Swedish Ettan9°6,1 mm34 km/h

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    AFC EskilstunaAFC EskilstunaPossession & high press
    vs
    IFK StocksundIFK StocksundPossession control
    The model's lean: 1 · AFC Eskilstuna (63%)Best value by the model: 2 · IFK Stocksund @ 11.50 (+114 %)

    AFC Eskilstuna vs IFK Stocksund · Swedish Ettan

    1 · AFC Eskilstuna 63%X 19%19% IFK Stocksund · 2

    Prediction summary

    BetBuilders AI model prediction for AFC Eskilstuna vs IFK Stocksund (Swedish Ettan, Sunday, 25 October 2026): AFC Eskilstuna win 63%, draw 19%, IFK Stocksund win 19%. Expected goals (xG): AFC Eskilstuna 2.32, IFK Stocksund 1.11. Most likely score: 2-1 (10%). Over 2.5 goals 67%, both teams to score 61%. Double chance: AFC Eskilstuna or draw 81%, IFK Stocksund or draw 37%. Prediction updated Saturday, 17 October 2026.

    Bet on this match

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    Analysis: AFC Eskilstuna – IFK Stocksund

    Anna Karlsson · · A data-driven preview · How the predictions work

    TEXT:

    In their limited encounters, AFC Eskilstuna and IFK Stocksund have yet to etch a definitive narrative, so the focus shifts to current form and expectations. The home side sits comfortably with 50 points in the league, dwarfing Stocksund's mere 15. This pronounced gap highlights Eskilstuna's dominance and underscores the model's confidence in a home victory, projecting a 63% likelihood. The possession-focused hosts, with their high press, appear set to control the tempo.

    Eskilstuna's expected goals per match hold steady at 1.4, matching Stocksund's metric. However, Eskilstuna's more robust defense, allowing only 1.2 expected goals against (xGA) compared to Stocksund's 1.8, gives them the clear edge. This defensive resilience, combined with home advantage, suggests that the visitors will struggle to find the net frequently, even with their own possession-oriented style. The model's most likely scorelines—2-1, 2-0, and 1-1—do not clearly point to a low-scoring game, especially since the model also gives over 2.5 goals a 67% probability.

    However, the betting angle paints an intriguing picture. Despite the model forecasting a 67% chance of over 2.5 goals, the unexpected value lies in the under. Betsafe and Nordicbet both offer odds of 4.05 for under 2.5 goals, presenting a significant 35% value edge according to the model's 33% probability estimation. This counterintuitive opportunity could appeal to those seeking potential high returns against the grain of conventional expectations.

    In terms of the outright winner, while the odds heavily favor Eskilstuna, the considerable value on an away win at 7.2 with Betsafe cannot be ignored, given the model also rates it with a 34% edge. Yet, it's the under 2.5 goals market where the sharpest angle lies, promising substantial value for those willing to defy the common narrative.

    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
    IFK StocksundIFK Stocksund
    Form LLDLL
    League ranking xG #12xGA #31xT #11xP/match #30Points #31
    Key players
    • Sebastian LagerCMxG 0.02 · xT 0.10
    • Endreas TesfaiCMxG 0.03 · xT 0.08
    • Alexander JohanssonCMxG 0.15 · xT 0.57

    Match prediction: AFC Eskilstuna – IFK Stocksund

    Predicted score matrix

    IFK Stocksund →
    AFC Eskilstuna →
    0
    1
    2
    3
    4+
    0
    0–03.5%
    0–13.3%
    0–22.0%
    0–30.7%
    0–4+0.3%
    1
    1–07.2%
    1–18.6%
    1–24.6%
    1–31.7%
    1–4+0.6%
    2
    2–08.7%
    2–19.7%
    2–25.4%
    2–32.0%
    2–4+0.7%
    3
    3–06.7%
    3–17.5%
    3–24.2%
    3–31.5%
    3–4+0.5%
    4+
    4+–06.7%
    4+–17.5%
    4+–24.2%
    4+–31.5%
    4+–4+0.5%
    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. 4.3-17%
    5. 5.1-07%
    Expected goals
    2,32–1,11
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,4
    Under 2,533%
    @4.25EV+42%
    Over 2,567%
    @1.19

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • AFC Eskilstuna to win63%
    • Over 1.5 goals86%

    Combined probability

    57%

    Fair odds

    1.77

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

    02 · 3 legs

    Balanced

    • AFC Eskilstuna to win63%
    • Over 2.5 goals67%
    • Armin Culum to score26%

    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 score61%
    • Over 2.5 goals67%
    • Langston Jasper Wennerlind to score33%
    • Dary Izia Boto 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 · IFK Stocksund19% probability@11.50BetsafeEV+114%reference odds
    • 2 · IFK Stocksund19% probability@11.50NordicbetEV+114%reference odds
    • 2 · IFK Stocksund19% probability@11.00LeoVegasEV+104%reference odds
    Bookmaker1 · AFC EskilstunaX2 · IFK Stocksund
    Betsafe1.13
    EV+ 49%
    8.00
    EV+ 114%
    11.50
    LeoVegas1.12
    EV+ 45%
    7.80
    EV+ 104%
    11.00
    Nordicbet1.13
    EV+ 49%
    8.00
    EV+ 114%
    11.50

    Odds updated 25 Oct, 10:36

    Odds movement

    Market signal

    The market has moved clearly towards a AFC Eskilstuna win since 21 October — the odds have shortened from 1.28 to 1.13 (−12%).

