Swedish SuperettanPåskbergsvallen, Varberg11°0,6 mm22 km/h

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    Varbergs BoISVarbergs BoISCounter-attacks & crosses
    vs
    LjungskileLjungskilePossession control
    The model's lean: 1 · Varbergs BoIS (41%)Best value by the model: 2 · Ljungskile @ 3.86 (+34 %)

    Varbergs BoIS vs Ljungskile · Swedish Superettan

    1 · Varbergs BoIS 41%X 24%35% Ljungskile · 2

    Prediction summary

    BetBuilders AI model prediction for Varbergs BoIS vs Ljungskile (Swedish Superettan, Sunday, 1 November 2026): Varbergs BoIS win 41%, draw 24%, Ljungskile win 35%. Expected goals (xG): Varbergs BoIS 1.67, Ljungskile 1.32. Most likely score: 1-1 (11%). Over 2.5 goals 57%, both teams to score 60%. Double chance: Varbergs BoIS or draw 65%, Ljungskile or draw 59%. Prediction updated Saturday, 24 October 2026.

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    Analysis: Varbergs BoIS – Ljungskile

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    Varbergs BoIS comes into this clash with an edge in the standings but not necessarily in momentum or underlying performance. Despite their 46 points compared to Ljungskile's 32, a closer look reveals an intriguing mismatch. Ljungskile's xPoints of 37.7 suggest they've been unlucky or inefficient, while Varbergs has perhaps overperformed with their 36.1 xPoints. This disparity hints that the visitors might be capable of springing an upset, especially since Ljungskile's style of possession control could trouble Varbergs' preference for counter-attacking.

    The expected goals tell another story where Ljungskile edges it slightly with 1.4 xG per match compared to Varbergs' 1.3. This suggests that both teams are evenly matched in terms of creating chances. With both sides averaging 1.4 expected goals against per match, we might see a balanced game, potentially tilting towards those who can capitalize on set pieces or transition moments.

    The head-to-head history is too thin to weigh heavily, with only one match in the recent records where Varbergs emerged victorious. While this might give them a psychological edge, it doesn't overshadow Ljungskile's potential to control the pace of the game through possession.

    The model favors Varbergs slightly with a 41% chance of victory, but Ljungskile isn't too far behind at 35%. The most likely scorelines of 1-1 (11%) and 2-1 (9%) reinforce the expectation of a tight encounter. The over 2.5 goals probability at 57% and a 60% chance for both teams to score indicate a potential for goals, especially if Ljungskile can disrupt Varbergs' defensive rhythm.

    Bookmakers may be undervaluing Ljungskile given their xPoints and style advantage. With odds available at 3.60 for a Ljungskile win, there appears to be value in backing the visitors. This could be the angle for punters willing to bet against the grain in a match that might see the underdogs defying the narrative.

    Varbergs BoISVarbergs BoIS
    Form LWWDD
    League ranking xG #10xGA #11xT #10xP/match #11Points #3
    Key players
    • Albin WinboCAMxG 0.12 · xT 0.39
    • Gustav BromanCBxG 0.05 · xT 0.11
    • Erion SadikuCDMxG 0.02 · xT 0.12
    LjungskileLjungskile
    Form WLLDW
    League ranking xG #5xGA #10xT #5xP/match #8Points #10
    Key players
    • Filip AmbrozCDMxG 0.04 · xT 0.32
    • Abdishakur Bashir OmarLWxG 0.36 · xT 0.21
    • Emilio ReljanovicRBxG 0.01 · xT 0.13

    Match prediction: Varbergs BoIS – Ljungskile

    Predicted score matrix

    Ljungskile →
    Varbergs BoIS →
    0
    1
    2
    3
    4+
    0
    0–05.4%
    0–16.4%
    0–24.4%
    0–31.9%
    0–4+0.8%
    1
    1–08.1%
    1–111.4%
    1–27.3%
    1–33.2%
    1–4+1.4%
    2
    2–07.0%
    2–19.3%
    2–26.1%
    2–32.7%
    2–4+1.2%
    3
    3–03.9%
    3–15.1%
    3–23.4%
    3–31.5%
    3–4+0.7%
    4+
    4+–02.4%
    4+–13.1%
    4+–22.0%
    4+–30.9%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-08%
    4. 4.1-27%
    5. 5.2-07%
    Expected goals
    1,67–1,32
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,0
    Under 2,543%
    @2.08
    Over 2,557%
    @1.70

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Varbergs BoIS or draw (1X)70%
    • Over 1.5 goals80%

    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

    • Double chance Varbergs BoIS or draw (1X)70%
    • Over 2.5 goals57%
    • Severin Nioule to score17%

    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%
    • Samuel Adrian to score18%
    • Filip Ambroz 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 · Ljungskile35% probability@3.86BetsafeEV+34%reference odds
    • 2 · Ljungskile35% probability@3.86NordicbetEV+34%reference odds
    • 2 · Ljungskile35% probability@3.70LeoVegasEV+28%reference odds
    Bookmaker1 · Varbergs BoISX2 · Ljungskile
    Betsafe1.903.59
    EV+ 34%
    3.86
    LeoVegas1.853.50
    EV+ 28%
    3.70
    Nordicbet1.903.59
    EV+ 34%
    3.86

    Odds updated 27 Oct, 13:37

    Odds movement

    10 %
    52 %47 %

    1.85 → 1.85

    X0 %
    29 %24 %

    3.50 → 3.50

    20 %
    27 %22 %

    3.70 → 3.70

    Over 2,5+2 %
    58 %53 %

    1.64 → 1.67

    LeoVegas · 3 recorded price levels · 27/10/2026 → 27/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Varbergs BoIS 1Draw 0Ljungskile 0
    Goals: 3–1 (⌀ 4)

