Swedish SuperettanFalcon Alkoholfri Arena, Falkenberg22°19 km/h

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    FalkenbergFalkenbergPossession control
    vs
    NorrbyNorrbyCounter-attacks & crosses
    The model's lean: 1 · Falkenberg (47%)Best value by the model: 2 · Norrby @ 4.02 (+16 %)

    FalkenbergNorrby · Swedish Superettan

    1 · Falkenberg 47%X 24%29% Norrby · 2

    Analysis: FalkenbergNorrby

    Oscar Nilsson · · How the predictions work

    Eleven consecutive matches with a goal—this is the hallmark of Falkenbergs FF, a side well-versed in keeping the scoreboard ticking. Yet, facing Norrby IF, a team currently unbeaten in five league encounters, they meet a gritty opponent. Falkenbergs FF may hold the upper hand in the points table, but the expected goals data tells a more nuanced story. Both teams average 1.3 xG per match, but Falkenbergs have been slightly more defensively robust, with an xGA of 1.3 compared to Norrby's 1.5.

    Falkenbergs FF's style of possession control will clash with Norrby's penchant for counter-attacks and crosses. This tactical tension suggests a game of ebb and flow, where both sides are likely to find the back of the net, as reflected by the 61% probability of both teams scoring. Historical head-to-head offers little insight, with only one match ending in a draw; thus, it holds less weight than the current form and metrics.

    Norrby IF may sit behind in the standings but possess an edge in xPoints, standing at 25.6 compared to Falkenbergs' 24.2. Yet, despite these metrics, the model leans towards a Falkenbergs win with a 47% probability. The scorelines of 1-1 and 2-1 appear most likely, with a slight tilt towards a 2-1 outcome, given Falkenbergs' scoring streak and home advantage.

    For those with a betting mindset, the sharpest angle lies in Norrby IF's value as an underdog. At odds of 4.02 with Betsafe, Betsson, and Nordicbet, there's a notable 16% edge based on the model's 29% probability of an away win. While not a guarantee, this is a compelling value play for those willing to back Norrby's resilience on the road.

    FalkenbergFalkenberg
    Form WLWLD
    League ranking xG #12xGA #9xT #14xP/match #9Points #3
    Key players
    • Hampus KällströmFxG 0.38 · xT 0.17
    • Linus BorgströmRWBxG 0.08 · xT 0.19
    • Albin AnderssonFxG 0.42 · xT 0.06
    NorrbyNorrby
    Form DWWDD
    League ranking xG #10xGA #14xT #12xP/match #5Points #13
    Key players
    • Julius JohanssonFxG 0.19 · xT 0.14
    • Azeez Temitope YusufFxG 0.30 · xT 0.00
    • Olle BacklundRWxG 0.07 · xT 0.19

    Match prediction: FalkenbergNorrby

    Predicted score matrix

    Norrby
    Falkenberg
    0
    1
    2
    3
    4+
    0
    0–04.9%
    0–15.8%
    0–24.0%
    0–31.8%
    0–4+0.8%
    1
    1–07.7%
    1–110.9%
    1–27.1%
    1–33.1%
    1–4+1.4%
    2
    2–07.1%
    2–19.4%
    2–26.2%
    2–32.8%
    2–4+1.2%
    3
    3–04.1%
    3–15.5%
    3–23.7%
    3–31.6%
    3–4+0.7%
    4+
    4+–02.7%
    4+–13.6%
    4+–22.4%
    4+–31.1%
    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. 3.1-08%
    4. 4.1-27%
    5. 5.2-07%
    Expected goals
    1,761,33
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @2.22
    Over 2,560%
    @1.60

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Falkenberg to win47%
    • Over 1.5 goals82%

    Combined probability

    40%

    Fair odds

    2.53

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

    02 · 3 legs

    Balanced

    • Falkenberg to win47%
    • Over 2.5 goals60%
    • Hugo Faya Gérard Yaya Komano to score29%

    Combined probability

    9%

    Fair odds

    10.74

    Result and goals are priced jointly from the matrix; the scorer is the model's most likely in the picked side.

    03 · 4 legs

    Bold

    • Both teams to score61%
    • Over 2.5 goals60%
    • Hugo Faya Gérard Yaya Komano to score29%
    • Filip Gustafsson to be booked23%

    Combined probability

    3%

    Fair odds

    30.31

    The goal-fest: both teams score with at least three goals — combined with the match's most likely scorer and card candidate.

    Odds & value

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 2 · Norrby29% probability@4.02BetsafeEV+16%
    • 2 · Norrby29% probability@4.02BetssonEV+16%
    • 2 · Norrby29% probability@4.02NordicbetEV+16%
    Bookmaker1 · FalkenbergX2 · Norrby
    Betfair Exchange1.131.091.10
    Betsafe1.833.82
    EV+ 16%
    4.02
    Betsson1.833.82
    EV+ 16%
    4.02
    Nordicbet1.833.82
    EV+ 16%
    4.02
    Pinnacle1.813.94
    EV+ 10%
    3.82

