Danish SuperligaEnergi Viborg Arena, Viborg15°3,1 mm25 km/h

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    ViborgViborgCounter-attacks & crosses
    vs
    LyngbyLyngbyPossession & high press
    The model's lean: 1 · Viborg (44%)Best value by the model: 2 · Lyngby @ 4.15 (+24 %)

    ViborgLyngby · Danish Superliga

    1 · Viborg 44%X 26%30% Lyngby · 2

    Analysis: ViborgLyngby

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

    Viborg's knack for finding stability in recent weeks contrasts sharply with Lyngby Boldklub's struggles. Riding a three-match winning streak, the hosts have turned their form around with tactical discipline and a reliance on counter-attacking play. This has translated into an edge not just in form but also on the points table, where they sit comfortably with 13 points compared to Lyngby’s paltry 3.

    Despite Viborg's ascendancy, the expected goals tell a slightly different story. The hosts average 1.5 xG per match, falling short of Lyngby’s 2.0 xG, suggesting that the visitors are creating more offensive opportunities. Yet, Viborg's superior defensive metrics (1.1 xGA to Lyngby’s 1.2 xGA) might just tip the scales on a rainy evening forecasted to have over 15 mm of rain, conditions that could suppress scoring.

    Head-to-head encounters since 2022 offer a limited sample of four matches, though Viborg holds a small advantage with one win and three draws. However, this historical data weighs less than the current form and expected goals. The model heavily leans towards a 1-1 draw as the most probable scoreline, underscoring the match's potential to be tightly contested. The over 2.5 goals market is at 59%, signaling a slight anticipation of a higher-scoring affair, albeit dampened by weather conditions.

    For those seeking value, there is a significant edge on the market for Lyngby to snatch a win. Odds of 3.95 on Betsson, Nordicbet, and 3.9 on Betsafe offer an 18% and 17% edge respectively. While the model gives Lyngby a 30% chance of victory, this represents a rare spot where calculated risk aligns with potential reward.

    ViborgViborg
    Form LDWWW
    League ranking xG #6xGA #3xT #7xP/match #2Points #3
    Key players
    • Oliver BundgaardLWBxG 0.16 · xT 0.17
    • Charly NouckLWxG 0.29 · xT 0.17
    • Lukas Emil KirkegaardCBxG 0.06 · xT 0.15
    LyngbyLyngby
    Form DLDLD
    League ranking xG #2xGA #4xT #4xP/match #3Points #10
    Key players
    • Simon Willem ColynFxG 0.25 · xT 0.17
    • Ísak Snær ÞorvaldssonFxG 0.87 · xT 0.01
    • Casper Kaarsbo WintherCMxG 0.08 · xT 0.17

    Match prediction: ViborgLyngby

    Predicted score matrix

    Lyngby
    Viborg
    0
    1
    2
    3
    4+
    0
    0–05.0%
    0–16.6%
    0–25.2%
    0–32.6%
    0–4+1.3%
    1
    1–07.0%
    1–111.3%
    1–28.1%
    1–34.0%
    1–4+2.1%
    2
    2–05.8%
    2–18.6%
    2–26.4%
    2–33.2%
    2–4+1.6%
    3
    3–03.1%
    3–14.5%
    3–23.4%
    3–31.7%
    3–4+0.9%
    4+
    4+–01.7%
    4+–12.5%
    4+–21.9%
    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
    1,581,49
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,1
    Under 2,541%
    @2.48EV+2%
    Over 2,559%
    @1.55

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Viborg or draw (1X)64%
    • Over 1.5 goals81%

    Combined probability

    52%

    Fair odds

    1.91

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

    02 · 3 legs

    Balanced

    • Double chance Viborg or draw (1X)64%
    • Over 2.5 goals59%
    • Dorian Junior Hanza Meha to score27%

    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%
    • Dorian Junior Hanza Meha to score27%
    • Davíð Helgi Aronsson to be booked24%

    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 · Lyngby30% probability@4.15BetssonEV+24%reference odds
    • 2 · Lyngby30% probability@4.15NordicbetEV+24%reference odds
    • 2 · Lyngby30% probability@4.10BetsafeEV+23%reference odds
    Bookmaker1 · ViborgX2 · Lyngby
    Betsafe1.803.80
    EV+ 23%
    4.10
    Betsson1.82
    EV+ 0%
    3.85
    EV+ 24%
    4.15
    Nordicbet1.82
    EV+ 0%
    3.85
    EV+ 24%
    4.15
    Pinnacle1.81
    EV+ 6%
    4.08
    EV+ 20%
    4.02

    Odds updated 4 Sept, 05:37

    Odds movement

    Market signal

    The market has moved clearly towards a Viborg win since 31 August — the odds have shortened from 1.92 to 1.81 (−5%).

    1-5 %
    54 %49 %

    1.921.81

    X+3 %
    26 %21 %

    3.964.08

    2+14 %
    28 %23 %

    3.534.02

    Pinnacle · 13 recorded price levels · 31/08/2026 → 04/09/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Viborg 1Draw 3Lyngby 0
    Goals: 21 (⌀ 0,8)

    Head-to-head based on Danish Superliga data since 2022.

