Swedish SuperettanBorås Arena, Borås7°1,8 mm16 km/h

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    NorrbyNorrbyCounter-attacks & crosses
    vs
    ÖsterÖsterCounter-attacks & crosses
    The model's lean: 1 · Norrby (40%)Soft drawBest value by the model: 2 · Öster @ 3.05 (+10 %)

    Norrby vs Öster · Swedish Superettan

    1 · Norrby 40%X 24%36% Öster · 2

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    Analysis: Norrby – Öster

    Sofia Andersson · · The model's read on the match · How the predictions work

    TEXT: Norrby's recent form at home suggests they're poised for a promising performance against Öster. With an expected goals tally of 1.55, the home side edges ahead slightly offensively, despite the more conventional table points favoring the visitors. Norrby’s style of play—focused on counter-attacks and crosses—aligns with that of their opponents, setting up an intriguing tactical battle. The match is tight on paper, but Norrby’s ability to create high-quality chances might be the tipping point.

    The single past encounter between these sides, resulting in a win for Öster, is a slim sample and holds less weight than current form and expected goals data. Interestingly, while Öster has outperformed in terms of points, their underlying metrics tell a different story. With xPoints significantly lower than their current tally (29.8 against Norrby's 37.3), they might be riding a wave of unsustainable finishing or favorable variance.

    The expected goals against (xGA) figures give an edge to Norrby as well, with 1.4 compared to Öster’s 1.7. The model's probabilities mark Norrby as slight favorites at 40%, with a draw at 24% and an Öster win at 36%. The probability of both teams finding the net is high at 61%, suggesting the game could be closely contested, with both defenses being breached.

    The likelihood of a scoreline like 1-1 or 2-1 reflects the balanced nature of the matchup, but the probability of over 2.5 goals is notable at 58%. This could hint at a game with more action than the cautious model scorelines suggest. Despite the home side's favorable metrics, the strongest betting angle lies with the visitors. There's clear value in betting on an Öster win at odds of 2.95 with LeoVegas, as highlighted by a 36% model probability against a roughly 34% bookmaker implied probability — a 7% edge for the calculated punter.

    NorrbyNorrby
    Form LLLLD
    League ranking xG #9xGA #14xT #14xP/match #3Points #13
    Key players
    • Julius JohanssonFxG 0.21 · xT 0.16
    • Azeez Temitope YusufFxG 0.26 · xT 0.01
    • Olle BacklundRWxG 0.06 · xT 0.21
    ÖsterÖster
    Form DLLWL
    League ranking xG #12xGA #16xT #11xP/match #14Points #7
    Key players
    • Dennis OlssonLWxG 0.04 · xT 0.50
    • Linus CarlstrandFxG 0.45 · xT -0.02
    • Oscar UddenäsRWxG 0.17 · xT 0.12

    Match prediction: Norrby – Öster

    Predicted score matrix

    Öster →
    Norrby →
    0
    1
    2
    3
    4+
    0
    0–05.3%
    0–16.9%
    0–25.2%
    0–32.5%
    0–4+1.3%
    1
    1–07.4%
    1–111.5%
    1–28.1%
    1–33.9%
    1–4+2.0%
    2
    2–06.0%
    2–18.7%
    2–26.3%
    2–33.0%
    2–4+1.5%
    3
    3–03.1%
    3–14.5%
    3–23.3%
    3–31.6%
    3–4+0.8%
    4+
    4+–01.7%
    4+–12.5%
    4+–21.8%
    4+–30.9%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-28%
    4. 4.1-07%
    5. 5.0-17%
    Expected goals
    1,55–1,45
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.35
    Over 2,558%
    @1.55

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Norrby or draw (1X)65%
    • Over 1.5 goals80%

    Combined probability

    52%

    Fair odds

    1.92

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

    02 · 3 legs

    Balanced

    • Double chance Norrby or draw (1X)65%
    • Over 2.5 goals58%
    • Julius Johansson 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 score61%
    • Over 2.5 goals58%
    • Julius Johansson to score25%
    • Charlie Axede 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 · Öster36% probability@3.05BetsafeEV+10%reference odds
    • 2 · Öster36% probability@3.05NordicbetEV+10%reference odds
    • 2 · Öster36% probability@3.00LeoVegasEV+8%reference odds
    Bookmaker1 · NorrbyX2 · Öster
    Betsafe2.153.69
    EV+ 10%
    3.05
    LeoVegas2.103.60
    EV+ 8%
    3.00
    Nordicbet2.153.69
    EV+ 10%
    3.05

    Odds updated 3 Oct, 17:36

    Odds movement

    10 %
    46 %41 %

    2.10 → 2.10

    X+1 %
    28 %23 %

    3.55 → 3.60

    2+2 %
    33 %28 %

    2.95 → 3.00

    LeoVegas · 3 recorded price levels · 02/10/2026 → 03/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Norrby 0Draw 0Öster 1
    Goals: 1–2 (⌀ 3)

