Swedish SuperettanNP3 Arena, Sundsvall12°20 km/h

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    GIF SundsvallGIF SundsvallLow block & direct
    32
    LjungskileLjungskilePossession control
    The model's lean: 2 · Ljungskile (50%)Best value by the model: 1 · GIF Sundsvall @ 4.54 (+17 %)

    GIF Sundsvall vs Ljungskile · Swedish Superettan

    1 · GIF Sundsvall 26%X 24%50% Ljungskile · 2

    Analysis: GIF SundsvallLjungskile

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    TEXT:

    Ljungskile's control in possession against Sundsvall's direct, low-defensive approach sets the stage for this Superettan meeting. The visitors are favored to win, with a dominant 50% model probability, reflecting their superior position both in the standings and in expected metrics. Ljungskile's tendency to control the game contrasts sharply with Sundsvall's struggle to defend, evident in the hosts' concerning xGA of 1.5 per match. This imbalance points towards a match where the visitors may find more opportunities to exploit Sundsvall's defensive vulnerabilities.

    The numbers underpin the likelihood of a Ljungskile victory. Though the head-to-head record is too small to carry weight, it leans towards the visitors, who won the sole encounter since 2024. With 28 points to Sundsvall's 16 and a slight edge in xPoints, Ljungskile's form is not just a flash in the pan but a continuation of their season's trajectory. The xG figures further reinforce this narrative: Ljungskile's 1.5 xG per match dwarfs Sundsvall's 0.92, suggesting the visitors are better equipped to find the net.

    The forecast of over 2.5 goals at 57% adds another layer to this analysis. While Sundsvall's attacking output might be limited, the high probability of both teams scoring at 59% indicates they might still contribute. Ljungskile's expected goals of 1.70 suggest they will likely breach Sundsvall's defense at least once, if not more. The model's most likely scorelines are 1-1 (11%), followed by 1-2 and 0-1 (9% each), with 1-1 standing out as the sharpest single prediction.

    Given Ljungskile's superior stats and the model's lean, this points to a dry, statistical case for backing the visitors.

    GIF SundsvallGIF Sundsvall
    Form LWWLL
    League ranking xG #16xGA #15xT #16xP/match #12Points #16
    Key players
    • Taiki KagayamaFxG 0.10 · xT 0.10
    • Suwaibou KebbehFxG 0.32 · xT 0.03
    • Miguel SandbergLWxG 0.07 · xT 0.24
    LjungskileLjungskile
    Form DLDWL
    League ranking xG #4xGA #10xT #3xP/match #8Points #11
    Key players
    • Issaka SeiduLWxG 0.15 · xT 0.20
    • Filip AmbrozCDMxG 0.04 · xT 0.33
    • Lukas Lindholm CornerFxG 0.20 · xT 0.02
    Final score
    32
    The model missed the outcome
    Predicted probabilities: GIF Sundsvall 26% · Draw 24% · Ljungskile 50%

    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 - GIF SundsvallBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 12,34fair 12,29+0 %
    Hit
    Matchresultat - Ljungskile SKBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,05fair 6,68-24 %
    Miss

    Match prediction: GIF SundsvallLjungskile

    Predicted score matrix

    Ljungskile
    GIF Sundsvall
    0
    1
    2
    3
    4+
    0
    0–05.6%
    0–18.6%
    0–27.6%
    0–34.3%
    0–4+2.7%
    1
    1–06.2%
    1–111.5%
    1–29.4%
    1–35.3%
    1–4+3.3%
    2
    2–04.1%
    2–17.0%
    2–25.9%
    2–33.3%
    2–4+2.1%
    3
    3–01.7%
    3–12.9%
    3–22.5%
    3–31.4%
    3–4+0.9%
    4+
    4+–00.7%
    4+–11.2%
    4+–21.0%
    4+–30.6%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.0-19%
    4. 4.0-28%
    5. 5.2-17%
    Expected goals
    1,251,70
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,543%
    @2.16
    Over 2,557%
    @1.71

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Ljungskile to win50%
    • Over 1.5 goals80%

    Combined probability

    39%

    Fair odds

    2.57

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

    02 · 3 legs

    Balanced

    • Ljungskile to win50%
    • Over 2.5 goals57%
    • Lukas Lindholm Corner 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 score59%
    • Over 2.5 goals57%
    • Lukas Lindholm Corner to score26%
    • Alper Demirol to be booked20%

    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 · GIF Sundsvall26% probability@4.54PinnacleEV+17%reference odds
    • 1 · GIF Sundsvall26% probability@4.19BetsafeEV+8%reference odds
    • 1 · GIF Sundsvall26% probability@4.19BetssonEV+8%reference odds
    Bookmaker1 · GIF SundsvallX2 · Ljungskile
    Betfair Exchange1.131.131.13
    Betsafe
    EV+ 8%
    4.19
    3.821.78
    Betsson
    EV+ 8%
    4.19
    3.821.78
    Nordicbet
    EV+ 8%
    4.19
    3.821.78
    Pinnacle
    EV+ 17%
    4.54
    3.971.72

    Odds updated 20 Sept, 12:25

    Odds movement

    Market signal

    The market has moved clearly towards an Ljungskile win since 16 September — the odds have shortened from 1.88 to 1.72 (−8%).