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

    xG & xGA per match — 3-game rolling average

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

    Varbergs BoIS
    Ljungskile
    When goals are scored and conceded — 2026
    Varbergs BoIS (45–34)
    Ljungskile (36–37)
    Pass networks

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

    Varbergs BoIS
    Edvin Tellgren: 271 passningar, xT 0.31TellgrenGustav Broman: 247 passningar, xT 0.66BromanErion Sadiku: 185 passningar, xT 0.59SadikuAlbin Winbo: 182 passningar, xT 1.52WinboNiklas Dahlström: 164 passningar, xT 0.04DahlströmIsak Valentin Vidjeskog: 144 passningar, xT 1.01VidjeskogEmil Hellman: 137 passningar, xT 0.28HellmanNoah Johansson: 119 passningar, xT 0.48JohanssonLaorent Shabani: 113 passningar, xT 0.55ShabaniDaniel Strindholm: 96 passningar, xT 0.17StrindholmWilhelm Ärlig: 66 passningar, xT 0.91Ärlig
    Ljungskile
    Emilio Reljanovic: 198 passningar, xT 0.56ReljanovicGideon Mensah: 168 passningar, xT 0.14MensahDaniel Lagerlöf: 165 passningar, xT 1.5LagerlöfGustav Johanströmmer Hedin: 142 passningar, xT 0.39HedinDaniel Ljung: 141 passningar, xT 1.31LjungIvan Maric: 136 passningar, xT 0.12MaricLukas Eriksson: 70 passningar, xT 0.45ErikssonLukas Lindholm Corner: 64 passningar, xT -0.39CornerMehmet Uzel: 63 passningar, xT 0.25UzelVilmer Tyrén: 59 passningar, xT 0.82TyrénFilip Örnblom: 56 passningar, xT 0.32Örnblom
    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.

    Varbergs BoIS
    Edvin Tellgren: 271 passningar, xT 0.31TellgrenGustav Broman: 247 passningar, xT 0.66BromanErion Sadiku: 185 passningar, xT 0.59SadikuAlbin Winbo: 182 passningar, xT 1.52WinboNiklas Dahlström: 164 passningar, xT 0.04DahlströmIsak Valentin Vidjeskog: 144 passningar, xT 1.01VidjeskogEmil Hellman: 137 passningar, xT 0.28HellmanNoah Johansson: 119 passningar, xT 0.48JohanssonLaorent Shabani: 113 passningar, xT 0.55ShabaniDaniel Strindholm: 96 passningar, xT 0.17StrindholmWilhelm Ärlig: 66 passningar, xT 0.91Ärlig
    Ljungskile
    Emilio Reljanovic: 198 passningar, xT 0.56ReljanovicGideon Mensah: 168 passningar, xT 0.14MensahDaniel Lagerlöf: 165 passningar, xT 1.5LagerlöfGustav Johanströmmer Hedin: 142 passningar, xT 0.39HedinDaniel Ljung: 141 passningar, xT 1.31LjungIvan Maric: 136 passningar, xT 0.12MaricLukas Eriksson: 70 passningar, xT 0.45ErikssonLukas Lindholm Corner: 64 passningar, xT -0.39CornerMehmet Uzel: 63 passningar, xT 0.25UzelVilmer Tyrén: 59 passningar, xT 0.82TyrénFilip Örnblom: 56 passningar, xT 0.32Örnblom

    The teams in numbers

    PerformanceVarbergs BoISLjungskile
    Points4632
    xPoints36.137.7
    xG per match1.31.4
    xGA per match1.41.4
    xG within 8s of winning the ball0.350.23
    xGA within 8s of losing the ball0.210.29
    Playing styleVarbergs BoISLjungskile
    Build-up efficiency0.330.36
    Field tilt0.440.47
    xT per match1.51.5
    xTA per match1.41.6
    Won balls, offensive half3632
    Pressing intensity0.580.56
    Pressing efficiency0.270.28
    Pressing efficiency, offensive half0.270.29
    Entries into the box per match1416
    Entries into the box against1415
    Pass completion %0.740.75
    Pass completion % under pressure0.70.69
    Passes per match312333
    Passes against per match373355
    Switches of play per match19.719.3
    Long balls per match3536
    Set piecesVarbergs BoISLjungskile
    xG from free kicks0.120.16
    Corners per match5.15.5
    Corners against per match55
    xG per corner0.030.03
    xGA per corner against0.030.02
    First touch, offensive corners %0.350.4
    First touch, defensive corners %0.660.62
    OtherVarbergs BoISLjungskile
    Throw-in control0.460.54
    The goalkeepersOscar Ekman (Varbergs BoIS)Lukas Eriksson (Ljungskile)
    Saves4194
    Save %65%72%
    xG prevented40%55%
    Claims84 (94%)170 (96%)

    Teams & more matches this round

    Hela spelschemat med svårighetsgrad per match: Varbergs BoIS spelschemaLjungskile spelschema

    Frequently asked questions

    Who wins Varbergs BoIS vs Ljungskile according to our model?

    The model gives Varbergs BoIS a 41% win probability. Full 1X2 picture: Varbergs BoIS 41%, draw 24%, Ljungskile 35%.

    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 57% and under at 43%.

    Will both teams score?

    The probability of both teams scoring is 60% according to the model.

    How many goals are expected in Varbergs BoIS vs Ljungskile?

    The model expects 1.67 goals (xG) for Varbergs BoIS and 1.32 for Ljungskile, 2.98 in total.

    What does the model say about double chance?

    Varbergs BoIS or draw (1X) 65%, Ljungskile or draw (X2) 59% and no draw (12) 76%.

    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.