Swedish SuperettanNP3 Arena, Sundsvall17°1,7 mm13 km/h

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    GIF SundsvallGIF SundsvallLow block & direct
    10
    NorrbyNorrbyCounter-attacks & crosses
    The model's lean: 2 · Norrby (52%)

    GIF SundsvallNorrby · Swedish Superettan

    1 · GIF Sundsvall 24%X 24%52% Norrby · 2

    Analysis: GIF SundsvallNorrby

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

    TEXT: Norrby might just have the edge when they face GIF Sundsvall, a team languishing in the lower third of the Superettan standings. The visitors, with 23 points on the board, are clearly ahead of the hosts who have only 10 points. This disparity is reflected in the model's probabilities, which give Norrby a 52% chance of winning.

    While GIF Sundsvall's style is characterized by a low defensive block and direct play, Norrby leans heavily on counter-attacks and crossing, making them a potentially dangerous opponent. The expected goals reinforce this view, with Norrby predicted to score 1.54 compared to GIF Sundsvall's 1.08. The visitors seem better equipped to capitalize on their attacking opportunities.

    Notably, in the lone head-to-head clash since 2024, Norrby emerged victorious. Although this is a small sample size and doesn't weigh as heavily as current form and expected goals, it nevertheless hints at Norrby's potential dominance. The most likely scorelines reflect this balance, with a 1-1 draw at 12% and a 0-1 away win at 11%.

    The over/under 2.5 goals line is finely poised at 49% for over, and there's a slight tilt towards both teams finding the net at 52%. However, given the playing styles and defensive capabilities, a low-scoring affair seems more probable.

    From a betting perspective, the standout value lies in backing Norrby at odds of 2.36 with bookmakers like Betsafe, Betsson, and Nordicbet. The model sees a 22% edge here, underscoring the potential for a profitable outcome if Norrby's form holds true. Expect a tight scoreline such as 1-1 or 0-1, the model's top-rated outcomes, reflecting Norrby's superior current form and tactical prowess.

    GIF SundsvallGIF Sundsvall
    Form LLLDL
    League ranking xG #14xGA #10xT #16xP/match #9Points #16
    Key players
    • Taiki KagayamaFxG 0.11 · xT 0.11
    • Suwaibou KebbehFxG 0.32 · xT 0.03
    • Miguel SandbergLWxG 0.07 · xT 0.24
    NorrbyNorrby
    Form DDWLD
    League ranking xG #10xGA #14xT #15xP/match #3Points #12
    Key players
    • Julius JohanssonFxG 0.19 · xT 0.16
    • Azeez Temitope YusufFxG 0.29 · xT 0.00
    • Olle BacklundRWxG 0.07 · xT 0.20
    Final score
    10
    The model missed the outcome
    Predicted probabilities: GIF Sundsvall 24% · Draw 24% · Norrby 52%

    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 - Norrby IFBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,82fair 8,41-19 %
    Miss
    Matchresultat - GIF SundsvallBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 10,06fair 17,02-41 %
    Miss

    Match prediction: GIF SundsvallNorrby

    Predicted score matrix

    Norrby
    GIF Sundsvall
    0
    1
    2
    3
    4+
    0
    0–07.6%
    0–110.9%
    0–28.7%
    0–34.4%
    0–4+2.4%
    1
    1–07.5%
    1–112.5%
    1–29.3%
    1–34.8%
    1–4+2.6%
    2
    2–04.2%
    2–16.5%
    2–25.0%
    2–32.6%
    2–4+1.4%
    3
    3–01.5%
    3–12.3%
    3–21.8%
    3–30.9%
    3–4+0.5%
    4+
    4+–00.5%
    4+–10.8%
    4+–20.6%
    4+–30.3%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-111%
    3. 3.1-29%
    4. 4.0-29%
    5. 5.0-08%
    Expected goals
    1,081,54
    Both teams to score
    52%

    Over/under goals

    Expected goals: 2,6
    Under 2,551%
    @2.00EV+3%
    Over 2,549%
    @1.84

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Norrby to win52%
    • Under 3.5 goals73%

    Combined probability

    33%

    Fair odds

    3.00

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

    02 · 3 legs

    Balanced

    • Norrby to win52%
    • Under 2.5 goals51%
    • Malte Ljungkull to score25%

    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 goals49%
    • Malte Ljungkull to score25%
    • Hugo Aviander to be booked19%

    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 · Norrby52% probability@2.18BetsafeEV+13%reference odds
    • 2 · Norrby52% probability@2.18BetssonEV+13%reference odds
    • 2 · Norrby52% probability@2.18NordicbetEV+13%reference odds
    Bookmaker1 · GIF SundsvallX2 · Norrby
    Betsafe3.263.35
    EV+ 13%
    2.18
    Betsson3.263.35
    EV+ 13%
    2.18
    Nordicbet3.263.35
    EV+ 13%
    2.18
    Pinnacle3.463.63
    EV+ 7%
    2.06

    Odds updated 31 Aug, 18:26

    Odds movement

    Market signal

    The market has moved clearly towards an Norrby win since 26 August — the odds have shortened from 2.22 to 2.06 (−7%).