    Odds updated 12 Aug, 09:35

    Odds movement

    1+2 %
    55 %50 %

    1.771.81

    X-1 %
    26 %21 %

    3.993.94

    2-3 %
    27 %22 %

    3.953.82

    Pinnacle · 2 recorded price levels · 11/08/2026 → 12/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    1 matches
    Falkenberg 0Draw 1Norrby 0
    Goals: 22 (⌀ 4)

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

    Key facts

    • Falkenbergs FF have scored in 11 consecutive league matches.
    • Norrby IF are unbeaten in their last 5 league matches.
    xG & xGA per match — 3-game rolling average

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

    Falkenberg
    Norrby
    When goals are scored and conceded 2026
    Falkenberg (3427)
    Norrby (2123)
    Pass networks

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

    Falkenberg
    Tim Stålheden: 288 passningar, xT 0.78StålhedenAlexander Salo: 233 passningar, xT 0.21SaloMelker Nilsson: 224 passningar, xT 0.24NilssonLinus Borgström: 216 passningar, xT 0.47BorgströmNils Bertilsson: 214 passningar, xT 0.47BertilssonNoel Hansson: 193 passningar, xT 0.32HanssonWanbe Godwin Aguda: 175 passningar, xT 0.19AgudaElias Mohammad: 114 passningar, xT 1.22MohammadOskar Lindberg: 103 passningar, xT 0.77LindbergAnton Andersson: 76 passningar, xT 0.14AnderssonLassina Sangare: 73 passningar, xT 0Sangare
    Norrby
    Joel Hjalmar: 232 passningar, xT 0.81HjalmarVidar Svendsén: 221 passningar, xT 0.7SvendsénTure Spendler: 211 passningar, xT 1.53SpendlerCharlie Axede: 145 passningar, xT -0.06AxedeJulius Johansson: 113 passningar, xT 0.59JohanssonAldin Nedzibovic: 110 passningar, xT 0.33NedzibovicSebastian Banozic: 90 passningar, xT 0.43BanozicJohannes Engvall: 88 passningar, xT 0.07EngvallOlle Backlund: 80 passningar, xT 0.83BacklundJamie Bichis: 67 passningar, xT 0.16BichisKevin Liimatainen: 57 passningar, xT 0.16Liimatainen
    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.

    Falkenberg
    Tim Stålheden: 288 passningar, xT 0.78StålhedenAlexander Salo: 233 passningar, xT 0.21SaloMelker Nilsson: 224 passningar, xT 0.24NilssonLinus Borgström: 216 passningar, xT 0.47BorgströmNils Bertilsson: 214 passningar, xT 0.47BertilssonNoel Hansson: 193 passningar, xT 0.32HanssonWanbe Godwin Aguda: 175 passningar, xT 0.19AgudaElias Mohammad: 114 passningar, xT 1.22MohammadOskar Lindberg: 103 passningar, xT 0.77LindbergAnton Andersson: 76 passningar, xT 0.14AnderssonLassina Sangare: 73 passningar, xT 0Sangare
    Norrby
    Joel Hjalmar: 232 passningar, xT 0.81HjalmarVidar Svendsén: 221 passningar, xT 0.7SvendsénTure Spendler: 211 passningar, xT 1.53SpendlerCharlie Axede: 145 passningar, xT -0.06AxedeJulius Johansson: 113 passningar, xT 0.59JohanssonAldin Nedzibovic: 110 passningar, xT 0.33NedzibovicSebastian Banozic: 90 passningar, xT 0.43BanozicJohannes Engvall: 88 passningar, xT 0.07EngvallOlle Backlund: 80 passningar, xT 0.83BacklundJamie Bichis: 67 passningar, xT 0.16BichisKevin Liimatainen: 57 passningar, xT 0.16Liimatainen

    The teams in numbers

    PerformanceFalkenbergNorrby
    Points3219
    xPoints24.225.6
    xG per match1.31.3
    xGA per match1.31.5
    xG within 8s of winning the ball0.20.25
    xGA within 8s of losing the ball0.280.23
    Playing styleFalkenbergNorrby
    Build-up efficiency0.320.35
    Field tilt0.40.35
    xT per match1.31.3
    xTA per match1.41.7
    Won balls, offensive half2628
    Pressing intensity0.560.55
    Pressing efficiency0.270.25
    Pressing efficiency, offensive half0.280.25
    Entries into the box per match1212
    Entries into the box against1418
    Pass completion %0.790.73
    Pass completion % under pressure0.720.67
    Passes per match389287
    Passes against per match391461
    Switches of play per match18.819.4
    Long balls per match3431
    Set piecesFalkenbergNorrby
    xG from free kicks0.080.14
    Corners per match4.14.7
    Corners against per match4.75.1
    xG per corner0.030.04
    xGA per corner against0.030.03
    First touch, offensive corners %0.420.33
    First touch, defensive corners %0.510.43
    OtherFalkenbergNorrby
    Throw-in control0.540.42
    The goalkeepersAnton Andersson (Falkenberg)Sebastian Banozic (Norrby)
    Saves2847
    Save %62%67%
    xG prevented42%49%
    Claims87 (98%)100 (94%)

    Frequently asked questions

    Who wins Falkenberg vs Norrby according to our model?

    The model gives Falkenberg a 47% win probability. Full 1X2 picture: Falkenberg 47%, draw 24%, Norrby 29%.

    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 60% and under at 40%.

    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.