Swedish SuperettanBorås Arena, Borås13°2,7 mm17 km/h

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    NorrbyNorrbyCounter-attacks & crosses
    vs
    SandvikenSandvikenBalanced & physical
    The model's lean: 2 · Sandviken (38%)Soft draw

    NorrbySandviken · Swedish Superettan

    1 · Norrby 38%X 24%38% Sandviken · 2

    Analysis: NorrbySandviken

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

    A 38% probability for both Norrby and Sandviken sets the stage for a razor-thin encounter, but the edge leans towards the visitors. This balance shifts slightly when accounting for the expected goals, with Norrby looking to capitalize on their home advantage. The model highlights a likely 1-1 draw, capturing the symmetry between the two sides. Yet, Sandviken's superior xG per match suggests they may have the slight upper hand in creating opportunities.

    The expected goals and playing styles provide an intriguing backdrop. Norrby's reliance on counter-attacks and crosses may struggle to break down Sandviken's balanced and physical approach, especially if the rain dampens offensive momentum. This weather factor, already integrated into the model, could temper the scoring potential, but not enough to avoid the 59% probability for over 2.5 goals.

    The sole head-to-head match since 2024 ended in a draw, offering limited insight compared to the more telling season form and xG stats. Norrby's superior xPoints paints a picture of a team often performing better than their actual points suggest. However, Sandviken's lower xGA per match underscores a more resilient defense, potentially crucial in a tight contest.

    With both teams neck-and-neck in points—Norrby at 22 and Sandviken at 25—the visitors' slight edge in defensive metrics and xG could be pivotal. This match feels like a coin flip, but the 2.76 odds for a Sandviken win offer value across multiple bookmakers, as the model gives it a 38% chance. If you're looking for an edge in this finely balanced clash, the visitors' odds provide an enticing opportunity.

    NorrbyNorrby
    Form WDDWL
    League ranking xG #10xGA #14xT #15xP/match #5Points #12
    Key players
    • Julius JohanssonFxG 0.18 · xT 0.16
    • Azeez Temitope YusufFxG 0.29 · xT 0.01
    • Olle BacklundRWxG 0.07 · xT 0.19
    SandvikenSandviken
    Form LLWWL
    League ranking xG #4xGA #7xT #10xP/match #6Points #9
    Key players
    • Adam KianiLWxG 0.10 · xT 0.17
    • Linus TagessonRWxG 0.07 · xT 0.26
    • Karl BohmFxG 0.23 · xT 0.19

    Match prediction: NorrbySandviken

    Predicted score matrix

    Sandviken
    Norrby
    0
    1
    2
    3
    4+
    0
    0–05.0%
    0–16.7%
    0–25.3%
    0–32.6%
    0–4+1.4%
    1
    1–07.0%
    1–111.3%
    1–28.2%
    1–34.1%
    1–4+2.1%
    2
    2–05.7%
    2–18.6%
    2–26.4%
    2–33.2%
    2–4+1.7%
    3
    3–03.0%
    3–14.5%
    3–23.3%
    3–31.7%
    3–4+0.9%
    4+
    4+–01.6%
    4+–12.5%
    4+–21.8%
    4+–30.9%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.1-07%
    5. 5.0-17%
    Expected goals
    1,561,50
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,1
    Under 2,541%
    @2.28
    Over 2,559%
    @1.58

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Sandviken or draw (X2)61%
    • Over 1.5 goals81%

    Combined probability

    49%

    Fair odds

    2.03

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

    02 · 3 legs

    Balanced

    • Double chance Sandviken or draw (X2)61%
    • Over 2.5 goals59%
    • Karl Bohm to score21%

    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 score62%
    • Over 2.5 goals59%
    • Julius Johansson to score35%
    • Fabian Andersson 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+).

    • 2 · Sandviken38% probability@2.76BetsafeEV+5%reference odds
    • 2 · Sandviken38% probability@2.76BetssonEV+5%reference odds
    • 2 · Sandviken38% probability@2.76NordicbetEV+5%reference odds
    Bookmaker1 · NorrbyX2 · Sandviken
    Betsafe2.363.60
    EV+ 5%
    2.76
    Betsson2.363.60
    EV+ 5%
    2.76
    Nordicbet2.363.60
    EV+ 5%
    2.76

    Odds updated 17 Aug, 09:36

    Odds movement

    1-2 %
    42 %37 %

    2.422.36

    X+1 %
    29 %24 %

    3.583.60

    2+2 %
    37 %32 %

    2.702.76

    Betsson · 6 recorded price levels · 16/08/2026 → 17/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Norrby 0Draw 1Sandviken 0
    Goals: 22 (⌀ 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).