    Key facts

    • Viborg come into this round on 3 straight wins.
    xG & xGA per match — 3-game rolling average

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

    Viborg
    Lyngby
    When goals are scored and conceded 2026
    Viborg (104)
    Lyngby (711)
    Pass networks

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

    Viborg
    Zan Zaletel: 353 passningar, xT 0.45ZaletelLukas Emil Kirkegaard: 320 passningar, xT 0.68KirkegaardJeppe Gronning: 194 passningar, xT 0.23GronningKasper Hartly Kiilerich: 159 passningar, xT 0.12KiilerichOliver Bundgaard: 158 passningar, xT 0.88BundgaardSrdjan Kuzmic: 141 passningar, xT 0.21KuzmicSami Jalal: 94 passningar, xT 0.72JalalAsker Beck: 91 passningar, xT 0.1BeckThomas Jorgensen: 63 passningar, xT 0.05JorgensenMads Sondergaard: 62 passningar, xT 0.21SondergaardCharly Nouck: 47 passningar, xT 0.75Nouck
    Lyngby
    Lauge Wesenberg Sandgrav: 241 passningar, xT 0.55SandgravMikkel Rosleff Fischer: 239 passningar, xT 0.61FischerCasper Kaarsbo Winther: 239 passningar, xT 0.81WintherOskar Buur Rasmussen: 186 passningar, xT 0.91RasmussenGustav Leone Fraulo: 147 passningar, xT 1.42FrauloRenzo Tytens: 130 passningar, xT 0.26TytensSimon Willem Colyn: 118 passningar, xT 0.43ColynDiego Kochen: 99 passningar, xT 0.17KochenMunashe Garananga: 89 passningar, xT 0.1GaranangaDavíð Helgi Aronsson: 83 passningar, xT 0.18AronssonJens Jakob Dyhr Thomasen: 73 passningar, xT 0.41Thomasen
    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.

    Viborg
    Zan Zaletel: 353 passningar, xT 0.45ZaletelLukas Emil Kirkegaard: 320 passningar, xT 0.68KirkegaardJeppe Gronning: 194 passningar, xT 0.23GronningKasper Hartly Kiilerich: 159 passningar, xT 0.12KiilerichOliver Bundgaard: 158 passningar, xT 0.88BundgaardSrdjan Kuzmic: 141 passningar, xT 0.21KuzmicSami Jalal: 94 passningar, xT 0.72JalalAsker Beck: 91 passningar, xT 0.1BeckThomas Jorgensen: 63 passningar, xT 0.05JorgensenMads Sondergaard: 62 passningar, xT 0.21SondergaardCharly Nouck: 47 passningar, xT 0.75Nouck
    Lyngby
    Lauge Wesenberg Sandgrav: 241 passningar, xT 0.55SandgravMikkel Rosleff Fischer: 239 passningar, xT 0.61FischerCasper Kaarsbo Winther: 239 passningar, xT 0.81WintherOskar Buur Rasmussen: 186 passningar, xT 0.91RasmussenGustav Leone Fraulo: 147 passningar, xT 1.42FrauloRenzo Tytens: 130 passningar, xT 0.26TytensSimon Willem Colyn: 118 passningar, xT 0.43ColynDiego Kochen: 99 passningar, xT 0.17KochenMunashe Garananga: 89 passningar, xT 0.1GaranangaDavíð Helgi Aronsson: 83 passningar, xT 0.18AronssonJens Jakob Dyhr Thomasen: 73 passningar, xT 0.41Thomasen

    The teams in numbers

    PerformanceViborgLyngby
    Points133
    xPoints10.510.4
    xG per match1.52
    xGA per match1.11.2
    xG within 8s of winning the ball0.270.49
    xGA within 8s of losing the ball0.230.31
    Playing styleViborgLyngby
    Build-up efficiency0.310.32
    Field tilt0.380.7
    xT per match11.4
    xTA per match0.920.91
    Won balls, offensive half2339
    Pressing intensity0.240.23
    Pressing efficiency0.260.32
    Pressing efficiency, offensive half0.210.3
    Entries into the box per match1219
    Entries into the box against1213
    Pass completion %0.770.73
    Pass completion % under pressure0.710.71
    Passes per match353361
    Passes against per match414338
    Switches of play per match27.710.6
    Long balls per match3025
    Set piecesViborgLyngby
    xG from free kicks0.010.15
    Corners per match4.65.6
    Corners against per match6.83.8
    xG per corner0.020.02
    xGA per corner against0.020.02
    First touch, offensive corners %0.220.44
    First touch, defensive corners %0.680.65
    OtherViborgLyngby
    Throw-in control0.640.64
    The goalkeepersKasper Hartly Kiilerich (Viborg)Diego Kochen (Lyngby)
    Saves2117
    Save %84%61%
    xG prevented74%41%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Viborg vs Lyngby according to our model?

    The model gives Viborg a 44% win probability. Full 1X2 picture: Viborg 44%, draw 26%, Lyngby 30%.

    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.