    1-12 %
    81 %71 %

    1.28 → 1.13

    X+44 %
    19 %9 %

    5.55 → 8.00

    2+60 %
    15 %5 %

    7.20 → 11.50

    Nordicbet · 10 recorded price levels · 21/10/2026 → 25/10/2026 · fixed scale 10 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    AFC Eskilstuna
    IFK Stocksund
    When goals are scored and conceded — 2026
    AFC Eskilstuna (52–37)
    IFK Stocksund (46–67)
    Pass networks

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

    IFK Stocksund
    Max Vogele: 252 passningar, xT 0.46VogeleEnzo Stone Gibson Mougnol: 239 passningar, xT 0.14MougnolSebastian Lager: 216 passningar, xT 0.01LagerAxel Floric: 160 passningar, xT 0.48FloricLangston Jasper Wennerlind: 151 passningar, xT 1.72WennerlindDary Izia Boto: 144 passningar, xT 0.17BotoBen Magnusson: 128 passningar, xT -0.05MagnussonClaus Emilio Royo: 121 passningar, xT 0.12RoyoCharlie Jonsson: 106 passningar, xT 0.02JonssonKasper Engström: 105 passningar, xT 0.2EngströmVilly Strindlund Larsen: 66 passningar, xT 0.13Larsen
    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.

    IFK Stocksund
    Max Vogele: 252 passningar, xT 0.46VogeleEnzo Stone Gibson Mougnol: 239 passningar, xT 0.14MougnolSebastian Lager: 216 passningar, xT 0.01LagerAxel Floric: 160 passningar, xT 0.48FloricLangston Jasper Wennerlind: 151 passningar, xT 1.72WennerlindDary Izia Boto: 144 passningar, xT 0.17BotoBen Magnusson: 128 passningar, xT -0.05MagnussonClaus Emilio Royo: 121 passningar, xT 0.12RoyoCharlie Jonsson: 106 passningar, xT 0.02JonssonKasper Engström: 105 passningar, xT 0.2EngströmVilly Strindlund Larsen: 66 passningar, xT 0.13Larsen

    The teams in numbers

    PerformanceAFC EskilstunaIFK Stocksund
    Points5015
    xPoints4029.7
    xG per match1.41.4
    xGA per match1.21.8
    xG within 8s of winning the ball0.30.27
    xGA within 8s of losing the ball0.230.31
    Playing styleAFC EskilstunaIFK Stocksund
    Build-up efficiency0.380.34
    Field tilt0.490.5
    xT per match1.11.5
    xTA per match1.51.4
    Won balls, offensive half2825
    Pressing intensity0.520.55
    Pressing efficiency0.240.25
    Pressing efficiency, offensive half0.260.26
    Entries into the box per match1213
    Entries into the box against1115
    Pass completion %0.80.82
    Pass completion % under pressure0.740.77
    Passes per match377381
    Passes against per match374342
    Switches of play per match16.212.4
    Long balls per match3328
    Set piecesAFC EskilstunaIFK Stocksund
    xG from free kicks0.140.2
    Corners per match4.63.9
    Corners against per match4.24.9
    xG per corner0.020.02
    xGA per corner against0.040.04
    First touch, offensive corners %0.420.51
    First touch, defensive corners %0.570.53
    OtherAFC EskilstunaIFK Stocksund
    Throw-in control0.540.58
    The goalkeepersAFC EskilstunaJakob Rhawi (IFK Stocksund)
    Saves–75
    Save %–61%
    xG prevented–37%
    Claims–103 (86%)

    Teams & more matches this round

    Frequently asked questions

    Who wins AFC Eskilstuna vs IFK Stocksund according to our model?

    The model gives AFC Eskilstuna a 63% win probability. Full 1X2 picture: AFC Eskilstuna 63%, draw 19%, IFK Stocksund 19%.

    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 67% and under at 33%.

    Will both teams score?

    The probability of both teams scoring is 61% according to the model.

    How many goals are expected in AFC Eskilstuna vs IFK Stocksund?

    The model expects 2.32 goals (xG) for AFC Eskilstuna and 1.11 for IFK Stocksund, 3.43 in total.

    What does the model say about double chance?

    AFC Eskilstuna or draw (1X) 81%, IFK Stocksund or draw (X2) 37% and no draw (12) 81%.

    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.