    1+10 %
    35 %25 %

    3.153.46

    X+8 %
    32 %22 %

    3.373.63

    2-7 %
    48 %38 %

    2.222.06

    Over 2,5-2 %
    56 %46 %

    1.871.84

    Pinnacle · 9 recorded price levels · 26/08/2026 → 31/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    1 matches
    GIF Sundsvall 0Draw 0Norrby 1
    Goals: 13 (⌀ 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).

    GIF Sundsvall
    Norrby
    When goals are scored and conceded 2026
    GIF Sundsvall (1444)
    Norrby (2527)
    Pass networks

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

    GIF Sundsvall
    Lucas Forsberg: 205 passningar, xT 0.43ForsbergMalte Hallin: 199 passningar, xT 0.42HallinAlper Demirol: 147 passningar, xT 0.9DemirolJakob Hedenquist: 136 passningar, xT 0.15HedenquistMarc Manchon I Armans: 126 passningar, xT 0.82ArmansAlieu Atlee Manneh: 121 passningar, xT 0.25MannehTaiki Kagayama: 106 passningar, xT 0.6KagayamaJonas Olsson: 99 passningar, xT 0.32OlssonLudvig Nåvik: 79 passningar, xT 0.31NåvikEdvard Carrick: 53 passningar, xT 0.14CarrickEron Gojani: 49 passningar, xT 0.87Gojani
    Norrby
    Vidar Svendsén: 222 passningar, xT 0.38SvendsénTure Spendler: 201 passningar, xT 1.84SpendlerJoel Hjalmar: 200 passningar, xT 0.69HjalmarCharlie Axede: 145 passningar, xT -0.01AxedeJohannes Engvall: 134 passningar, xT 0.18EngvallJulius Johansson: 126 passningar, xT 0.91JohanssonSebastian Banozic: 121 passningar, xT 0.29BanozicFilip Gustafsson: 72 passningar, xT -0.02GustafssonOlle Backlund: 66 passningar, xT 0.81BacklundKevin Liimatainen: 65 passningar, xT -0.01LiimatainenAzeez Temitope Yusuf: 59 passningar, xT -0.01Yusuf
    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: 205 passningar, xT 0.43ForsbergMalte Hallin: 199 passningar, xT 0.42HallinAlper Demirol: 147 passningar, xT 0.9DemirolJakob Hedenquist: 136 passningar, xT 0.15HedenquistMarc Manchon I Armans: 126 passningar, xT 0.82ArmansAlieu Atlee Manneh: 121 passningar, xT 0.25MannehTaiki Kagayama: 106 passningar, xT 0.6KagayamaJonas Olsson: 99 passningar, xT 0.32OlssonLudvig Nåvik: 79 passningar, xT 0.31NåvikEdvard Carrick: 53 passningar, xT 0.14CarrickEron Gojani: 49 passningar, xT 0.87Gojani
    Norrby
    Vidar Svendsén: 222 passningar, xT 0.38SvendsénTure Spendler: 201 passningar, xT 1.84SpendlerJoel Hjalmar: 200 passningar, xT 0.69HjalmarCharlie Axede: 145 passningar, xT -0.01AxedeJohannes Engvall: 134 passningar, xT 0.18EngvallJulius Johansson: 126 passningar, xT 0.91JohanssonSebastian Banozic: 121 passningar, xT 0.29BanozicFilip Gustafsson: 72 passningar, xT -0.02GustafssonOlle Backlund: 66 passningar, xT 0.81BacklundKevin Liimatainen: 65 passningar, xT -0.01LiimatainenAzeez Temitope Yusuf: 59 passningar, xT -0.01Yusuf

    The teams in numbers

    PerformanceGIF SundsvallNorrby
    Points1023
    xPoints27.330.5
    xG per match0.991.3
    xGA per match1.41.5
    xG within 8s of winning the ball0.260.26
    xGA within 8s of losing the ball0.210.27
    Playing styleGIF SundsvallNorrby
    Build-up efficiency0.30.35
    Field tilt0.370.36
    xT per match1.11.3
    xTA per match1.61.8
    Won balls, offensive half2929
    Pressing intensity0.50.54
    Pressing efficiency0.230.25
    Pressing efficiency, offensive half0.250.25
    Entries into the box per match1112
    Entries into the box against1418
    Pass completion %0.760.73
    Pass completion % under pressure0.690.67
    Passes per match306289
    Passes against per match475468
    Switches of play per match16.819.1
    Long balls per match3031
    Set piecesGIF SundsvallNorrby
    xG from free kicks0.060.15
    Corners per match4.64.6
    Corners against per match5.25.3
    xG per corner0.030.04
    xGA per corner against0.020.03
    First touch, offensive corners %0.470.36
    First touch, defensive corners %0.560.43
    OtherGIF SundsvallNorrby
    Throw-in control0.570.44
    The goalkeepersJonas Olsson (GIF Sundsvall)Sebastian Banozic (Norrby)
    Saves7659
    Save %63%69%
    xG prevented44%48%
    Claims124 (93%)123 (93%)

    Teams & more matches this round

    Frequently asked questions

    Who wins GIF Sundsvall vs Norrby according to our model?

    The model gives Norrby a 52% win probability. Full 1X2 picture: GIF Sundsvall 24%, draw 24%, Norrby 52%.

    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 49% and under at 51%.

    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.