Swedish SuperettanJämtkraft Arena, Östersund12°17 km/h

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    ÖstersundÖstersundPossession & high press
    vs
    LjungskileLjungskilePossession control
    The model's lean: 1 · Östersund (52%)

    ÖstersundLjungskile · Swedish Superettan

    1 · Östersund 52%X 25%23% Ljungskile · 2

    Analysis: ÖstersundLjungskile

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

    Östersunds FK have been riding a wave of resilience, remaining unbeaten in their last five league outings. This uptick in form makes them the bookmakers' favourites at 52% to take the win against Ljungskile SK, who have been struggling to find their feet this season. With the odds reflecting this, the most probable scorelines like a 1-1 draw or a 2-1 victory for Östersunds FK illustrate a close contest but with a tilt towards the home side.

    Despite a small head-to-head sample size of just one 1-1 draw since 2024, it's the current form and expected goals that paint a clearer picture for this clash. Östersunds FK's expected goals (1.73) significantly outshine Ljungskile SK's 1.19, reinforcing the belief that they might edge this encounter. Their high-pressing style could unsettle Ljungskile's possession-based approach, especially in the likely absence of adverse weather.

    Ljungskile SK, despite their lower points tally of 23 compared to Östersunds' 32, hold a slight advantage in expected points and goals per match. Their ability to generate an xG of 1.6 per match suggests they can pose a threat, although they’ll need to convert those chances more efficiently to turn the tide.

    Östersunds FK should capitalise on their momentum, but with both teams scoring in 58% of simulations and an over 2.5 goals likelihood of 56%, expect an open game. The defensive edge of Östersunds FK, with a lower xGA of 1.2, could prove vital in stifling Ljungskile's advances.

    The sharp angle here is leaning towards a narrow victory for Östersunds FK. A 2-1 scoreline seems plausible, fitting both the expected goals narrative and the over 2.5 goals propensity. With Östersunds FK favoured, punters might find value in backing them at competitive odds.

    ÖstersundÖstersund
    Form WDWWD
    League ranking xG #12xGA #3xT #4xP/match #12Points #4
    Key players
    • Simon MarklundRWxG 0.21 · xT 0.22
    • Daniel MiljanovicRWxG 0.02 · xT 0.22
    • Assiedou Yannick Armel AdjoumaniLWxG 0.11 · xT 0.21
    LjungskileLjungskile
    Form WWDLL
    League ranking xG #2xGA #10xT #3xP/match #7Points #11
    Key players
    • Issaka SeiduLWxG 0.15 · xT 0.20
    • Isaac ShearsFxG 0.42 · xT 0.03
    • Lukas Lindholm CornerFxG 0.23 · xT 0.01

    Match prediction: ÖstersundLjungskile

    Predicted score matrix

    Ljungskile
    Östersund
    0
    1
    2
    3
    4+
    0
    0–05.7%
    0–16.1%
    0–23.8%
    0–31.5%
    0–4+0.6%
    1
    1–09.0%
    1–111.4%
    1–26.6%
    1–32.6%
    1–4+1.0%
    2
    2–08.1%
    2–19.6%
    2–25.7%
    2–32.3%
    2–4+0.9%
    3
    3–04.7%
    3–15.5%
    3–23.3%
    3–31.3%
    3–4+0.5%
    4+
    4+–03.0%
    4+–13.5%
    4+–22.1%
    4+–30.8%
    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. 4.2-08%
    5. 5.1-27%
    Expected goals
    1,731,19
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @2.02
    Over 2,556%
    @1.72

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Östersund to win52%
    • Over 1.5 goals79%

    Combined probability

    41%

    Fair odds

    2.46

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

    02 · 3 legs

    Balanced

    • Östersund to win52%
    • Over 2.5 goals56%
    • Jabir Abdihakim Ali 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 score58%
    • Over 2.5 goals56%
    • Jabir Abdihakim Ali to score25%
    • Filip Ambroz 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+).

    • 1 · Östersund52% probability@2.04BetsafeEV+6%reference odds
    • 1 · Östersund52% probability@2.04BetssonEV+6%reference odds
    • 1 · Östersund52% probability@2.04NordicbetEV+6%reference odds
    Bookmaker1 · ÖstersundX2 · Ljungskile
    Betsafe
    EV+ 6%
    2.04
    3.493.50
    Betsson
    EV+ 6%
    2.04
    3.493.50
    Nordicbet
    EV+ 6%
    2.04
    3.493.50

    Odds updated 18 Aug, 14:36

    Odds movement

    1-5 %
    48 %43 %

    2.142.04

    X-1 %
    29 %24 %

    3.533.49

    2+9 %
    31 %26 %

    3.203.50

    Betsson · 3 recorded price levels · 17/08/2026 → 18/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Östersund 0Draw 1Ljungskile 0
    Goals: 11 (⌀ 2)

    Head-to-head based on Superettan data since 2024.

