Swedish SuperettanSkarsjövallen, Uddevalla16°4,3 mm13 km/h

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    LjungskileLjungskilePossession control
    vs
    FalkenbergFalkenbergPossession control
    The model's lean: 2 · Falkenberg (39%)Soft draw

    LjungskileFalkenberg · Swedish Superettan

    1 · Ljungskile 35%X 26%39% Falkenberg · 2

    Analysis: LjungskileFalkenberg

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

    TEXT: Fifteen straight games with a goal. That's the streak Falkenberg rides into their clash against Ljungskile, a testament to their attacking consistency. While the visitors have a slight edge in the model's win probability at 39%, the numbers suggest a razor-thin contest. Ljungskile's 1.5 expected goals per match shade Falkenberg's 1.3, yet both sides adopt a possession-driven approach, which might see tactical control rather than goalscoring flair dominate proceedings.

    Despite a scant head-to-head sample — just a lone draw since 2024 — the weighted importance lies in current form and expected goals. Ljungskile's xG and xPoints suggest a team with underutilized potential, but Falkenberg's positional consistency in scoring can't be ignored. Both teams are expected to find the net with a 60% probability, pointing towards a potentially high-scoring affair, albeit one dampened slightly by the forecast of nearly 10 mm of rain. This weather factor is accounted for in the model, which still leans towards the overs at 57%.

    For bettors, the away win offers value at odds of 2.65 across multiple bookmakers, including Betsafe, Betsson, and Nordicbet. With a 5% edge identified, Falkenberg's continued scoring run coupled with Ljungskile's shaky form makes the visitors an attractive proposition.

    LjungskileLjungskile
    Form LLDLD
    League ranking xG #3xGA #13xT #6xP/match #7Points #11
    Key players
    • Vilmer TyrénFxG 0.31 · xT 0.15
    • Issaka SeiduLWxG 0.15 · xT 0.20
    • Lukas Lindholm CornerFxG 0.21 · xT 0.01
    FalkenbergFalkenberg
    Form DWLWL
    League ranking xG #10xGA #7xT #13xP/match #8Points #3
    Key players
    • Hampus KällströmFxG 0.47 · xT 0.17
    • Linus BorgströmRWBxG 0.08 · xT 0.19
    • Albin AnderssonFxG 0.44 · xT 0.07

    Match prediction: LjungskileFalkenberg

    Predicted score matrix

    Falkenberg
    Ljungskile
    0
    1
    2
    3
    4+
    0
    0–05.5%
    0–17.3%
    0–25.6%
    0–32.8%
    0–4+1.4%
    1
    1–07.3%
    1–111.7%
    1–28.4%
    1–34.1%
    1–4+2.1%
    2
    2–05.7%
    2–18.4%
    2–26.2%
    2–33.1%
    2–4+1.6%
    3
    3–02.8%
    3–14.2%
    3–23.1%
    3–31.5%
    3–4+0.8%
    4+
    4+–01.5%
    4+–12.2%
    4+–21.6%
    4+–30.8%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-18%
    3. 3.1-28%
    4. 4.1-07%
    5. 5.0-17%
    Expected goals
    1,491,48
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.13
    Over 2,557%
    @1.69

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Falkenberg or draw (X2)62%
    • Over 1.5 goals80%

    Combined probability

    50%

    Fair odds

    2.01

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

    02 · 3 legs

    Balanced

    • Double chance Falkenberg or draw (X2)62%
    • Over 2.5 goals57%
    • Albin Andersson 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 score60%
    • Over 2.5 goals57%
    • Albin Andersson to score26%
    • Melker Nilsson 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 · Falkenberg39% probability@2.75BetsafeEV+8%reference odds
    • 2 · Falkenberg39% probability@2.75BetssonEV+8%reference odds
    • 2 · Falkenberg39% probability@2.75NordicbetEV+8%reference odds
    Bookmaker1 · LjungskileX2 · Falkenberg
    Betsafe2.443.44
    EV+ 8%
    2.75
    Betsson2.443.44
    EV+ 8%
    2.75
    Nordicbet2.443.44
    EV+ 8%
    2.75
    Pinnacle2.443.49
    EV+ 8%
    2.73

    Odds updated 11 Sept, 12:38

    Statistics

    Head-to-head

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

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

    Key facts

    • Falkenbergs FF have scored in 15 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Ljungskile
    Falkenberg
    When goals are scored and conceded 2026
    Ljungskile (2930)
    Falkenberg (4232)
    Pass networks

