Danish SuperligaBrøndby Stadion, Brøndby10°0,3 mm13 km/h

    Läs på svenska
    BrøndbyBrøndbyPossession & high press
    vs
    LyngbyLyngbyPossession & high press
    The model's lean: 1 · Brøndby (52%)Best value by the model: 2 · Lyngby @ 4.50 (+15 %)

    Brøndby vs Lyngby · Danish Superliga

    1 · Brøndby 52%X 22%26% Lyngby · 2

    Bet on this match

    NordicbetVälkommen in i matchen! Skapa ett konto, gör en insättning och hämta ett gratisspel värt 100 kr plus 50 freespins på Pirots 4.Claim the bonus at Nordicbet
    BetsafeHämta ett 100 kr gratisspel + 50 freespins på Pirots 4 när du gör din första insättning hos Betsafe!Claim the bonus at Betsafe
    LeoVegas100 % upp till 600 kr på sport vid första insättningenClaim the bonus at LeoVegas

    18+ · Gamble responsibly · stodlinjen.se · Affiliate links

    Analysis: Brøndby – Lyngby

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

    FAKTA-sjekk: Teksten inneholder én faktafeil. Modellens mest sannsynlige målresultater (1-1, 2-1, 1-0) er fra Brøndbys perspektiv (hjemmelag først), så "2-1" betyr Brøndby-seier, ikke Lyngby-seier. Å si at Lyngby "stjeler en snever 2-1-seier" er derfor feil tilskrevet resultat.

    KORRIGERT TEKST:

    Brøndby might be looking towards Nicolai Vallys to spark some creativity, but his efforts might fall short if the recent trend continues. The hosts have been struggling, with four consecutive losses, which must weigh heavily on their minds. Despite a historical advantage against Lyngby, where Brøndby secured two wins in six meetings since 2022, their current form is shaky.

    The game is projected to be closely contested, with the most likely scorelines being 1-1 and 2-1. The high-scoring nature of past encounters, averaging 3.3 goals per match, might hint at an open game. However, the current form of both teams suggests otherwise. Brøndby is finding it particularly challenging to convert their high press into effective defense, conceding more than they score. Meanwhile, Lyngby has an edge in expected goals metrics, generating 1.7 xG per match compared to Brøndby’s 1.3, suggesting they might capitalize on any defensive lapses.

    While Brøndby has the historical edge, Lyngby’s possession game and tighter defense could frustrate the hosts. Despite being underdogs with only a 26% win probability, Lyngby’s odds at 4.2 with LeoVegas present an appealing value play. Their xPoints of 14.4 reflect a team that could easily disrupt the hosts' ambitions.

    For those backing goals, the over 2.5 goals market is favored at 58%, yet caution is advised given the hosts' recent struggles. The defensive vulnerabilities on both sides suggest that both teams scoring is a likely outcome, forecasted at 60%. As the game unfolds, look for Lyngby to edge this encounter, possibly stealing a narrow victory, which would turn the value at 4.2 into a profitable proposition.

    BrøndbyBrøndby
    Form WLLLL
    League ranking xG #8xGA #7xT #3xP/match #11Points #5
    Key players
    • Marko DivkovicLWBxG 0.03 · xT 0.18
    • Luis BinksCBxG 0.10 · xT 0.09
    • Bartosz Piotr SliszCMxG 0.06 · xT 0.12
    LyngbyLyngby
    Form LDWDL
    League ranking xG #2xGA #4xT #5xP/match #3Points #10
    Key players
    • Simon Willem ColynFxG 0.31 · xT 0.15
    • Ísak Snær ÞorvaldssonFxG 0.69 · xT 0.02
    • Casper WintherCDMxG 0.08 · xT 0.16

    Match prediction: Brøndby – Lyngby

    Predicted score matrix

    Lyngby →
    Brøndby →
    0
    1
    2
    3
    4+
    0
    0–05.3%
    0–16.3%
    0–24.5%
    0–32.0%
    0–4+0.9%
    1
    1–08.0%
    1–111.4%
    1–27.4%
    1–33.3%
    1–4+1.5%
    2
    2–06.9%
    2–19.2%
    2–26.2%
    2–32.7%
    2–4+1.2%
    3
    3–03.8%
    3–15.1%
    3–23.4%
    3–31.5%
    3–4+0.7%
    4+
    4+–02.3%
    4+–13.1%
    4+–22.1%
    4+–30.9%
    4+–4+0.4%
    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
    1,66–1,34
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,0
    Under 2,542%
    @2.32
    Over 2,558%
    @1.58

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Brøndby to win52%
    • Over 1.5 goals80%

    Combined probability

    37%

    Fair odds

    2.72

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

    02 · 3 legs

    Balanced

    • Brøndby to win52%
    • Over 2.5 goals58%
    • Max Isaac Ejdum to score28%

    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 score60%
    • Over 2.5 goals58%
    • Max Isaac Ejdum to score28%
    • Casper Kaarsbo Winther 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 · Lyngby26% probability@4.50NordicbetEV+15%reference odds
    • 2 · Lyngby26% probability@4.40BetsafeEV+13%reference odds
    • 2 · Lyngby26% probability@4.20LeoVegasEV+7%reference odds
    Bookmaker1 · BrøndbyX2 · Lyngby
    Betsafe1.723.85
    EV+ 13%
    4.40
    LeoVegas1.754.00
    EV+ 7%
    4.20
    Nordicbet1.753.90
    EV+ 15%
    4.50