    1+23 %
    28 %18 %

    3.704.54

    X+6 %
    29 %19 %

    3.763.97

    2-8 %
    57 %47 %

    1.881.72

    Over 2,5+1 %
    62 %52 %

    1.691.71

    Pinnacle · 12 recorded price levels · 16/09/2026 → 20/09/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    1 matches
    GIF Sundsvall 0Draw 0Ljungskile 1
    Goals: 01 (⌀ 1)

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

    xG & xGA per match — 3-game rolling average

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

    GIF Sundsvall
    Ljungskile
    When goals are scored and conceded 2026
    GIF Sundsvall (1651)
    Ljungskile (3133)
    Pass networks

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

    GIF Sundsvall
    Lucas Forsberg: 218 passningar, xT 0.43ForsbergAlper Demirol: 213 passningar, xT 0.57DemirolJakob Hedenquist: 162 passningar, xT 0.08HedenquistAlieu Atlee Manneh: 159 passningar, xT 0.49MannehEdvard Carrick: 112 passningar, xT -0.12CarrickLudvig Nåvik: 99 passningar, xT 0.25NåvikMalte Hallin: 90 passningar, xT 0.15HallinJonas Olsson: 72 passningar, xT 0.14OlssonMarc Manchon I Armans: 67 passningar, xT 0.41ArmansElvis Hansson: 65 passningar, xT 0.14HanssonCarl Björk: 63 passningar, xT -0.05Björk
    Ljungskile
    Gideon Mensah: 204 passningar, xT 0.16MensahFilip Ambroz: 181 passningar, xT 0.89AmbrozIvan Maric: 176 passningar, xT 0.28MaricGustav Johanströmmer Hedin: 168 passningar, xT 0.44HedinDaniel Ljung: 163 passningar, xT 1.38LjungEmilio Reljanovic: 127 passningar, xT 0.69ReljanovicDaniel Lagerlöf: 104 passningar, xT 0.66LagerlöfVilmer Tyrén: 88 passningar, xT 0.6TyrénLukas Eriksson: 76 passningar, xT 0.36ErikssonMehmet Uzel: 71 passningar, xT 0.08UzelElton Hedström: 44 passningar, xT -0.07Hedström
    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.

    GIF Sundsvall
    Lucas Forsberg: 218 passningar, xT 0.43ForsbergAlper Demirol: 213 passningar, xT 0.57DemirolJakob Hedenquist: 162 passningar, xT 0.08HedenquistAlieu Atlee Manneh: 159 passningar, xT 0.49MannehEdvard Carrick: 112 passningar, xT -0.12CarrickLudvig Nåvik: 99 passningar, xT 0.25NåvikMalte Hallin: 90 passningar, xT 0.15HallinJonas Olsson: 72 passningar, xT 0.14OlssonMarc Manchon I Armans: 67 passningar, xT 0.41ArmansElvis Hansson: 65 passningar, xT 0.14HanssonCarl Björk: 63 passningar, xT -0.05Björk
    Ljungskile
    Gideon Mensah: 204 passningar, xT 0.16MensahFilip Ambroz: 181 passningar, xT 0.89AmbrozIvan Maric: 176 passningar, xT 0.28MaricGustav Johanströmmer Hedin: 168 passningar, xT 0.44HedinDaniel Ljung: 163 passningar, xT 1.38LjungEmilio Reljanovic: 127 passningar, xT 0.69ReljanovicDaniel Lagerlöf: 104 passningar, xT 0.66LagerlöfVilmer Tyrén: 88 passningar, xT 0.6TyrénLukas Eriksson: 76 passningar, xT 0.36ErikssonMehmet Uzel: 71 passningar, xT 0.08UzelElton Hedström: 44 passningar, xT -0.07Hedström

    The teams in numbers

    PerformanceGIF SundsvallLjungskile
    Points1628
    xPoints30.733.5
    xG per match0.921.5
    xGA per match1.51.4
    xG within 8s of winning the ball0.220.25
    xGA within 8s of losing the ball0.240.31
    Playing styleGIF SundsvallLjungskile
    Build-up efficiency0.30.36
    Field tilt0.360.48
    xT per match1.11.6
    xTA per match1.71.5
    Won balls, offensive half2832
    Pressing intensity0.50.56
    Pressing efficiency0.230.29
    Pressing efficiency, offensive half0.240.29
    Entries into the box per match1017
    Entries into the box against1515
    Pass completion %0.760.75
    Pass completion % under pressure0.70.69
    Passes per match303338
    Passes against per match483346
    Switches of play per match16.419.3
    Long balls per match3037
    Set piecesGIF SundsvallLjungskile
    xG from free kicks0.070.16
    Corners per match4.55.8
    Corners against per match5.55.1
    xG per corner0.020.03
    xGA per corner against0.030.03
    First touch, offensive corners %0.440.4
    First touch, defensive corners %0.580.64
    OtherGIF SundsvallLjungskile
    Throw-in control0.570.53
    The goalkeepersJonas Olsson (GIF Sundsvall)Lukas Eriksson (Ljungskile)
    Saves8584
    Save %64%72%
    xG prevented45%56%
    Claims137 (93%)146 (95%)

    Teams & more matches this round

    Frequently asked questions

    Who wins GIF Sundsvall vs Ljungskile according to our model?

    The model gives Ljungskile a 50% win probability. Full 1X2 picture: GIF Sundsvall 26%, draw 24%, Ljungskile 50%.

    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 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.