Swedish SuperettanOlympia, Helsingborg15°5,0 mm46 km/h

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    Helsingborgs IFHelsingborgs IFPossession control
    00
    NorrbyNorrbyCounter-attacks & crosses
    The model's lean: 1 · Helsingborgs IF (39%)Best value by the model: Over 3,5 @ 2.85 (+17 %)

    Helsingborgs IF vs Norrby · Swedish Superettan

    1 · Helsingborgs IF 39%X 24%37% Norrby · 2

    Analysis: Helsingborgs IFNorrby

    Marcus Johansson · · Analysis from the match model · How the predictions work

    FAKTA vs TEXT check: All statistics (probabilities, xG, xPoints, odds, form) match correctly. However, one error was found:

    The text states the match "leans towards a narrow 2-1 home victory," but per the facts, the most likely scoreline is actually 1-1 (10%), with 2-1 being second most likely (9%).

    Corrected text:

    Four consecutive losses hang over Norrby like a storm cloud as they visit Helsingborgs IF, a side clinging to a slight statistical edge with a 39% win probability. Although the head-to-head sample is limited to a single draw, form and expected goals paint a more robust picture. Helsingborgs, with their possession-heavy approach, find themselves slightly favored at home despite the visitors' stronger underlying metrics in expected points and goals.

    The match is primed for goals, with a 63% chance of over 2.5 and 64% for both teams to net. Rain could dampen the tempo, but it's factored into the numbers. Helsingborgs' style aims to control the flow, potentially stifling Norrby's counter-attacking thrust. Yet, Norrby's higher xG per match suggests potency in transition, which could exploit any lapse from the hosts.

    Value hunters note: despite Norrby's losing streak, they're priced attractively at 3.16 odds across Betsafe, Betsson, and Nordicbet. The model rates their win chance at 37%, offering a tempting 17% edge. This clash leans towards a tight 1-1 draw as the most likely scoreline, though a narrow 2-1 home win follows close behind — and don't ignore the statistical scent of value lingering with the visitors.

    Helsingborgs IFHelsingborgs IF
    Form LDLWL
    League ranking xG #13xGA #14xT #5xP/match #16Points #10
    Key players
    • Max SvenssonLWxG 0.24 · xT 0.50
    • Julian LarssonFxG 0.14 · xT 0.13
    • Alexander JohanssonFxG 0.40 · xT 0.04
    NorrbyNorrby
    Form DLLLL
    League ranking xG #8xGA #13xT #15xP/match #3Points #14
    Key players
    • Julius JohanssonFxG 0.20 · xT 0.16
    • Azeez Temitope YusufFxG 0.27 · xT 0.01
    • Olle BacklundRWxG 0.06 · xT 0.20
    Final score
    00
    The model missed the outcome
    Predicted probabilities: Helsingborgs IF 39% · Draw 24% · Norrby 37%

    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 - Helsingborgs IFBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 6,63fair 5,38+23 %
    Miss
    Matchresultat - Norrby IFBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 9,28fair 10,21-9 %
    Miss

    Match prediction: Helsingborgs IFNorrby

    Predicted score matrix

    Norrby
    Helsingborgs IF
    0
    1
    2
    3
    4+
    0
    0–04.1%
    0–15.0%
    0–23.6%
    0–31.7%
    0–4+0.8%
    1
    1–06.9%
    1–110.2%
    1–26.8%
    1–33.1%
    1–4+1.5%
    2
    2–06.8%
    2–19.4%
    2–26.5%
    2–33.0%
    2–4+1.4%
    3
    3–04.3%
    3–15.9%
    3–24.1%
    3–31.9%
    3–4+0.9%
    4+
    4+–03.1%
    4+–14.3%
    4+–23.0%
    4+–31.4%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-19%
    3. 3.1-07%
    4. 4.1-27%
    5. 5.2-07%
    Expected goals
    1,891,38
    Both teams to score
    64%

    Over/under goals

    Expected goals: 3,3
    Under 2,537%
    @2.02
    Over 2,563%
    @1.81EV+13%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Helsingborgs IF or draw (1X)72%
    • Over 1.5 goals84%

    Combined probability

    61%

    Fair odds

    1.63

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

    02 · 3 legs

    Balanced

    • Double chance Helsingborgs IF or draw (1X)72%
    • Over 2.5 goals63%
    • Max Svensson to score32%

    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 score64%
    • Over 2.5 goals63%
    • Max Svensson to score32%
    • Daouda Amadou 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 3.541% probability@2.85BetsafeEV+17%reference odds
    • Over 3.541% probability@2.85BetssonEV+17%reference odds
    • Over 3.541% probability@2.85NordicbetEV+17%reference odds
    Bookmaker1 · Helsingborgs IFX2 · Norrby
    Betfair Exchange1.101.101.10
    Betsafe2.233.41
    EV+ 15%
    3.11
    Betsson2.233.41
    EV+ 15%
    3.11
    Nordicbet2.233.41
    EV+ 15%
    3.11
    Pinnacle2.243.48
    EV+ 17%
    3.17

    Odds updated 20 Sept, 14:23

    Odds movement

    1+8 %
    46 %41 %

    2.072.24

    X-7 %
    29 %24 %

    3.743.48

    20 %
    32 %27 %

    3.173.17

    Pinnacle · 8 recorded price levels · 15/09/2026 → 20/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Helsingborgs IF 0Draw 1Norrby 0
    Goals: 33 (⌀ 6)

