Swedish SuperettanBorås Arena, Borås12°12 km/h

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    NorrbyNorrbyCounter-attacks & crosses
    vs
    Varbergs BoISVarbergs BoISCounter-attacks & crosses
    The model's lean: 2 · Varbergs BoIS (42%)Best value by the model: Over 2,5 @ 1.75 (+2 %)

    NorrbyVarbergs BoIS · Swedish Superettan

    1 · Norrby 33%X 24%42% Varbergs BoIS · 2

    Analysis: NorrbyVarbergs BoIS

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

    Varbergs BoIS are the model's favorite with a 42% win chance, despite Norrby's home advantage and a narrow xG difference. The visitors, with a direct, counter-attacking style similar to Norrby's, have a slight upper hand. This tactical mirroring suggests a battle of attrition rather than open play, which might tilt the scales for Varbergs. Still, Norrby's three-game losing streak can't be ignored, hinting at possible vulnerabilities in their setup.

    The expected goals paint a close encounter, with Norrby registering 1.53 and Varbergs 1.50. This almost even xG spread underscores the likelihood of a tight match. The most probable scoreline of 1-1 at 11% supports this, while 1-2 and 2-1 both sit at 8%. Both teams share a counter-attacking approach reliant on crosses, which could cancel each other out, reducing clear chances.

    Yet, the model gives an over 2.5 goals probability of 58%, a nod to potential defensive lapses or late drama. The higher-than-usual 61% chance for both teams scoring fits this narrative, even if the individual margins seem slim. Thus, while the risk of a low-scoring stalemate exists, the odds favor a game where defenses might not hold entirely.

    Norrby face a tough challenge against a more points-rich Varbergs side, albeit with a favorable xPoints differential. The visitors have bested Norrby in their only meeting since 2024, though the small sample size limits its weight. The crucial takeaway from this matchup is Varbergs BoIS's ability to capitalize on Norrby's current poor run.

    For bettors, the value lies in the away win at Bet365, offered at odds of 2.60. Given the model's preference for Varbergs and Norrby's recent decline, this represents an edge worth considering. The match's nuances suggest a 1-2 result, aligning with the visitors' win probability and the over 2.5 goals expectation.

    NorrbyNorrby
    Form LDLLL
    League ranking xG #8xGA #15xT #15xP/match #3Points #12
    Key players
    • Julius JohanssonFxG 0.20 · xT 0.15
    • Azeez Temitope YusufFxG 0.27 · xT 0.01
    • Olle BacklundRWxG 0.05 · xT 0.18
    Varbergs BoISVarbergs BoIS
    Form LDLWD
    League ranking xG #7xGA #10xT #10xP/match #7Points #2
    Key players
    • Shanyder BorgelinFxG 0.39 · xT 0.05
    • Albin WinboCAMxG 0.12 · xT 0.39
    • Erion SadikuCDMxG 0.02 · xT 0.11

    Match prediction: NorrbyVarbergs BoIS

    Predicted score matrix

    Varbergs BoIS
    Norrby
    0
    1
    2
    3
    4+
    0
    0–05.2%
    0–16.9%
    0–25.5%
    0–32.7%
    0–4+1.4%
    1
    1–07.1%
    1–111.4%
    1–28.3%
    1–34.2%
    1–4+2.2%
    2
    2–05.7%
    2–18.5%
    2–26.4%
    2–33.2%
    2–4+1.7%
    3
    3–02.9%
    3–14.3%
    3–23.2%
    3–31.6%
    3–4+0.8%
    4+
    4+–01.5%
    4+–12.3%
    4+–21.7%
    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. 2.2-18%
    3. 3.1-28%
    4. 4.1-07%
    5. 5.0-17%
    Expected goals
    1,531,50
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.05
    Over 2,558%
    @1.75EV+0%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Varbergs BoIS or draw (X2)62%
    • Over 1.5 goals81%

    Combined probability

    50%

    Fair odds

    2.01

    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 (X2)62%
    • Over 2.5 goals58%
    • Wilhelm Ärlig to score18%

    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 score61%
    • Over 2.5 goals58%
    • Julius Johansson to score19%
    • Erion Sadiku 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+).

    • Over 2.558% probability@1.75PinnacleEV+2%reference odds
    • Over 2.558% probability@1.72BetsafeEV+0%reference odds
    • Over 2.558% probability@1.72BetssonEV+0%reference odds
    Bookmaker1 · NorrbyX2 · Varbergs BoIS
    Betfair Exchange1.101.111.10
    Betsafe2.823.51
    EV+ 0%
    2.36
    Betsson2.823.51
    EV+ 0%
    2.36
    Nordicbet2.823.51
    EV+ 0%
    2.36
    Pinnacle2.833.572.32

    Odds updated 11 Sept, 05:10

    Statistics

    Head-to-head

    1 matches
    Norrby 0Draw 0Varbergs BoIS 1
    Goals: 02 (⌀ 2)