    Norrby
    Sandviken
    When goals are scored and conceded 2026
    Norrby (2426)
    Sandviken (3229)
    Pass networks

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

    Norrby
    Vidar Svendsén: 261 passningar, xT 0.52SvendsénJoel Hjalmar: 242 passningar, xT 0.98HjalmarTure Spendler: 239 passningar, xT 1.91SpendlerCharlie Axede: 176 passningar, xT 0AxedeJulius Johansson: 139 passningar, xT 1.19JohanssonSebastian Banozic: 112 passningar, xT 0.29BanozicJohannes Engvall: 107 passningar, xT 0.12EngvallOlle Backlund: 82 passningar, xT 0.81BacklundKevin Liimatainen: 79 passningar, xT 0.22LiimatainenJamie Bichis: 78 passningar, xT -0.14BichisAldin Nedzibovic: 74 passningar, xT 0.07Nedzibovic
    Sandviken
    Valassina Solo Diomande: 376 passningar, xT 0.84DiomandeFabian Andersson: 272 passningar, xT 0.28AnderssonGustav Thörn: 251 passningar, xT 0.29ThörnKasper Harletun: 208 passningar, xT 0.32HarletunKarl Bohm: 158 passningar, xT 0.75BohmAlan Carleton: 157 passningar, xT 0.23CarletonJohan Arvidsson: 142 passningar, xT 0.61ArvidssonLinus Tagesson: 135 passningar, xT 0.33TagessonAdam Kiani: 128 passningar, xT 0.39KianiMohammed Abubakari: 106 passningar, xT 0.08AbubakariNino Geiger: 92 passningar, xT 0.13Geiger
    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.

    Norrby
    Vidar Svendsén: 261 passningar, xT 0.52SvendsénJoel Hjalmar: 242 passningar, xT 0.98HjalmarTure Spendler: 239 passningar, xT 1.91SpendlerCharlie Axede: 176 passningar, xT 0AxedeJulius Johansson: 139 passningar, xT 1.19JohanssonSebastian Banozic: 112 passningar, xT 0.29BanozicJohannes Engvall: 107 passningar, xT 0.12EngvallOlle Backlund: 82 passningar, xT 0.81BacklundKevin Liimatainen: 79 passningar, xT 0.22LiimatainenJamie Bichis: 78 passningar, xT -0.14BichisAldin Nedzibovic: 74 passningar, xT 0.07Nedzibovic
    Sandviken
    Valassina Solo Diomande: 376 passningar, xT 0.84DiomandeFabian Andersson: 272 passningar, xT 0.28AnderssonGustav Thörn: 251 passningar, xT 0.29ThörnKasper Harletun: 208 passningar, xT 0.32HarletunKarl Bohm: 158 passningar, xT 0.75BohmAlan Carleton: 157 passningar, xT 0.23CarletonJohan Arvidsson: 142 passningar, xT 0.61ArvidssonLinus Tagesson: 135 passningar, xT 0.33TagessonAdam Kiani: 128 passningar, xT 0.39KianiMohammed Abubakari: 106 passningar, xT 0.08AbubakariNino Geiger: 92 passningar, xT 0.13Geiger

    The teams in numbers

    PerformanceNorrbySandviken
    Points2225
    xPoints28.227.2
    xG per match1.31.5
    xGA per match1.51.3
    xG within 8s of winning the ball0.240.23
    xGA within 8s of losing the ball0.240.33
    Playing styleNorrbySandviken
    Build-up efficiency0.350.35
    Field tilt0.360.58
    xT per match1.31.4
    xTA per match1.81.4
    Won balls, offensive half2827
    Pressing intensity0.550.55
    Pressing efficiency0.250.26
    Pressing efficiency, offensive half0.250.27
    Entries into the box per match1214
    Entries into the box against1815
    Pass completion %0.730.82
    Pass completion % under pressure0.670.78
    Passes per match290476
    Passes against per match461344
    Switches of play per match18.614.7
    Long balls per match3130
    Set piecesNorrbySandviken
    xG from free kicks0.150.09
    Corners per match4.64.6
    Corners against per match5.36.1
    xG per corner0.040.03
    xGA per corner against0.030.02
    First touch, offensive corners %0.360.48
    First touch, defensive corners %0.430.64
    OtherNorrbySandviken
    Throw-in control0.430.6
    The goalkeepersSebastian Banozic (Norrby)Otto Lindell (Sandviken)
    Saves5657
    Save %68%70%
    xG prevented49%48%
    Claims117 (94%)103 (97%)

    Frequently asked questions

    Who wins Norrby vs Sandviken according to our model?

    The model gives Sandviken a 38% win probability. Full 1X2 picture: Norrby 38%, draw 24%, Sandviken 38%.

    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 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 62% 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.