Swedish SuperettanSkarsjövallen, Uddevalla17°7,0 mm17 km/h

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    LjungskileLjungskilePossession control
    01
    IFK VärnamoIFK VärnamoPossession control
    The model's lean: 1 · Ljungskile (46%)

    LjungskileIFK Värnamo · Swedish Superettan

    1 · Ljungskile 46%X 26%28% IFK Värnamo · 2

    Analysis: LjungskileIFK Värnamo

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

    With Ljungskile holding a slight edge, 46% according to the model, against IFK Värnamo's 28%, the hosts are statistically favored to grab the win. Ljungskile's possession-based game plan matches nicely against Värnamo who share a similar style, but it's the expected goals that might tip the scale. Ljungskile's xG of 1.79 per match versus Värnamo's 1.23 suggests they are more adept at creating scoring chances, making the home side look more threatening in attack.

    Despite Ljungskile's statistical advantages, Värnamo arrives with momentum, unbeaten in their last five league outings. Yet, when it comes to creativity in the final third, Ljungskile's average xG per match of 1.6 overshadows Värnamo's 0.97, pointing to a likely edge in scoring efficiency. The sole head-to-head game since 2024 ended in favor of Ljungskile, but with just one encounter, this carries less weight than the upcoming match's context.

    Rain might complicate possession play, usually dampening scoring opportunities. Still, with over 58% likelihood of more than 2.5 goals and a 59% chance of both teams finding the net, expect both sides to carve out opportunities despite the weather. The bookmakers lean toward a home win with odds of 2.16 at Betsafe, Betsson, and Nordicbet, aligning with the model's prediction though offering no edge in terms of value.

    Ljungskile appears poised to capitalize on their attacking prowess, eyeing a narrow victory. A 1-1 scoreline seems the likeliest outcome, balancing the hosts' offensive edge against Värnamo's recent resilience. For punters, the value bet lands on Ljungskile at 2.16 odds, where the potential reward aligns neatly with the home side's edge in form and firepower.

    LjungskileLjungskile
    Form WDLLD
    League ranking xG #2xGA #13xT #6xP/match #9Points #11
    Key players
    • Issaka SeiduLWxG 0.15 · xT 0.20
    • Daniel LjungFxG 0.19 · xT 0.12
    • Filip AmbrozCDMxG 0.04 · xT 0.36
    IFK VärnamoIFK Värnamo
    Form DWWDD
    League ranking xG #16xGA #5xT #14xP/match #14Points #15
    Key players
    • Carl JohanssonRWxG 0.07 · xT 0.14
    • Axel BjörnströmLWxG 0.10 · xT 0.37
    • Kai MeriluotoFxG 0.24 · xT 0.02
    Final score
    01
    The model missed the outcome
    Predicted probabilities: Ljungskile 46% · Draw 26% · IFK Värnamo 28%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Ljungskile SKBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,50fair 6,08-10 %
    Miss
    Matchresultat - IFK VärnamoBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 9,03fair 12,77-29 %
    Miss

    Match prediction: LjungskileIFK Värnamo

    Predicted score matrix

    IFK Värnamo
    Ljungskile
    0
    1
    2
    3
    4+
    0
    0–05.2%
    0–15.7%
    0–23.7%
    0–31.5%
    0–4+0.6%
    1
    1–08.4%
    1–111.1%
    1–26.6%
    1–32.7%
    1–4+1.1%
    2
    2–07.8%
    2–19.6%
    2–25.9%
    2–32.4%
    2–4+1.0%
    3
    3–04.6%
    3–15.7%
    3–23.5%
    3–31.5%
    3–4+0.6%
    4+
    4+–03.1%
    4+–13.8%
    4+–22.4%
    4+–31.0%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-08%
    4. 4.2-08%
    5. 5.1-27%
    Expected goals
    1,791,23
    Both teams to score
    59%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.24
    Over 2,558%
    @1.67

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Ljungskile to win46%
    • Over 1.5 goals81%

    Combined probability

    42%

    Fair odds

    2.40

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

    02 · 3 legs

    Balanced

    • Ljungskile to win46%
    • Over 2.5 goals58%
    • Vilmer Tyrén to score36%

    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 goals58%
    • Vilmer Tyrén to score36%
    • Logi Hrafn Robertsson to be booked23%

    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

    Bookmaker1 · LjungskileX2 · IFK Värnamo
    Betsafe2.053.543.41
    Betsson2.053.543.41
    Nordicbet2.053.543.41
    Pinnacle2.083.583.46

    Odds updated 29 Aug, 12:25

    Odds movement

    1-1 %
    47 %42 %

    2.102.08

    X-2 %
    29 %24 %

    3.643.58

    2+9 %
    31 %26 %

    3.183.46

    Pinnacle · 6 recorded price levels · 25/08/2026 → 29/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Ljungskile 1Draw 0IFK Värnamo 0
    Goals: 32 (⌀ 5)

