.27
    • Fredrik JohanssonCMxG 0.15 · xT 0.30
    • Jonathan LundbäckFxG 0.23 · xT 0.07

    Match prediction: Gefle – Piteå

    Predicted score matrix

    Piteå →
    Gefle →
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–15.4%
    0–23.1%
    0–31.2%
    0–4+0.4%
    1
    1–09.2%
    1–110.9%
    1–25.9%
    1–32.2%
    1–4+0.8%
    2
    2–08.9%
    2–19.9%
    2–25.5%
    2–32.0%
    2–4+0.7%
    3
    3–05.5%
    3–16.1%
    3–23.4%
    3–31.3%
    3–4+0.4%
    4+
    4+–03.9%
    4+–14.3%
    4+–22.4%
    4+–30.9%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-09%
    4. 4.2-09%
    5. 5.3-16%
    Expected goals
    1,86–1,11
    Both teams to score
    57%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    –
    Over 2,557%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Gefle to win51%
    • Over 1.5 goals80%

    Combined probability

    45%

    Fair odds

    2.21

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

    02 · 3 legs

    Balanced

    • Gefle to win51%
    • Over 2.5 goals57%
    • Lukas Vikgren 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 score57%
    • Over 2.5 goals57%
    • Lukas Vikgren to score34%
    • Mamadou Kouyate 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

    No odds available yet.

    Statistics

    Head-to-head

    1 matches
    Gefle 1Draw 0Piteå 0
    Goals: 2–0 (⌀ 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).

    Gefle
    Piteå
    When goals are scored and conceded — 2026
    Gefle (29–42)
    Piteå (29–45)
    Pass networks

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

    Gefle
    Deniz Yaldir: 210 passningar, xT 0.99YaldirTheodor Hansemon: 207 passningar, xT -0.07HansemonDillan Ismail: 204 passningar, xT 0.13IsmailRasmus Nehrman: 179 passningar, xT 0.42NehrmanKevin Persson: 141 passningar, xT 0.16PerssonMelker Spångberg: 96 passningar, xT -0.12SpångbergMalïk Mokédé: 86 passningar, xT 0.73MokédéLukas Vikgren: 80 passningar, xT 0.83VikgrenMax Croon: 80 passningar, xT 0.49CroonAlen Zahirovic: 69 passningar, xT 0.8ZahirovicMamadou Kouyate: 66 passningar, xT 0.01Kouyate
    Piteå
    Fredrik Johansson: 185 passningar, xT 1.86JohanssonIsac Wikström: 171 passningar, xT 0.09WikströmBekir Kavur: 157 passningar, xT 0.8KavurTies Oostra: 156 passningar, xT 0.21OostraFilip Eriksson: 132 passningar, xT 0.35ErikssonAdam Ingemarson: 106 passningar, xT -0.2IngemarsonJonathan Johnsson: 102 passningar, xT 0.15JohnssonSiavash Jamehdar: 85 passningar, xT 0.1JamehdarAugustin Muyenga: 62 passningar, xT 0.19MuyengaJonathan Lundbäck: 57 passningar, xT 0.12LundbäckLiam Jordan: 55 passningar, xT 0.44Jordan
    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.

    Gefle
    Deniz Yaldir: 210 passningar, xT 0.99YaldirTheodor Hansemon: 207 passningar, xT -0.07HansemonDillan Ismail: 204 passningar, xT 0.13IsmailRasmus Nehrman: 179 passningar, xT 0.42NehrmanKevin Persson: 141 passningar, xT 0.16PerssonMelker Spångberg: 96 passningar, xT -0.12SpångbergMalïk Mokédé: 86 passningar, xT 0.73MokédéLukas Vikgren: 80 passningar, xT 0.83VikgrenMax Croon: 80 passningar, xT 0.49CroonAlen Zahirovic: 69 passningar, xT 0.8ZahirovicMamadou Kouyate: 66 passningar, xT 0.01Kouyate
    Piteå
    Fredrik Johansson: 185 passningar, xT 1.86JohanssonIsac Wikström: 171 passningar, xT 0.09WikströmBekir Kavur: 157 passningar, xT 0.8KavurTies Oostra: 156 passningar, xT 0.21OostraFilip Eriksson: 132 passningar, xT 0.35ErikssonAdam Ingemarson: 106 passningar, xT -0.2IngemarsonJonathan Johnsson: 102 passningar, xT 0.15JohnssonSiavash Jamehdar: 85 passningar, xT 0.1JamehdarAugustin Muyenga: 62 passningar, xT 0.19MuyengaJonathan Lundbäck: 57 passningar, xT 0.12LundbäckLiam Jordan: 55 passningar, xT 0.44Jordan

    The teams in numbers

    PerformanceGeflePiteå
    Points3021
    xPoints32.523.6
    xG per match1.10.98
    xGA per match1.41.8
    xG within 8s of winning the ball0.220.21
    xGA within 8s of losing the ball0.230.34
    Playing styleGeflePiteå
    Build-up efficiency0.360.34
    Field tilt0.430.36
    xT per match1.31.2
    xTA per match1.31.5
    Won balls, offensive half3023
    Pressing intensity0.480.48
    Pressing efficiency0.230.23
    Pressing efficiency, offensive half0.250.24
    Entries into the box per match1110
    Entries into the box against1317
    Pass completion %0.790.79
    Pass completion % under pressure0.740.74
    Passes per match332335
    Passes against per match430409
    Switches of play per match16.717.1
    Long balls per match2929
    Set piecesGeflePiteå
    xG from free kicks0.150.11
    Corners per match4.23.6
    Corners against per match55.8
    xG per corner0.030.03
    xGA per corner against0.030.04
    First touch, offensive corners %0.440.28
    First touch, defensive corners %0.580.55
    OtherGeflePiteå
    Throw-in control0.590.6
    The goalkeepersMax Croon (Gefle)Filip Eriksson (Piteå)
    Saves81102
    Save %66%69%
    xG prevented43%49%
    Claims115 (96%)127 (91%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Gefle vs Piteå according to our model?

    The model gives Gefle a 51% win probability. Full 1X2 picture: Gefle 51%, draw 26%, Piteå 23%.

    What is the most likely scoreline?

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

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.