Danish SuperligaLyngby Stadion, Kongens Lyngby

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    LyngbyLyngbyPossession & high press
    vs
    RandersRandersLow block & direct
    The model's lean: 1 · Lyngby (48%)Best value by the model: X · Draw @ 3.80 (+1 %)

    Lyngby vs Randers · Danish Superliga

    1 · Lyngby 48%X 27%25% Randers · 2

    Prediction summary

    BetBuilders AI model prediction for Lyngby vs Randers (Danish Superliga, Friday, 30 October 2026): Lyngby win 48%, draw 27%, Randers win 25%. Expected goals (xG): Lyngby 1.66, Randers 1.21. Most likely score: 1-1 (12%). Over 2.5 goals 55%, both teams to score 57%. Double chance: Lyngby or draw 75%, Randers or draw 52%. Prediction updated Friday, 23 October 2026.

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    Analysis: Lyngby – Randers

    Anna Karlsson · · A data-driven preview · How the predictions work

    A telling number here is Lyngby Boldklub's 48% chance of winning, clearly positioning them as favorites. Despite trailing Randers by three points in the league, the hosts have a clear edge in expected goals: 1.66 to 1.21. This suggests that Lyngby's possession-driven, high-pressing approach may be more effective than Randers' low defensive setup and reliance on direct play. With both teams expected to score and a slight lean towards more than 2.5 goals, this match-up hints at a potentially lively contest, despite Lyngby’s winless head-to-head record against Randers since 2022.

    The expected goals data further strengthens Lyngby's case. Their xG of 1.7 per match, compared to Randers' 1.1, underscores a more potent attacking threat, while their xGA of 1.4 suggests a slightly tighter defense than Randers, who concede an average of 1.5 xGA. This defensive discrepancy could play a pivotal role, especially as the model's most likely scorelines hover around the narrow margins of 1-1 and 2-1.

    An analysis of the betting markets reveals a potential value spot: Lyngby to win outright at 48% probability. Given the model's lean and the underlying xG numbers, backing the hosts at odds reflecting this probability might offer positive expected value for shrewd punters.

    LyngbyLyngby
    Form WDLLD
    League ranking xG #3xGA #6xT #5xP/match #4Points #12
    Key players
    • Casper WintherCDMxG 0.08 · xT 0.16
    • Gustav FrauloRWxG 0.13 · xT 0.21
    • Lauge SandgravCMxG 0.07 · xT 0.16
    RandersRanders
    Form WLLLD
    League ranking xG #10xGA #8xT #10xP/match #8Points #9
    Key players
    • Mike ThemsenRWxG 0.17 · xT 0.12
    • Elies MahmoudRWxG 0.14 · xT 0.13
    • Laurits PedersenCMxG 0.07 · xT 0.04

    Match prediction: Lyngby – Randers

    Predicted score matrix

    Randers →
    Lyngby →
    0
    1
    2
    3
    4+
    0
    0–06.1%
    0–16.6%
    0–24.2%
    0–31.7%
    0–4+0.7%
    1
    1–09.1%
    1–111.7%
    1–26.9%
    1–32.8%
    1–4+1.1%
    2
    2–07.8%
    2–19.5%
    2–25.7%
    2–32.3%
    2–4+0.9%
    3
    3–04.3%
    3–15.2%
    3–23.1%
    3–31.3%
    3–4+0.5%
    4+
    4+–02.6%
    4+–13.1%
    4+–21.9%
    4+–30.8%
    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. 3.1-09%
    4. 4.2-08%
    5. 5.1-27%
    Expected goals
    1,66–1,21
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    –
    Over 2,555%
    –

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Lyngby to win48%
    • Over 1.5 goals78%

    Combined probability

    38%

    Fair odds

    2.61

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

    02 · 3 legs

    Balanced

    • Lyngby to win48%
    • Over 2.5 goals55%
    • Ísak Snær Þorvaldsson to score22%

    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 score57%
    • Over 2.5 goals55%
    • Ísak Snær Þorvaldsson to score22%
    • Mathias Peter Greve Petersen to be booked21%

    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+).

    • X · Draw27% probability@3.80LeoVegasEV+1%reference odds
    • 1 · Lyngby48% probability@2.10LeoVegasEV+1%reference odds
    Bookmaker1 · LyngbyX2 · Randers
    LeoVegas
    EV+ 1%
    2.10
    EV+ 1%
    3.80
    3.10

    Odds updated 23 Oct, 20:37

    Statistics

    Head-to-head

    3 matches
    Lyngby 0Draw 2Randers 1
    Goals: 1–3 (⌀ 1,3)

    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).

