Swedish SuperettanLandskrona IP, Landskrona16°9,9 mm28 km/h

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    Landskrona BoISLandskrona BoISPossession control
    vs
    GIF SundsvallGIF SundsvallLow block & direct
    The model's lean: 1 · Landskrona BoIS (63%)

    Landskrona BoISGIF Sundsvall · Swedish Superettan

    1 · Landskrona BoIS 63%X 20%17% GIF Sundsvall · 2

    Analysis: Landskrona BoISGIF Sundsvall

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

    A 63% win probability for Landskrona BoIS paints a clear picture of dominance, especially when facing a GIF Sundsvall side that's a shadow of their former selves. The visitors' 17% chance of victory speaks volumes about the uphill battle they face. While past encounters have favored Landskrona with three wins in their last five meetings, the sample size is small and should be considered alongside current form and expected goals. The hosts' superior xG and xPoints underline their advantage, making them more than just favorites on paper.

    The playing styles further emphasize the disparity. Landskrona’s possession-based approach is likely to exploit Sundsvall’s low defensive setup, particularly as Sundsvall might struggle to transition effectively against a side that can control the tempo. This tactical matchup, combined with a damp pitch from the expected 8.4 mm of rain, could see Sundsvall pinned back for long spells, struggling to break free and mount meaningful attacks.

    In terms of potential scorelines, the model leans towards a 2-0 or 1-0 victory for the hosts as most likely, both underlining their attacking potency and defensive reliability against Sundsvall’s more direct but less effective style. An expected goals tally of 2.12 to 0.89 for Landskrona suggests they should find the net at least a couple of times, particularly with Sundsvall's defense allowing 1.4 xGA per match.

    There's an interesting angle on total goals as well. With the model estimating a 58% likelihood for over 2.5 goals, the wet conditions are factored into this assessment. Odds of 1.75 for the over 2.5 goals with Betsafe, Betsson, and Nordicbet create a slim value edge, thanks to the model's numbers. While it's not a guarantee, there's a solid rationale for backing the over, considering the attacking threat and tactical mismatches in play.

    Landskrona BoISLandskrona BoIS
    Form DDDWL
    League ranking xG #6xGA #7xT #9xP/match #9Points #7
    Key players
    • Adam EgnellFxG 0.23 · xT 0.30
    • Zakaria LoukiliFxG 0.21 · xT 0.20
    • Edi SylisufajFxG 0.52 · xT 0.17
    GIF SundsvallGIF Sundsvall
    Form LDLWW
    League ranking xG #15xGA #12xT #16xP/match #12Points #16
    Key players
    • Suwaibou KebbehFxG 0.32 · xT 0.03
    • Taiki KagayamaFxG 0.10 · xT 0.11
    • Miguel SandbergLWxG 0.07 · xT 0.24

    Match prediction: Landskrona BoISGIF Sundsvall

    Predicted score matrix

    GIF Sundsvall
    Landskrona BoIS
    0
    1
    2
    3
    4+
    0
    0–05.2%
    0–14.1%
    0–22.0%
    0–30.6%
    0–4+0.2%
    1
    1–010.1%
    1–19.6%
    1–24.2%
    1–31.2%
    1–4+0.3%
    2
    2–011.0%
    2–19.9%
    2–24.4%
    2–31.3%
    2–4+0.4%
    3
    3–07.8%
    3–17.0%
    3–23.1%
    3–30.9%
    3–4+0.3%
    4+
    4+–06.8%
    4+–16.0%
    4+–22.7%
    4+–30.8%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-011%
    2. 2.1-010%
    3. 3.2-110%
    4. 4.1-110%
    5. 5.3-08%
    Expected goals
    2,120,89
    Both teams to score
    52%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.18
    Over 2,558%
    @1.66

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Landskrona BoIS to win63%
    • Over 1.5 goals81%

    Combined probability

    55%

    Fair odds

    1.82

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

    02 · 3 legs

    Balanced

    • Landskrona BoIS to win63%
    • Over 2.5 goals58%
    • Adam Egnell 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 score52%
    • Over 2.5 goals58%
    • Adam Egnell to score36%
    • Hugo Aviander to be booked21%

    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 · Landskrona BoISX2 · GIF Sundsvall
    Betsafe1.574.125.42
    Betsson1.574.125.42
    Nordicbet1.574.125.42
    Pinnacle1.554.205.31

    Odds updated 11 Sept, 16:16

    Odds movement

    1+1 %
    63 %58 %

    1.541.55

    X+1 %
    25 %20 %

    4.144.20

    2-3 %
    20 %15 %

    5.495.31

    Over 2,5-4 %
    58 %53 %

    1.741.66

    Pinnacle · 2 recorded price levels · 11/09/2026 → 11/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    5 matches
    Landskrona BoIS 3Draw 1GIF Sundsvall 1
    Goals: 85 (⌀ 2,6)

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

    Key facts

    • Landskrona BoIS dominate this fixture historically: 3 wins to 1 in 5 meetings.
    xG & xGA per match — 3-game rolling average