    Key facts

    • Östersund are unbeaten in their last 6 league matches.
    xG & xGA per match — 3-game rolling average

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

    Östersund
    Ljungskile
    When goals are scored and conceded 2026
    Östersund (2922)
    Ljungskile (2727)
    Pass networks

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

    Östersund
    Dennis Widgren: 424 passningar, xT 2WidgrenHugo Azzi: 336 passningar, xT 1.86AzziDaniel Miljanovic: 257 passningar, xT 0.98MiljanovicCurtis Edwards: 246 passningar, xT 1.23EdwardsEmil Özkan: 235 passningar, xT 0.15ÖzkanAmar Begic: 233 passningar, xT 0.03BegicSunday Anyanwu: 230 passningar, xT 0.37AnyanwuSimon Marklund: 195 passningar, xT 1.85MarklundAbdulla Abodi Qasem: 165 passningar, xT 0QasemAssiedou Yannick Armel Adjoumani: 158 passningar, xT 0.9AdjoumaniMolls Donald Ntchamda Ntchamda: 70 passningar, xT 0Ntchamda
    Ljungskile
    Filip Ambroz: 235 passningar, xT 1.53AmbrozIvan Maric: 201 passningar, xT 0.33MaricDaniel Ljung: 171 passningar, xT 0.62LjungEmilio Reljanovic: 153 passningar, xT 0.58ReljanovicDaniel Lagerlöf: 137 passningar, xT 0.9LagerlöfMehmet Uzel: 131 passningar, xT 1.49UzelGideon Mensah: 131 passningar, xT 0.17MensahLukas Eriksson: 80 passningar, xT 0.25ErikssonAbdishakur Bashir Omar: 69 passningar, xT 0.27OmarVilmer Tyrén: 65 passningar, xT 0.27TyrénWilliam Nilsson: 61 passningar, xT 0.48Nilsson
    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.

    Östersund
    Dennis Widgren: 424 passningar, xT 2WidgrenHugo Azzi: 336 passningar, xT 1.86AzziDaniel Miljanovic: 257 passningar, xT 0.98MiljanovicCurtis Edwards: 246 passningar, xT 1.23EdwardsEmil Özkan: 235 passningar, xT 0.15ÖzkanAmar Begic: 233 passningar, xT 0.03BegicSunday Anyanwu: 230 passningar, xT 0.37AnyanwuSimon Marklund: 195 passningar, xT 1.85MarklundAbdulla Abodi Qasem: 165 passningar, xT 0QasemAssiedou Yannick Armel Adjoumani: 158 passningar, xT 0.9AdjoumaniMolls Donald Ntchamda Ntchamda: 70 passningar, xT 0Ntchamda
    Ljungskile
    Filip Ambroz: 235 passningar, xT 1.53AmbrozIvan Maric: 201 passningar, xT 0.33MaricDaniel Ljung: 171 passningar, xT 0.62LjungEmilio Reljanovic: 153 passningar, xT 0.58ReljanovicDaniel Lagerlöf: 137 passningar, xT 0.9LagerlöfMehmet Uzel: 131 passningar, xT 1.49UzelGideon Mensah: 131 passningar, xT 0.17MensahLukas Eriksson: 80 passningar, xT 0.25ErikssonAbdishakur Bashir Omar: 69 passningar, xT 0.27OmarVilmer Tyrén: 65 passningar, xT 0.27TyrénWilliam Nilsson: 61 passningar, xT 0.48Nilsson

    The teams in numbers

    PerformanceÖstersundLjungskile
    Points3323
    xPoints25.127
    xG per match1.31.6
    xGA per match1.11.4
    xG within 8s of winning the ball0.260.29
    xGA within 8s of losing the ball0.250.26
    Playing styleÖstersundLjungskile
    Build-up efficiency0.360.36
    Field tilt0.650.52
    xT per match1.61.6
    xTA per match1.11.4
    Won balls, offensive half3632
    Pressing intensity0.560.58
    Pressing efficiency0.30.29
    Pressing efficiency, offensive half0.30.29
    Entries into the box per match1718
    Entries into the box against1014
    Pass completion %0.80.76
    Pass completion % under pressure0.760.71
    Passes per match437341
    Passes against per match339324
    Switches of play per match17.318.7
    Long balls per match4137
    Set piecesÖstersundLjungskile
    xG from free kicks0.10.18
    Corners per match5.75.6
    Corners against per match3.65
    xG per corner0.020.03
    xGA per corner against0.030.03
    First touch, offensive corners %0.350.44
    First touch, defensive corners %0.610.64
    OtherÖstersundLjungskile
    Throw-in control0.580.53
    The goalkeepersMelker Uppenberg (Östersund)Lukas Eriksson (Ljungskile)
    Saves3063
    Save %64%71%
    xG prevented31%55%
    Claims77 (90%)111 (94%)

    Frequently asked questions

    Who wins Östersund vs Ljungskile according to our model?

    The model gives Östersund a 52% win probability. Full 1X2 picture: Östersund 52%, draw 25%, Ljungskile 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 56% and under at 44%.

    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.