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

    Ljungskile
    Filip Ambroz: 243 passningar, xT 1.15AmbrozIvan Maric: 226 passningar, xT 0.36MaricGideon Mensah: 178 passningar, xT 0.2MensahDaniel Lagerlöf: 164 passningar, xT 0.62LagerlöfDaniel Ljung: 153 passningar, xT 0.61LjungGustav Johanströmmer Hedin: 130 passningar, xT 0.22HedinMehmet Uzel: 124 passningar, xT 0.4UzelEmilio Reljanovic: 119 passningar, xT 0.77ReljanovicVilmer Tyrén: 93 passningar, xT 0.43TyrénLukas Eriksson: 87 passningar, xT 0.28ErikssonElton Hedström: 45 passningar, xT 0.26Hedström
    Falkenberg
    Alexander Salo: 379 passningar, xT 0.15SaloTim Stålheden: 323 passningar, xT 0.77StålhedenMelker Nilsson: 281 passningar, xT 0.3NilssonLinus Borgström: 250 passningar, xT 0.69BorgströmAyo Rupia-Ellis: 161 passningar, xT 0.35Rupia-EllisLassina Sangare: 129 passningar, xT -0.08SangareNils Bertilsson: 124 passningar, xT 0.61BertilssonWanbe Godwin Aguda: 111 passningar, xT 0.04AgudaElias Mohammad: 97 passningar, xT 1.17MohammadOskar Lindberg: 95 passningar, xT 0.57LindbergNoel Hansson: 89 passningar, xT 0.16Hansson
    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.

    Ljungskile
    Filip Ambroz: 243 passningar, xT 1.15AmbrozIvan Maric: 226 passningar, xT 0.36MaricGideon Mensah: 178 passningar, xT 0.2MensahDaniel Lagerlöf: 164 passningar, xT 0.62LagerlöfDaniel Ljung: 153 passningar, xT 0.61LjungGustav Johanströmmer Hedin: 130 passningar, xT 0.22HedinMehmet Uzel: 124 passningar, xT 0.4UzelEmilio Reljanovic: 119 passningar, xT 0.77ReljanovicVilmer Tyrén: 93 passningar, xT 0.43TyrénLukas Eriksson: 87 passningar, xT 0.28ErikssonElton Hedström: 45 passningar, xT 0.26Hedström
    Falkenberg
    Alexander Salo: 379 passningar, xT 0.15SaloTim Stålheden: 323 passningar, xT 0.77StålhedenMelker Nilsson: 281 passningar, xT 0.3NilssonLinus Borgström: 250 passningar, xT 0.69BorgströmAyo Rupia-Ellis: 161 passningar, xT 0.35Rupia-EllisLassina Sangare: 129 passningar, xT -0.08SangareNils Bertilsson: 124 passningar, xT 0.61BertilssonWanbe Godwin Aguda: 111 passningar, xT 0.04AgudaElias Mohammad: 97 passningar, xT 1.17MohammadOskar Lindberg: 95 passningar, xT 0.57LindbergNoel Hansson: 89 passningar, xT 0.16Hansson

    The teams in numbers

    PerformanceLjungskileFalkenberg
    Points2538
    xPoints30.329.8
    xG per match1.51.3
    xGA per match1.41.3
    xG within 8s of winning the ball0.270.2
    xGA within 8s of losing the ball0.30.28
    Playing styleLjungskileFalkenberg
    Build-up efficiency0.360.32
    Field tilt0.470.42
    xT per match1.61.3
    xTA per match1.51.4
    Won balls, offensive half3226
    Pressing intensity0.550.55
    Pressing efficiency0.280.27
    Pressing efficiency, offensive half0.280.29
    Entries into the box per match1712
    Entries into the box against1514
    Pass completion %0.760.8
    Pass completion % under pressure0.70.72
    Passes per match337406
    Passes against per match349385
    Switches of play per match18.918.5
    Long balls per match3634
    Set piecesLjungskileFalkenberg
    xG from free kicks0.170.14
    Corners per match5.64.2
    Corners against per match5.44.7
    xG per corner0.030.03
    xGA per corner against0.030.03
    First touch, offensive corners %0.40.43
    First touch, defensive corners %0.630.47
    OtherLjungskileFalkenberg
    Throw-in control0.540.56
    The goalkeepersLukas Eriksson (Ljungskile)Anton Andersson (Falkenberg)
    Saves7933
    Save %73%62%
    xG prevented58%42%
    Claims131 (95%)98 (97%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Ljungskile vs Falkenberg according to our model?

    The model gives Falkenberg a 39% win probability. Full 1X2 picture: Ljungskile 35%, draw 26%, Falkenberg 39%.

    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 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 60% 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.