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

    Landskrona BoIS
    GIF Sundsvall
    When goals are scored and conceded 2026
    Landskrona BoIS (3125)
    GIF Sundsvall (1644)
    Pass networks

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

    Landskrona BoIS
    Tobias Karlsson: 432 passningar, xT 0.37KarlssonGustaf Bruzelius: 309 passningar, xT 0.14BruzeliusGustaf Westström: 298 passningar, xT 1.26WestströmAndreas Murbeck: 269 passningar, xT 0.22MurbeckAndré Alvarez Perez: 195 passningar, xT 0.25PerezConstantino Capotondi: 179 passningar, xT 2.35CapotondiZakaria Loukili: 141 passningar, xT 0.83LoukiliAdam Egnell: 98 passningar, xT 0.07EgnellAmr Kaddoura: 90 passningar, xT 0.19KaddouraMax'Med Omar Mohamed: 89 passningar, xT 0.05MohamedKevin Jensen: 74 passningar, xT 0.45Jensen
    GIF Sundsvall
    Lucas Forsberg: 235 passningar, xT 0.48ForsbergAlper Demirol: 228 passningar, xT 1.36DemirolMalte Hallin: 168 passningar, xT 0.34HallinJakob Hedenquist: 158 passningar, xT 0.11HedenquistAlieu Atlee Manneh: 136 passningar, xT 0.36MannehLudvig Nåvik: 112 passningar, xT 0.27NåvikEdvard Carrick: 90 passningar, xT 0.02CarrickTaiki Kagayama: 88 passningar, xT 0.49KagayamaJonas Olsson: 87 passningar, xT 0.08OlssonEron Gojani: 68 passningar, xT 0.74GojaniMarc Manchon I Armans: 64 passningar, xT 0.5Armans
    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.

    Landskrona BoIS
    Tobias Karlsson: 432 passningar, xT 0.37KarlssonGustaf Bruzelius: 309 passningar, xT 0.14BruzeliusGustaf Westström: 298 passningar, xT 1.26WestströmAndreas Murbeck: 269 passningar, xT 0.22MurbeckAndré Alvarez Perez: 195 passningar, xT 0.25PerezConstantino Capotondi: 179 passningar, xT 2.35CapotondiZakaria Loukili: 141 passningar, xT 0.83LoukiliAdam Egnell: 98 passningar, xT 0.07EgnellAmr Kaddoura: 90 passningar, xT 0.19KaddouraMax'Med Omar Mohamed: 89 passningar, xT 0.05MohamedKevin Jensen: 74 passningar, xT 0.45Jensen
    GIF Sundsvall
    Lucas Forsberg: 235 passningar, xT 0.48ForsbergAlper Demirol: 228 passningar, xT 1.36DemirolMalte Hallin: 168 passningar, xT 0.34HallinJakob Hedenquist: 158 passningar, xT 0.11HedenquistAlieu Atlee Manneh: 136 passningar, xT 0.36MannehLudvig Nåvik: 112 passningar, xT 0.27NåvikEdvard Carrick: 90 passningar, xT 0.02CarrickTaiki Kagayama: 88 passningar, xT 0.49KagayamaJonas Olsson: 87 passningar, xT 0.08OlssonEron Gojani: 68 passningar, xT 0.74GojaniMarc Manchon I Armans: 64 passningar, xT 0.5Armans

    The teams in numbers

    PerformanceLandskrona BoISGIF Sundsvall
    Points3416
    xPoints31.129
    xG per match1.40.95
    xGA per match1.31.4
    xG within 8s of winning the ball0.240.23
    xGA within 8s of losing the ball0.370.24
    Playing styleLandskrona BoISGIF Sundsvall
    Build-up efficiency0.320.3
    Field tilt0.570.37
    xT per match1.51.1
    xTA per match1.41.7
    Won balls, offensive half3028
    Pressing intensity0.560.5
    Pressing efficiency0.290.24
    Pressing efficiency, offensive half0.290.25
    Entries into the box per match1611
    Entries into the box against1314
    Pass completion %0.810.76
    Pass completion % under pressure0.760.69
    Passes per match432305
    Passes against per match326466
    Switches of play per match13.517
    Long balls per match3130
    Set piecesLandskrona BoISGIF Sundsvall
    xG from free kicks0.180.06
    Corners per match5.24.8
    Corners against per match4.85.3
    xG per corner0.030.02
    xGA per corner against0.020.03
    First touch, offensive corners %0.480.46
    First touch, defensive corners %0.550.59
    OtherLandskrona BoISGIF Sundsvall
    Throw-in control0.550.57
    The goalkeepersAmr Kaddoura (Landskrona BoIS)Jonas Olsson (GIF Sundsvall)
    Saves4678
    Save %73%64%
    xG prevented41%44%
    Claims103 (95%)129 (93%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Landskrona BoIS vs GIF Sundsvall according to our model?

    The model gives Landskrona BoIS a 63% win probability. Full 1X2 picture: Landskrona BoIS 63%, draw 20%, GIF Sundsvall 17%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 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 52% 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.