Swedish SuperettanBehrn Arena, Örebro9°21 km/h

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    Örebro SKÖrebro SKPossession control
    vs
    LjungskileLjungskilePossession control
    The model's lean: 1 · Örebro SK (38%)Soft drawBest value by the model: 2 · Ljungskile @ 3.21 (+22 %)

    Örebro SK vs Ljungskile · Swedish Superettan

    1 · Örebro SK 38%X 24%38% Ljungskile · 2

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    Analysis: Örebro SK – Ljungskile

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

    TEXT: A dead heat on model probabilities, with both sides at 38%, sets the stage for a tense encounter in Superettan between Örebro and Ljungskile. Despite equal betting odds, the underlying stats paint a slightly different picture. Ljungskile holds an edge in expected goals per match, averaging 1.5 compared to the hosts' 1.0, suggesting that the visitors may find sharper attacking opportunities.

    The expected goals tally, Örebro at 1.39 and Ljungskile at 1.49, reflects closely contested match expectations. While both teams focus on controlling possession, Ljungskile's marginally higher attacking xG underscores their potential threat. Örebro’s slight advantage in expected goals against (xGA), 1.3 to Ljungskile's 1.4, hints at a marginally more robust defense, but will that be enough to keep Ljungskile's attack at bay?

    The numbers align with a lean towards the over 2.5 goals market, which stands at 55%, and both sides finding the net at 58%. Given the small head-to-head sample, historical results weigh less here. The sharp edge lies in betting Ljungskile at odds of 3.05 with LeoVegas, presenting a 16% value according to the model. The most likely scoreline is a tight 1-1 draw, though a narrow Ljungskile win such as 1-2 remains a live possibility given their slight xG edge.

    Örebro SKÖrebro SK
    Form DLWDL
    League ranking xG #15xGA #8xT #15xP/match #15Points #14
    Key players
    • Antonio YakoubFxG 0.24 · xT 0.05
    • Christopher RedenstrandLWxG 0.05 · xT 0.43
    • Karl HolmbergFxG 0.33 · xT 0.00
    LjungskileLjungskile
    Form LDWLL
    League ranking xG #4xGA #11xT #4xP/match #8Points #12
    Key players
    • Issaka SeiduLWxG 0.13 · xT 0.20
    • Lukas Lindholm CornerFxG 0.23 · xT 0.01
    • Filip AmbrozCDMxG 0.04 · xT 0.32

    Match prediction: Örebro SK – Ljungskile

    Predicted score matrix

    Ljungskile →
    Örebro SK →
    0
    1
    2
    3
    4+
    0
    0–06.0%
    0–18.0%
    0–26.2%
    0–33.1%
    0–4+1.6%
    1
    1–07.5%
    1–112.0%
    1–28.7%
    1–34.3%
    1–4+2.2%
    2
    2–05.4%
    2–18.1%
    2–26.0%
    2–33.0%
    2–4+1.5%
    3
    3–02.5%
    3–13.7%
    3–22.8%
    3–31.4%
    3–4+0.7%
    4+
    4+–01.2%
    4+–11.8%
    4+–21.3%
    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. 2.1-29%
    3. 3.2-18%
    4. 4.0-18%
    5. 5.1-07%
    Expected goals
    1,39–1,49
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @2.20
    Over 2,555%
    @1.62

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Örebro SK or draw (1X)61%
    • Over 1.5 goals79%

    Combined probability

    47%

    Fair odds

    2.12

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

    02 · 3 legs

    Balanced

    • Double chance Örebro SK or draw (1X)61%
    • Over 2.5 goals55%
    • Antonio Yakoub to score24%

    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 goals55%
    • Antonio Yakoub to score24%
    • Jacob Ouro Ortmark 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 2 · Ljungskile38% probability@3.21BetsafeEV+22%reference odds
    • 2 · Ljungskile38% probability@3.21NordicbetEV+22%reference odds
    • 2 · Ljungskile38% probability@3.10LeoVegasEV+18%reference odds
    Bookmaker1 · Örebro SKX2 · Ljungskile
    Betsafe2.133.54
    EV+ 22%
    3.21
    LeoVegas2.103.45
    EV+ 18%
    3.10
    Nordicbet2.133.54
    EV+ 22%
    3.21

    Odds updated 4 Oct, 13:36

    Odds movement

    10 %
    46 %41 %

    2.10 → 2.10

    X0 %
    29 %24 %

    3.45 → 3.45

    2+2 %
    32 %27 %

    3.05 → 3.10

    Over 2,5-1 %
    60 %55 %

    1.60 → 1.58

    LeoVegas · 2 recorded price levels · 03/10/2026 → 04/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Örebro SK 0Draw 0Ljungskile 1
    Goals: 2–3 (⌀ 5)

