Danish SuperligaCepheus Park, Randers20°21 km/h

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    RandersRandersBalanced & physical
    vs
    LyngbyLyngbyCounter-attacks & crosses
    The model's lean: 1 · Randers (43%)Best value by the model: 2 · Lyngby @ 3.08 (+3 %)

    RandersLyngby · Danish Superliga

    1 · Randers 43%X 24%33% Lyngby · 2

    Analysis: RandersLyngby

    Anna Karlsson · · How the predictions work

    In the tight arena of the Danish Superliga, Randers and Lyngby Boldklub face off in a matchup where the numbers tell a compelling story. Randers has the edge according to the model with a 43% win probability, but it's the away side, Lyngby Boldklub, who boast a better xG profile since 2022, suggesting they might be undervalued in this clash. Despite the small head-to-head sample of just two games that ended in draws, Lyngby Boldklub's expected goals and points indicate an edge, particularly in their ability to create scoring chances quickly after winning possession.

    Randers is a team defined by its balanced and physical approach, yet they will be wary of Lyngby Boldklub's prowess on the counter and proficiency in delivering dangerous crosses. While the model's most likely scoreline is a tight 1-1 draw (12%), the expected goals differential is razor thin: 1.46 for Randers against 1.40 for Lyngby Boldklub. It's a match where subtle nuances could tilt the scales, such as Randers' higher expected goals against (xGA) at 1.7, which suggests defensive vulnerabilities that the visitors could exploit.

    Over the last year, Lyngby Boldklub has shown a knack for creating high-quality chances, evidenced by their superior xG per match (2.8) compared to Randers' 0.58. The expected goals within 8 seconds of winning the ball (0.85 for Lyngby against 0.08 for Randers) further underpins their threat on the break. This quality, coupled with a match probability slanting in their favour at odds of 3.26 with Pinnacle, offers a tantalising value bet for those who see through the statistical lens.

    A 2-1 result either way falls within the realm of possibility, yet the lingering question is whether Randers can withstand Lyngby Boldklub's incisive counter-attacking style. With a 54% chance of over 2.5 goals and both teams likely to get on the scoresheet (58%), bettors might find an enticing proposition in favouring Lyngby Boldklub to edge a closely contested encounter. Ending on the sharpest note, the value lies with the away side, making that Pinnacle price worth a roll of the dice.

    RandersRanders
    Form WDLDL
    League ranking xG #12xGA #8xT #10xP/match #10Points #10
    Key players
    • Mohamed Ortaim SankohFxG 0.06 · xT -0.14
    • Mike ThemsenCAMxG 0.09 · xT 0.05
    • Wessel DammersCBxG 0.00 · xT 0.07
    LyngbyLyngby
    Form LLWLD
    League ranking xG #2xGA #5xT #2xP/match #1Points #8
    Key players
    • Simon Willem ColynLWxG 0.31 · xT 0.40
    • Ísak Snær ÞorvaldssonFxG 0.88 · xT 0.04
    • Lauge Wesenberg SandgravCMxG 0.02 · xT 0.15

    Match prediction: RandersLyngby

    Predicted score matrix

    Lyngby
    Randers
    0
    1
    2
    3
    4+
    0
    0–06.1%
    0–17.7%
    0–25.6%
    0–32.6%
    0–4+1.2%
    1
    1–08.1%
    1–112.0%
    1–28.2%
    1–33.8%
    1–4+1.8%
    2
    2–06.1%
    2–18.6%
    2–26.0%
    2–32.8%
    2–4+1.3%
    3
    3–03.0%
    3–14.2%
    3–22.9%
    3–31.4%
    3–4+0.6%
    4+
    4+–01.5%
    4+–12.1%
    4+–21.5%
    4+–30.7%
    4+–4+0.3%
    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. 4.1-08%
    5. 5.0-18%
    Expected goals
    1,461,40
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,546%
    @2.10
    Over 2,554%
    @1.76

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Double chance Randers or draw (1X)64%
    • Over 1.5 goals78%

    Combined probability

    50%

    Fair odds

    1.99

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

    02 · 3 legs

    Balanced

    • Double chance Randers or draw (1X)64%
    • Over 2.5 goals54%
    • Mathias Peter Greve Petersen to score25%

    Combined probability

    8%

    Fair odds

    12.71

    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 score58%
    • Over 2.5 goals54%
    • Mathias Peter Greve Petersen to score25%
    • Lauge Wesenberg Sandgrav to be booked21%

    Combined probability

    2%

    Fair odds

    42.18

    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 · Lyngby33% probability@3.08PinnacleEV+3%
    Bookmaker1 · RandersX2 · Lyngby
    Pinnacle2.243.68
    EV+ 3%
    3.08

    Odds updated 8 Aug, 15:52

    Odds movement

    Market signal

    The market has moved clearly towards an Lyngby win since 3 August — the odds have shortened from 3.36 to 3.08 (−8%).