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

    Key facts

    • IFK Värnamo are unbeaten in their last 5 league matches.
    xG & xGA per match — 3-game rolling average

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

    Ljungskile
    IFK Värnamo
    When goals are scored and conceded 2026
    Ljungskile (2727)
    IFK Värnamo (2438)
    Pass networks

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

    Ljungskile
    Filip Ambroz: 246 passningar, xT 1.6AmbrozIvan Maric: 206 passningar, xT 0.3MaricDaniel Ljung: 176 passningar, xT 0.57LjungDaniel Lagerlöf: 168 passningar, xT 0.94LagerlöfGideon Mensah: 160 passningar, xT 0.16MensahEmilio Reljanovic: 130 passningar, xT 0.45ReljanovicMehmet Uzel: 126 passningar, xT 1.52UzelLukas Eriksson: 97 passningar, xT 0.3ErikssonVilmer Tyrén: 89 passningar, xT 0.27TyrénGustav Johanströmmer Hedin: 73 passningar, xT 0.16HedinAbdishakur Bashir Omar: 56 passningar, xT 0.4Omar
    IFK Värnamo
    Johan Rapp: 225 passningar, xT 0.49RappViktor Claesson: 174 passningar, xT 0.04ClaessonSamuel Ohlsson: 154 passningar, xT 0.65OhlssonHugo Andersson: 134 passningar, xT 0.21AnderssonArash Motaraghebjafarpour: 132 passningar, xT 0.47MotaraghebjafarpourAxel Björnström: 115 passningar, xT 1.78BjörnströmDouglas Bergqvist: 105 passningar, xT 0.1BergqvistHugo Mella: 100 passningar, xT 0.65MellaHugo Keto: 90 passningar, xT 0.6KetoCarl Johansson: 88 passningar, xT 0.32JohanssonMarcus Antonsson: 70 passningar, xT 0.06Antonsson
    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: 246 passningar, xT 1.6AmbrozIvan Maric: 206 passningar, xT 0.3MaricDaniel Ljung: 176 passningar, xT 0.57LjungDaniel Lagerlöf: 168 passningar, xT 0.94LagerlöfGideon Mensah: 160 passningar, xT 0.16MensahEmilio Reljanovic: 130 passningar, xT 0.45ReljanovicMehmet Uzel: 126 passningar, xT 1.52UzelLukas Eriksson: 97 passningar, xT 0.3ErikssonVilmer Tyrén: 89 passningar, xT 0.27TyrénGustav Johanströmmer Hedin: 73 passningar, xT 0.16HedinAbdishakur Bashir Omar: 56 passningar, xT 0.4Omar
    IFK Värnamo
    Johan Rapp: 225 passningar, xT 0.49RappViktor Claesson: 174 passningar, xT 0.04ClaessonSamuel Ohlsson: 154 passningar, xT 0.65OhlssonHugo Andersson: 134 passningar, xT 0.21AnderssonArash Motaraghebjafarpour: 132 passningar, xT 0.47MotaraghebjafarpourAxel Björnström: 115 passningar, xT 1.78BjörnströmDouglas Bergqvist: 105 passningar, xT 0.1BergqvistHugo Mella: 100 passningar, xT 0.65MellaHugo Keto: 90 passningar, xT 0.6KetoCarl Johansson: 88 passningar, xT 0.32JohanssonMarcus Antonsson: 70 passningar, xT 0.06Antonsson

    The teams in numbers

    PerformanceLjungskileIFK Värnamo
    Points2419
    xPoints27.423.2
    xG per match1.60.97
    xGA per match1.41.2
    xG within 8s of winning the ball0.280.22
    xGA within 8s of losing the ball0.270.26
    Playing styleLjungskileIFK Värnamo
    Build-up efficiency0.360.32
    Field tilt0.50.48
    xT per match1.61.3
    xTA per match1.41.6
    Won balls, offensive half3234
    Pressing intensity0.570.56
    Pressing efficiency0.290.29
    Pressing efficiency, offensive half0.290.31
    Entries into the box per match1714
    Entries into the box against1415
    Pass completion %0.760.76
    Pass completion % under pressure0.70.7
    Passes per match340367
    Passes against per match331356
    Switches of play per match18.715.7
    Long balls per match3733
    Set piecesLjungskileIFK Värnamo
    xG from free kicks0.180.12
    Corners per match5.64.2
    Corners against per match5.25
    xG per corner0.030.02
    xGA per corner against0.030.03
    First touch, offensive corners %0.420.44
    First touch, defensive corners %0.640.57
    OtherLjungskileIFK Värnamo
    Throw-in control0.530.45
    The goalkeepersLukas Eriksson (Ljungskile)Hugo Keto (IFK Värnamo)
    Saves6661
    Save %72%66%
    xG prevented58%44%
    Claims121 (95%)105 (93%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Ljungskile vs IFK Värnamo according to our model?

    The model gives Ljungskile a 46% win probability. Full 1X2 picture: Ljungskile 46%, draw 26%, IFK Värnamo 28%.

    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 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 59% 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.