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

    xG & xGA per match — 3-game rolling average

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

    Örebro SK
    Ljungskile
    When goals are scored and conceded — 2026
    Örebro SK (27–39)
    Ljungskile (33–36)
    Pass networks

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

    Örebro SK
    Jetmir Haliti: 375 passningar, xT 0.7HalitiJohn Stenberg: 314 passningar, xT 0.55StenbergManasse Kusu: 247 passningar, xT 0.01KusuAhmed Yasin: 210 passningar, xT 0.56YasinChovanie Shakur Amatkarijo: 204 passningar, xT 0.69AmatkarijoErdal Rakip: 176 passningar, xT 1.06RakipMax Watson: 172 passningar, xT 0.22WatsonJacob Ouro Ortmark: 146 passningar, xT 0.27OrtmarkKarl Holmberg: 128 passningar, xT 0.07HolmbergSamuel Wikman: 127 passningar, xT 0.37WikmanVictor Sandberg: 78 passningar, xT 0.15Sandberg
    Ljungskile
    Gideon Mensah: 205 passningar, xT 0.17MensahDaniel Ljung: 180 passningar, xT 1.47LjungEmilio Reljanovic: 178 passningar, xT 0.8ReljanovicGustav Johanströmmer Hedin: 171 passningar, xT 0.4HedinIvan Maric: 170 passningar, xT 0.27MaricFilip Ambroz: 145 passningar, xT 0.51AmbrozDaniel Lagerlöf: 99 passningar, xT 0.7LagerlöfVilmer Tyrén: 82 passningar, xT 1.09TyrénLukas Eriksson: 72 passningar, xT 0.44ErikssonLukas Lindholm Corner: 59 passningar, xT -0.15CornerWilliam Nilsson: 48 passningar, xT 0.11Nilsson
    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.

    Örebro SK
    Jetmir Haliti: 375 passningar, xT 0.7HalitiJohn Stenberg: 314 passningar, xT 0.55StenbergManasse Kusu: 247 passningar, xT 0.01KusuAhmed Yasin: 210 passningar, xT 0.56YasinChovanie Shakur Amatkarijo: 204 passningar, xT 0.69AmatkarijoErdal Rakip: 176 passningar, xT 1.06RakipMax Watson: 172 passningar, xT 0.22WatsonJacob Ouro Ortmark: 146 passningar, xT 0.27OrtmarkKarl Holmberg: 128 passningar, xT 0.07HolmbergSamuel Wikman: 127 passningar, xT 0.37WikmanVictor Sandberg: 78 passningar, xT 0.15Sandberg
    Ljungskile
    Gideon Mensah: 205 passningar, xT 0.17MensahDaniel Ljung: 180 passningar, xT 1.47LjungEmilio Reljanovic: 178 passningar, xT 0.8ReljanovicGustav Johanströmmer Hedin: 171 passningar, xT 0.4HedinIvan Maric: 170 passningar, xT 0.27MaricFilip Ambroz: 145 passningar, xT 0.51AmbrozDaniel Lagerlöf: 99 passningar, xT 0.7LagerlöfVilmer Tyrén: 82 passningar, xT 1.09TyrénLukas Eriksson: 72 passningar, xT 0.44ErikssonLukas Lindholm Corner: 59 passningar, xT -0.15CornerWilliam Nilsson: 48 passningar, xT 0.11Nilsson

    The teams in numbers

    PerformanceÖrebro SKLjungskile
    Points2428
    xPoints29.434.7
    xG per match11.5
    xGA per match1.31.4
    xG within 8s of winning the ball0.160.24
    xGA within 8s of losing the ball0.220.3
    Playing styleÖrebro SKLjungskile
    Build-up efficiency0.370.36
    Field tilt0.520.47
    xT per match1.31.6
    xTA per match1.41.6
    Won balls, offensive half2932
    Pressing intensity0.560.56
    Pressing efficiency0.260.29
    Pressing efficiency, offensive half0.290.29
    Entries into the box per match1216
    Entries into the box against1515
    Pass completion %0.810.75
    Pass completion % under pressure0.760.69
    Passes per match421337
    Passes against per match379349
    Switches of play per match16.119.6
    Long balls per match2937
    Set piecesÖrebro SKLjungskile
    xG from free kicks0.140.17
    Corners per match55.7
    Corners against per match4.95.1
    xG per corner0.020.03
    xGA per corner against0.040.02
    First touch, offensive corners %0.460.39
    First touch, defensive corners %0.620.62
    OtherÖrebro SKLjungskile
    Throw-in control0.520.54
    The goalkeepersJakub Ojrzynski (Örebro SK)Lukas Eriksson (Ljungskile)
    Saves9686
    Save %71%71%
    xG prevented56%54%
    Claims144 (91%)154 (95%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Örebro SK vs Ljungskile according to our model?

    The model gives Örebro SK a 38% win probability. Full 1X2 picture: Örebro SK 38%, draw 24%, Ljungskile 38%.

    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 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.