    1+9 %
    47 %42 %

    2.062.24

    X0 %
    28 %23 %

    3.673.68

    2-8 %
    32 %27 %

    3.363.08

    Over 2,5-1 %
    56 %51 %

    1.781.76

    Pinnacle · 9 recorded price levels · 03/08/2026 → 08/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Randers 0Draw 2Lyngby 0
    Goals: 11 (⌀ 1)

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

    xG & xGA per match — 3-game rolling average

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

    Randers
    Lyngby
    When goals are scored and conceded 2026
    Randers (12)
    Lyngby (45)
    Pass networks

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

    Randers
    Wessel Dammers: 116 passningar, xT 0.11DammersDaniel Hoegh: 99 passningar, xT 0.15HoeghElies Mahmoud: 84 passningar, xT 0.24MahmoudJohn Bjorkengren: 79 passningar, xT -0.04BjorkengrenMike Themsen: 73 passningar, xT 0.06ThemsenLaurits Pedersen: 71 passningar, xT 0.05Pedersen Jannich Storch: 43 passningar, xT 0.07StorchLucas Lissens: 37 passningar, xT -0.02LissensMathias Greve: 34 passningar, xT 0.02GreveMartin André Sjølstad: 32 passningar, xT 0.29SjølstadMohamed Ortaim Sankoh: 25 passningar, xT -0.23Sankoh
    Lyngby
    Casper Kaarsbo Winther: 87 passningar, xT 0.5WintherLauge Wesenberg Sandgrav: 86 passningar, xT 0.18SandgravMikkel Rosleff Fischer: 80 passningar, xT -0.11FischerDavíð Helgi Aronsson: 77 passningar, xT 0.14AronssonRenzo Tytens: 70 passningar, xT 0.35TytensGustav Leone Fraulo: 56 passningar, xT 0.51FrauloSimon Willem Colyn: 55 passningar, xT 0.71ColynOskar Buur Rasmussen: 41 passningar, xT 0.17RasmussenDiego Kochen: 34 passningar, xT 0.06KochenCornelius Allen: 27 passningar, xT 0.03AllenAsbjørn Johnsen Bøndergaard: 15 passningar, xT 0Bøndergaard
    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.

    Randers
    Wessel Dammers: 116 passningar, xT 0.11DammersDaniel Hoegh: 99 passningar, xT 0.15HoeghElies Mahmoud: 84 passningar, xT 0.24MahmoudJohn Bjorkengren: 79 passningar, xT -0.04BjorkengrenMike Themsen: 73 passningar, xT 0.06ThemsenLaurits Pedersen: 71 passningar, xT 0.05Pedersen Jannich Storch: 43 passningar, xT 0.07StorchLucas Lissens: 37 passningar, xT -0.02LissensMathias Greve: 34 passningar, xT 0.02GreveMartin André Sjølstad: 32 passningar, xT 0.29SjølstadMohamed Ortaim Sankoh: 25 passningar, xT -0.23Sankoh
    Lyngby
    Casper Kaarsbo Winther: 87 passningar, xT 0.5WintherLauge Wesenberg Sandgrav: 86 passningar, xT 0.18SandgravMikkel Rosleff Fischer: 80 passningar, xT -0.11FischerDavíð Helgi Aronsson: 77 passningar, xT 0.14AronssonRenzo Tytens: 70 passningar, xT 0.35TytensGustav Leone Fraulo: 56 passningar, xT 0.51FrauloSimon Willem Colyn: 55 passningar, xT 0.71ColynOskar Buur Rasmussen: 41 passningar, xT 0.17RasmussenDiego Kochen: 34 passningar, xT 0.06KochenCornelius Allen: 27 passningar, xT 0.03AllenAsbjørn Johnsen Bøndergaard: 15 passningar, xT 0Bøndergaard

    The teams in numbers

    PerformanceRandersLyngby
    Points11
    xPoints1.94.1
    xG per match0.582.8
    xGA per match1.71.1
    xG within 8s of winning the ball0.080.85
    xGA within 8s of losing the ball0.350.27
    Playing styleRandersLyngby
    Build-up efficiency0.310.32
    Field tilt0.380.7
    xT per match0.611.6
    xTA per match1.30.68
    Won balls, offensive half2139
    Pressing intensity0.260.25
    Pressing efficiency0.230.37
    Pressing efficiency, offensive half0.30.39
    Entries into the box per match619
    Entries into the box against227
    Pass completion %0.780.71
    Pass completion % under pressure0.750.69
    Passes per match381326
    Passes against per match602303
    Switches of play per match15.712.4
    Long balls per match2325
    Set piecesRandersLyngby
    xG from free kicks0.020.04
    Corners per match4.64.5
    Corners against per match9.13.5
    xG per corner0.010.06
    xGA per corner against0.020.02
    First touch, offensive corners %0.330.78
    First touch, defensive corners %0.560.57
    OtherRandersLyngby
    Throw-in control0.830.69
    The goalkeepers Jannich Storch (Randers)Diego Kochen (Lyngby)
    Saves94
    Save %82%44%
    xG prevented49%19%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Randers vs Lyngby according to our model?

    The model gives Randers a 43% win probability. Full 1X2 picture: Randers 43%, draw 24%, Lyngby 33%.

    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 54% and under at 46%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.