    Lyngby
    Randers
    When goals are scored and conceded — 2026
    Lyngby (15–24)
    Randers (11–16)
    Pass networks

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

    Lyngby
    Lauge Sandgrav: 250 passningar, xT 0.72SandgravMunashe Garananga: 224 passningar, xT 0.22GaranangaMikkel Fischer: 214 passningar, xT 0.41FischerJens Jakob Thomasen: 188 passningar, xT 0.19ThomasenRenzo Tytens: 157 passningar, xT 0.16TytensOskar Buur: 143 passningar, xT 0.41BuurGustav Fraulo: 134 passningar, xT 0.16FrauloDiego Kochen: 129 passningar, xT 0.19KochenDavíð Helgi Aronsson: 102 passningar, xT 0.22AronssonSimon Willem Colyn: 92 passningar, xT 0.26ColynÍsak Snær Þorvaldsson: 66 passningar, xT -0.05Þorvaldsson
    Randers
    Daniel Hoegh: 271 passningar, xT 0.64HoeghNikolai Hopland: 201 passningar, xT 0.32HoplandMathias Greve: 193 passningar, xT 0.22GreveSabil Hansen: 177 passningar, xT 0.29HansenLaurits Pedersen: 151 passningar, xT 0.25PedersenPaul Izzo: 132 passningar, xT 0.14IzzoNikolas Dyhr: 118 passningar, xT 0.47DyhrMike Themsen: 99 passningar, xT 0.76ThemsenElies Mahmoud: 88 passningar, xT 0.49MahmoudMartin André Sjølstad: 58 passningar, xT 0.41SjølstadSimon Stuker: 58 passningar, xT 0.44Stuker
    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.

    Lyngby
    Lauge Sandgrav: 250 passningar, xT 0.72SandgravMunashe Garananga: 224 passningar, xT 0.22GaranangaMikkel Fischer: 214 passningar, xT 0.41FischerJens Jakob Thomasen: 188 passningar, xT 0.19ThomasenRenzo Tytens: 157 passningar, xT 0.16TytensOskar Buur: 143 passningar, xT 0.41BuurGustav Fraulo: 134 passningar, xT 0.16FrauloDiego Kochen: 129 passningar, xT 0.19KochenDavíð Helgi Aronsson: 102 passningar, xT 0.22AronssonSimon Willem Colyn: 92 passningar, xT 0.26ColynÍsak Snær Þorvaldsson: 66 passningar, xT -0.05Þorvaldsson
    Randers
    Daniel Hoegh: 271 passningar, xT 0.64HoeghNikolai Hopland: 201 passningar, xT 0.32HoplandMathias Greve: 193 passningar, xT 0.22GreveSabil Hansen: 177 passningar, xT 0.29HansenLaurits Pedersen: 151 passningar, xT 0.25PedersenPaul Izzo: 132 passningar, xT 0.14IzzoNikolas Dyhr: 118 passningar, xT 0.47DyhrMike Themsen: 99 passningar, xT 0.76ThemsenElies Mahmoud: 88 passningar, xT 0.49MahmoudMartin André Sjølstad: 58 passningar, xT 0.41SjølstadSimon Stuker: 58 passningar, xT 0.44Stuker

    The teams in numbers

    PerformanceLyngbyRanders
    Points811
    xPoints16.314.1
    xG per match1.71.1
    xGA per match1.41.5
    xG within 8s of winning the ball0.380.15
    xGA within 8s of losing the ball0.260.32
    Playing styleLyngbyRanders
    Build-up efficiency0.320.31
    Field tilt0.650.39
    xT per match1.20.85
    xTA per match1.11.3
    Won balls, offensive half3424
    Pressing intensity0.230.25
    Pressing efficiency0.290.28
    Pressing efficiency, offensive half0.250.21
    Entries into the box per match1611
    Entries into the box against1516
    Pass completion %0.750.75
    Pass completion % under pressure0.710.69
    Passes per match365344
    Passes against per match378458
    Switches of play per match12.223.6
    Long balls per match2430
    Set piecesLyngbyRanders
    xG from free kicks0.170.03
    Corners per match5.14.3
    Corners against per match4.77.4
    xG per corner0.020.03
    xGA per corner against0.020.02
    First touch, offensive corners %0.420.43
    First touch, defensive corners %0.670.72
    OtherLyngbyRanders
    Throw-in control0.660.72
    The goalkeepersDiego Kochen (Lyngby)Paul Izzo (Randers)
    Saves3024
    Save %56%73%
    xG prevented47%52%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Lyngby vs Randers according to our model?

    The model gives Lyngby a 48% win probability. Full 1X2 picture: Lyngby 48%, draw 27%, Randers 25%.

    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 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 57% according to the model.

    How many goals are expected in Lyngby vs Randers?

    The model expects 1.66 goals (xG) for Lyngby and 1.21 for Randers, 2.86 in total.

    What does the model say about double chance?

    Lyngby or draw (1X) 75%, Randers or draw (X2) 52% and no draw (12) 73%.

    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.