Swedish Ettan

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    ArlandaArlandaCounter-attacks & crosses
    vs
    AFC EskilstunaAFC EskilstunaPossession & high press
    The model's lean: 1 · Arlanda (38%)Soft draw

    Arlanda vs AFC Eskilstuna · Swedish Ettan

    1 · Arlanda 38%X 26%36% AFC Eskilstuna · 2

    Prediction summary

    BetBuilders AI model prediction for Arlanda vs AFC Eskilstuna (Swedish Ettan, Saturday, 31 October 2026): Arlanda win 38%, draw 26%, AFC Eskilstuna win 36%. Expected goals (xG): Arlanda 1.50, AFC Eskilstuna 1.39. Most likely score: 1-1 (12%). Over 2.5 goals 55%, both teams to score 59%. Double chance: Arlanda or draw 64%, AFC Eskilstuna or draw 62%. Prediction updated Friday, 23 October 2026.

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    Analysis: Arlanda – AFC Eskilstuna

    Marcus Johansson · · Analysis from the match model · How the predictions work

    TEXT: A razor-thin margin separates Arlanda and AFC Eskilstuna, as underscored by their near-even odds: Arlanda at 38% and Eskilstuna at 36%. This game isn't just about statistics; it's about styles clashing. Arlanda's counter-attacks and crosses aim to exploit any gaps left by Eskilstuna's high pressing and possession-based game. The hosts might find an edge in their adaptability to capitalize on transition play, which could be crucial given Eskilstuna’s propensity to control the game.

    Despite Arlanda's slight favoritism, Eskilstuna holds the upper hand in key metrics: more points, higher expected goals per match, and a tighter defense. Their 1.4 xG per match versus Arlanda's 1.3, alongside a stingier 1.2 xGA, speaks to their ability to both create and prevent scoring opportunities. However, with Arlanda's 48 points nearly matching Eskilstuna's 50, this isn't a straightforward narrative of domination but one of subtle advantages.

    The model's most likely outcomes—1-1 and 2-1—highlight a probable battle of wits and styles. The expectation of 1.50 to 1.39 in xG suggests a match where each side will have their moments. A likely over 2.5 goals at 55% edges toward a higher-scoring affair, although the defensive capabilities of both teams might suppress that outcome. Yet, the 59% probability of both teams scoring suggests open play, further complicating the prediction.

    Arlanda's counter-attacking flair could disrupt Eskilstuna's rhythm, potentially tilting the scoreline slightly in their favor.

    For bettors, Arlanda's win at odds slightly above or near even money presents a potential value opportunity given the model's lean. With a predicted close contest, the draw at 26% might also tempt those inclined towards a conservative play, but with over 2.5 goals slightly favored, the game's dynamics suggest lively action.

    ArlandaArlanda
    Form WWWLL
    League ranking xG #19xGA #17xT #16xP/match #13Points #6
    Key players
    • Mario ButrosCAMxG 0.11 · xT 0.26
    • Mark GorgosCMxG 0.05 · xT 0.05
    • Leonard KleistRBxG 0.09 · xT 0.16
    AFC EskilstunaAFC Eskilstuna
    League ranking xG #14xGA #11xT #31xP/match #10Points #4
    Key players
    • Aleksandar AzizovicCAMxG 0.26 · xT 0.20
    • Sixten SköldqvistCAMxG 0.16 · xT 0.06
    • Lee HanssonFxG 0.31 · xT 0.17

    Match prediction: Arlanda – AFC Eskilstuna

    Predicted score matrix

    AFC Eskilstuna →
    Arlanda →
    0
    1
    2
    3
    4+
    0
    0–05.9%
    0–17.4%
    0–25.4%
    0–32.5%
    0–4+1.2%
    1
    1–08.0%
    1–111.9%
    1–28.0%
    1–33.7%
    1–4+1.8%
    2
    2–06.3%
    2–18.7%
    2–26.0%
    2–32.8%
    2–4+1.3%
    3
    3–03.1%
    3–14.4%
    3–23.0%
    3–31.4%
    3–4+0.7%
    4+
    4+–01.6%
    4+–12.3%
    4+–21.6%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.1-08%
    5. 5.0-17%
    Expected goals
    1,50–1,39
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    –
    Over 2,555%
    –

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    01 · 2 legs

    Safe

    • Double chance Arlanda or draw (1X)65%
    • Over 1.5 goals79%

    Combined probability

    51%

    Fair odds

    1.94

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

    02 · 3 legs

    Balanced

    • Double chance Arlanda or draw (1X)65%
    • Over 2.5 goals55%
    • Samuel Dawid Rydz 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 score59%
    • Over 2.5 goals55%
    • Samuel Dawid Rydz to score25%
    • Ryan Williams 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

    No odds available yet.