    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
    Öster
    When goals are scored and conceded — 2026
    Norrby (28–35)
    Öster (38–38)
    Pass networks

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

    Norrby
    Vidar Svendsén: 279 passningar, xT 0.38SvendsénTure Spendler: 199 passningar, xT 1.87SpendlerCharlie Axede: 169 passningar, xT 0.67AxedeJohannes Engvall: 157 passningar, xT 0.38EngvallJoel Hjalmar: 147 passningar, xT 0.56HjalmarJulius Johansson: 114 passningar, xT 0.37JohanssonOlle Backlund: 113 passningar, xT 0.9BacklundSebastian Banozic: 112 passningar, xT 0.28BanozicJamie Bichis: 65 passningar, xT 0.33BichisFilip Gustafsson: 62 passningar, xT -0.05GustafssonKevin Liimatainen: 59 passningar, xT 0.36Liimatainen
    Öster
    Sebastian Hedlund: 248 passningar, xT 0.15HedlundDennis Olsson: 213 passningar, xT 3.21OlssonHannes Bladh Pijaca: 207 passningar, xT 0.33PijacaKingsley Gyamfi: 183 passningar, xT 0.11GyamfiTatu Varmanen: 175 passningar, xT 0.58VarmanenKeyano Marrah: 140 passningar, xT 0.03MarrahOscar Uddenäs: 109 passningar, xT 0.43UddenäsCarl Lundahl Persson: 102 passningar, xT 0.17PerssonDaniel Ask: 90 passningar, xT 0.32AskMagnus Christensen: 82 passningar, xT -0.03ChristensenFilip Wilthorn Olsson: 69 passningar, xT 0.07Olsson
    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: 279 passningar, xT 0.38SvendsénTure Spendler: 199 passningar, xT 1.87SpendlerCharlie Axede: 169 passningar, xT 0.67AxedeJohannes Engvall: 157 passningar, xT 0.38EngvallJoel Hjalmar: 147 passningar, xT 0.56HjalmarJulius Johansson: 114 passningar, xT 0.37JohanssonOlle Backlund: 113 passningar, xT 0.9BacklundSebastian Banozic: 112 passningar, xT 0.28BanozicJamie Bichis: 65 passningar, xT 0.33BichisFilip Gustafsson: 62 passningar, xT -0.05GustafssonKevin Liimatainen: 59 passningar, xT 0.36Liimatainen
    Öster
    Sebastian Hedlund: 248 passningar, xT 0.15HedlundDennis Olsson: 213 passningar, xT 3.21OlssonHannes Bladh Pijaca: 207 passningar, xT 0.33PijacaKingsley Gyamfi: 183 passningar, xT 0.11GyamfiTatu Varmanen: 175 passningar, xT 0.58VarmanenKeyano Marrah: 140 passningar, xT 0.03MarrahOscar Uddenäs: 109 passningar, xT 0.43UddenäsCarl Lundahl Persson: 102 passningar, xT 0.17PerssonDaniel Ask: 90 passningar, xT 0.32AskMagnus Christensen: 82 passningar, xT -0.03ChristensenFilip Wilthorn Olsson: 69 passningar, xT 0.07Olsson

    The teams in numbers

    PerformanceNorrbyÖster
    Points2436
    xPoints37.329.8
    xG per match1.31.2
    xGA per match1.41.7
    xG within 8s of winning the ball0.210.23
    xGA within 8s of losing the ball0.250.29
    Playing styleNorrbyÖster
    Build-up efficiency0.350.35
    Field tilt0.380.45
    xT per match1.31.4
    xTA per match1.71.8
    Won balls, offensive half3128
    Pressing intensity0.540.54
    Pressing efficiency0.260.26
    Pressing efficiency, offensive half0.260.27
    Entries into the box per match1213
    Entries into the box against1720
    Pass completion %0.730.79
    Pass completion % under pressure0.670.74
    Passes per match297375
    Passes against per match450389
    Switches of play per match19.314
    Long balls per match3229
    Set piecesNorrbyÖster
    xG from free kicks0.160.2
    Corners per match5.35.1
    Corners against per match5.96.2
    xG per corner0.030.03
    xGA per corner against0.030.03
    First touch, offensive corners %0.310.4
    First touch, defensive corners %0.50.55
    OtherNorrbyÖster
    Throw-in control0.450.57
    The goalkeepersSebastian Banozic (Norrby)Carl Lundahl Persson (Öster)
    Saves78104
    Save %69%75%
    xG prevented52%55%
    Claims158 (92%)142 (87%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Norrby vs Öster according to our model?

    The model gives Norrby a 40% win probability. Full 1X2 picture: Norrby 40%, draw 24%, Öster 36%.

    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 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.