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

    Key facts

    • Norrby IF have lost 4 in a row.
    xG & xGA per match — 3-game rolling average

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

    Helsingborgs IF
    Norrby
    When goals are scored and conceded 2026
    Helsingborgs IF (3645)
    Norrby (2835)
    Pass networks

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

    Helsingborgs IF
    Obafemi Awodesu: 259 passningar, xT 0.17AwodesuDemba N'Diaye: 227 passningar, xT 0.37N'DiayeSimon Bengtsson: 221 passningar, xT 0.27BengtssonJakob Voelkerling Persson: 204 passningar, xT 0.35PerssonSamuel Asoma: 118 passningar, xT 0.01AsomaDaouda Amadou: 117 passningar, xT 0.2AmadouLukas Kjellnäs: 111 passningar, xT 0.64KjellnäsLoret Sadiku: 91 passningar, xT 0.22SadikuJulian Larsson: 77 passningar, xT 0.37LarssonErik Lindell: 75 passningar, xT 0.25LindellAdam Akimey: 59 passningar, xT 0.43Akimey
    Norrby
    Vidar Svendsén: 251 passningar, xT 0.37SvendsénTure Spendler: 183 passningar, xT 1.34SpendlerJoel Hjalmar: 180 passningar, xT 0.72HjalmarCharlie Axede: 166 passningar, xT 0.68AxedeJohannes Engvall: 142 passningar, xT 0.37EngvallSebastian Banozic: 117 passningar, xT 0.33BanozicOlle Backlund: 114 passningar, xT 0.97BacklundJulius Johansson: 110 passningar, xT 0.23JohanssonAzeez Temitope Yusuf: 72 passningar, xT -0.02YusufJamie Bichis: 54 passningar, xT 0.43BichisKevin Liimatainen: 42 passningar, xT -0.01Liimatainen
    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.

    Helsingborgs IF
    Obafemi Awodesu: 259 passningar, xT 0.17AwodesuDemba N'Diaye: 227 passningar, xT 0.37N'DiayeSimon Bengtsson: 221 passningar, xT 0.27BengtssonJakob Voelkerling Persson: 204 passningar, xT 0.35PerssonSamuel Asoma: 118 passningar, xT 0.01AsomaDaouda Amadou: 117 passningar, xT 0.2AmadouLukas Kjellnäs: 111 passningar, xT 0.64KjellnäsLoret Sadiku: 91 passningar, xT 0.22SadikuJulian Larsson: 77 passningar, xT 0.37LarssonErik Lindell: 75 passningar, xT 0.25LindellAdam Akimey: 59 passningar, xT 0.43Akimey
    Norrby
    Vidar Svendsén: 251 passningar, xT 0.37SvendsénTure Spendler: 183 passningar, xT 1.34SpendlerJoel Hjalmar: 180 passningar, xT 0.72HjalmarCharlie Axede: 166 passningar, xT 0.68AxedeJohannes Engvall: 142 passningar, xT 0.37EngvallSebastian Banozic: 117 passningar, xT 0.33BanozicOlle Backlund: 114 passningar, xT 0.97BacklundJulius Johansson: 110 passningar, xT 0.23JohanssonAzeez Temitope Yusuf: 72 passningar, xT -0.02YusufJamie Bichis: 54 passningar, xT 0.43BichisKevin Liimatainen: 42 passningar, xT -0.01Liimatainen

    The teams in numbers

    PerformanceHelsingborgs IFNorrby
    Points2923
    xPoints25.337.1
    xG per match1.11.4
    xGA per match1.51.5
    xG within 8s of winning the ball0.250.29
    xGA within 8s of losing the ball0.240.25
    Playing styleHelsingborgs IFNorrby
    Build-up efficiency0.330.35
    Field tilt0.530.37
    xT per match1.61.3
    xTA per match1.41.7
    Won balls, offensive half3331
    Pressing intensity0.540.54
    Pressing efficiency0.280.25
    Pressing efficiency, offensive half0.290.25
    Entries into the box per match1412
    Entries into the box against1317
    Pass completion %0.790.73
    Pass completion % under pressure0.740.67
    Passes per match414295
    Passes against per match356455
    Switches of play per match13.619.4
    Long balls per match2732
    Set piecesHelsingborgs IFNorrby
    xG from free kicks0.070.14
    Corners per match5.25.1
    Corners against per match4.75.9
    xG per corner0.030.03
    xGA per corner against0.050.03
    First touch, offensive corners %0.330.32
    First touch, defensive corners %0.530.49
    OtherHelsingborgs IFNorrby
    Throw-in control0.550.44
    The goalkeepersJohan Brattberg (Helsingborgs IF)Sebastian Banozic (Norrby)
    Saves7876
    Save %68%69%
    xG prevented45%51%
    Claims148 (93%)154 (93%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Helsingborgs IF vs Norrby according to our model?

    The model gives Helsingborgs IF a 39% win probability. Full 1X2 picture: Helsingborgs IF 39%, draw 24%, Norrby 37%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 63% and under at 37%.

    Will both teams score?

    The probability of both teams scoring is 64% 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.