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Arlanda
    AFC Eskilstuna
    When goals are scored and conceded — 2026
    Arlanda (47–34)
    AFC Eskilstuna (52–37)
    Pass networks

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

    Arlanda
    Carl Norberg: 161 passningar, xT 1.92NorbergYoas Yemane: 134 passningar, xT 1.08YemaneErik Johansson Olsson: 134 passningar, xT 0.3OlssonLeonard Kleist: 131 passningar, xT 0.16KleistHjalmar Fredricson: 119 passningar, xT 0.17FredricsonMario Butros: 105 passningar, xT 0.46ButrosIsac Antholm: 60 passningar, xT 0.5AntholmSamuel Dawid Rydz: 44 passningar, xT 0.24RydzAdam Smedberg Lagh: 41 passningar, xT 0.16LaghSaifur Rehman: 39 passningar, xT 0.17RehmanJohn Drugge: 31 passningar, xT 0.07Drugge
    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.

    Arlanda
    Carl Norberg: 161 passningar, xT 1.92NorbergYoas Yemane: 134 passningar, xT 1.08YemaneErik Johansson Olsson: 134 passningar, xT 0.3OlssonLeonard Kleist: 131 passningar, xT 0.16KleistHjalmar Fredricson: 119 passningar, xT 0.17FredricsonMario Butros: 105 passningar, xT 0.46ButrosIsac Antholm: 60 passningar, xT 0.5AntholmSamuel Dawid Rydz: 44 passningar, xT 0.24RydzAdam Smedberg Lagh: 41 passningar, xT 0.16LaghSaifur Rehman: 39 passningar, xT 0.17RehmanJohn Drugge: 31 passningar, xT 0.07Drugge

    The teams in numbers

    PerformanceArlandaAFC Eskilstuna
    Points4850
    xPoints3840
    xG per match1.31.4
    xGA per match1.41.2
    xG within 8s of winning the ball0.220.3
    xGA within 8s of losing the ball0.240.23
    Playing styleArlandaAFC Eskilstuna
    Build-up efficiency0.350.38
    Field tilt0.420.49
    xT per match1.41.1
    xTA per match1.51.5
    Won balls, offensive half3228
    Pressing intensity0.510.52
    Pressing efficiency0.280.24
    Pressing efficiency, offensive half0.30.26
    Entries into the box per match1112
    Entries into the box against1511
    Pass completion %0.730.8
    Pass completion % under pressure0.680.74
    Passes per match257377
    Passes against per match334374
    Switches of play per match1816.2
    Long balls per match3233
    Set piecesArlandaAFC Eskilstuna
    xG from free kicks0.160.14
    Corners per match3.74.6
    Corners against per match4.84.2
    xG per corner0.030.02
    xGA per corner against0.030.04
    First touch, offensive corners %0.420.42
    First touch, defensive corners %0.570.57
    OtherArlandaAFC Eskilstuna
    Throw-in control0.440.54
    The goalkeepersAdam Smedberg Lagh (Arlanda)AFC Eskilstuna
    Saves104–
    Save %76%–
    xG prevented58%–
    Claims149 (93%)–

    Teams & more matches this round

    Frequently asked questions

    Who wins Arlanda vs AFC Eskilstuna according to our model?

    The model gives Arlanda a 38% win probability. Full 1X2 picture: Arlanda 38%, draw 26%, AFC Eskilstuna 36%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 59% according to the model.

    How many goals are expected in Arlanda vs AFC Eskilstuna?

    The model expects 1.50 goals (xG) for Arlanda and 1.39 for AFC Eskilstuna, 2.89 in total.

    What does the model say about double chance?

    Arlanda or draw (1X) 64%, AFC Eskilstuna or draw (X2) 62% and no draw (12) 74%.

    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.