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

    Key facts

    • Norrby IF have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

    Norrby
    Varbergs BoIS
    When goals are scored and conceded 2026
    Norrby (2733)
    Varbergs BoIS (3928)
    Pass networks

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

    Norrby
    Vidar Svendsén: 240 passningar, xT 0.33SvendsénJoel Hjalmar: 209 passningar, xT 0.8HjalmarTure Spendler: 174 passningar, xT 1.93SpendlerCharlie Axede: 172 passningar, xT 0.6AxedeJohannes Engvall: 145 passningar, xT 0.37EngvallSebastian Banozic: 124 passningar, xT 0.37BanozicJulius Johansson: 105 passningar, xT 0.41JohanssonAzeez Temitope Yusuf: 80 passningar, xT 0.1YusufOlle Backlund: 80 passningar, xT 0.54BacklundJamie Bichis: 54 passningar, xT 0.21BichisAdam Sjöberg: 40 passningar, xT 0.02Sjöberg
    Varbergs BoIS
    Gustav Broman: 245 passningar, xT 0.69BromanEmil Hellman: 223 passningar, xT 1.17HellmanEdvin Tellgren: 213 passningar, xT 0.39TellgrenErion Sadiku: 204 passningar, xT 0.35SadikuAlbin Winbo: 172 passningar, xT 1.04WinboIsak Valentin Vidjeskog: 134 passningar, xT 0.38VidjeskogNoah Johansson: 93 passningar, xT 0.12JohanssonLucas Sibelius: 86 passningar, xT 0.42SibeliusNiklas Dahlström: 84 passningar, xT 0.09DahlströmWilhelm Ärlig: 74 passningar, xT 0.23ÄrligDaniel Strindholm: 58 passningar, xT 0.24Strindholm
    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: 240 passningar, xT 0.33SvendsénJoel Hjalmar: 209 passningar, xT 0.8HjalmarTure Spendler: 174 passningar, xT 1.93SpendlerCharlie Axede: 172 passningar, xT 0.6AxedeJohannes Engvall: 145 passningar, xT 0.37EngvallSebastian Banozic: 124 passningar, xT 0.37BanozicJulius Johansson: 105 passningar, xT 0.41JohanssonAzeez Temitope Yusuf: 80 passningar, xT 0.1YusufOlle Backlund: 80 passningar, xT 0.54BacklundJamie Bichis: 54 passningar, xT 0.21BichisAdam Sjöberg: 40 passningar, xT 0.02Sjöberg
    Varbergs BoIS
    Gustav Broman: 245 passningar, xT 0.69BromanEmil Hellman: 223 passningar, xT 1.17HellmanEdvin Tellgren: 213 passningar, xT 0.39TellgrenErion Sadiku: 204 passningar, xT 0.35SadikuAlbin Winbo: 172 passningar, xT 1.04WinboIsak Valentin Vidjeskog: 134 passningar, xT 0.38VidjeskogNoah Johansson: 93 passningar, xT 0.12JohanssonLucas Sibelius: 86 passningar, xT 0.42SibeliusNiklas Dahlström: 84 passningar, xT 0.09DahlströmWilhelm Ärlig: 74 passningar, xT 0.23ÄrligDaniel Strindholm: 58 passningar, xT 0.24Strindholm

    The teams in numbers

    PerformanceNorrbyVarbergs BoIS
    Points2338
    xPoints3530.8
    xG per match1.31.4
    xGA per match1.51.4
    xG within 8s of winning the ball0.270.39
    xGA within 8s of losing the ball0.250.23
    Playing styleNorrbyVarbergs BoIS
    Build-up efficiency0.350.33
    Field tilt0.360.44
    xT per match1.31.5
    xTA per match1.81.4
    Won balls, offensive half3136
    Pressing intensity0.550.58
    Pressing efficiency0.250.26
    Pressing efficiency, offensive half0.250.27
    Entries into the box per match1214
    Entries into the box against1813
    Pass completion %0.730.73
    Pass completion % under pressure0.660.69
    Passes per match292298
    Passes against per match460374
    Switches of play per match19.520
    Long balls per match3135
    Set piecesNorrbyVarbergs BoIS
    xG from free kicks0.140.12
    Corners per match4.84.9
    Corners against per match5.84.5
    xG per corner0.030.04
    xGA per corner against0.020.03
    First touch, offensive corners %0.340.38
    First touch, defensive corners %0.480.66
    OtherNorrbyVarbergs BoIS
    Throw-in control0.440.44
    The goalkeepersSebastian Banozic (Norrby)Oscar Ekman (Varbergs BoIS)
    Saves7341
    Save %69%65%
    xG prevented50%39%
    Claims145 (92%)84 (94%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Norrby vs Varbergs BoIS according to our model?

    The model gives Varbergs BoIS a 42% win probability. Full 1X2 picture: Norrby 33%, draw 24%, Varbergs BoIS 42%.

    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 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 61% 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.