    Odds updated 3 Oct, 07:36

    Statistics

    Head-to-head

    6 matches
    Brøndby 2Draw 3Lyngby 1
    Goals: 12–8 (⌀ 3,3)

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

    Key facts

    • Brøndby IF dominate this fixture historically: 2 wins to 1 in 6 meetings.
    • A high-scoring fixture: 3.3 goals per meeting on average.
    • Brøndby IF have lost 4 in a row.
    xG & xGA per match — 3-game rolling average

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

    Brøndby
    Lyngby
    When goals are scored and conceded — 2026
    Brøndby (12–15)
    Lyngby (10–16)
    Pass networks

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

    Brøndby
    Luis Binks: 298 passningar, xT 0.5BinksBartosz Piotr Slisz: 230 passningar, xT 0.71SliszMax Ejdum: 208 passningar, xT 0.22EjdumJordi Vanlerberghe: 200 passningar, xT 0.54VanlerbergheOliver Villadsen: 198 passningar, xT 0.7VilladsenMarko Divkovic: 187 passningar, xT 0.55DivkovicMads Frøkjær-Jensen: 183 passningar, xT 0.91Frøkjær-JensenPatrick Pentz: 138 passningar, xT 0.12PentzMats Kohlert: 104 passningar, xT 0.09KohlertFrederik Alves: 95 passningar, xT 0.08AlvesRaphael Canut Pedersen: 84 passningar, xT 0.12Pedersen
    Lyngby
    Lauge Sandgrav: 264 passningar, xT 0.69SandgravMikkel Fischer: 244 passningar, xT 0.86FischerMunashe Garananga: 235 passningar, xT 0.23GaranangaOskar Buur: 169 passningar, xT 1.08BuurGustav Fraulo: 155 passningar, xT 0.95FrauloRenzo Tytens: 138 passningar, xT 0.03TytensDiego Kochen: 126 passningar, xT 0.26KochenJens Jakob Thomasen: 120 passningar, xT 0.1ThomasenSimon Willem Colyn: 106 passningar, xT 0.35ColynCasper Winther: 99 passningar, xT 0.22WintherOliver Hojer: 76 passningar, xT 0.07Hojer
    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.

    Brøndby
    Luis Binks: 298 passningar, xT 0.5BinksBartosz Piotr Slisz: 230 passningar, xT 0.71SliszMax Ejdum: 208 passningar, xT 0.22EjdumJordi Vanlerberghe: 200 passningar, xT 0.54VanlerbergheOliver Villadsen: 198 passningar, xT 0.7VilladsenMarko Divkovic: 187 passningar, xT 0.55DivkovicMads Frøkjær-Jensen: 183 passningar, xT 0.91Frøkjær-JensenPatrick Pentz: 138 passningar, xT 0.12PentzMats Kohlert: 104 passningar, xT 0.09KohlertFrederik Alves: 95 passningar, xT 0.08AlvesRaphael Canut Pedersen: 84 passningar, xT 0.12Pedersen
    Lyngby
    Lauge Sandgrav: 264 passningar, xT 0.69SandgravMikkel Fischer: 244 passningar, xT 0.86FischerMunashe Garananga: 235 passningar, xT 0.23GaranangaOskar Buur: 169 passningar, xT 1.08BuurGustav Fraulo: 155 passningar, xT 0.95FrauloRenzo Tytens: 138 passningar, xT 0.03TytensDiego Kochen: 126 passningar, xT 0.26KochenJens Jakob Thomasen: 120 passningar, xT 0.1ThomasenSimon Willem Colyn: 106 passningar, xT 0.35ColynCasper Winther: 99 passningar, xT 0.22WintherOliver Hojer: 76 passningar, xT 0.07Hojer

    The teams in numbers

    PerformanceBrøndbyLyngby
    Points137
    xPoints1014.4
    xG per match1.31.7
    xGA per match1.41.2
    xG within 8s of winning the ball0.320.41
    xGA within 8s of losing the ball0.320.28
    Playing styleBrøndbyLyngby
    Build-up efficiency0.320.32
    Field tilt0.670.66
    xT per match1.31.2
    xTA per match0.960.91
    Won balls, offensive half2735
    Pressing intensity0.230.23
    Pressing efficiency0.320.29
    Pressing efficiency, offensive half0.270.25
    Entries into the box per match1716
    Entries into the box against1313
    Pass completion %0.790.74
    Pass completion % under pressure0.740.71
    Passes per match425362
    Passes against per match318373
    Switches of play per match26.311.7
    Long balls per match3024
    Set piecesBrøndbyLyngby
    xG from free kicks0.140.11
    Corners per match6.15.8
    Corners against per match4.64.1
    xG per corner0.020.02
    xGA per corner against0.040.02
    First touch, offensive corners %0.290.44
    First touch, defensive corners %0.560.62
    OtherBrøndbyLyngby
    Throw-in control0.720.65
    The goalkeepersPatrick Pentz (Brøndby)Diego Kochen (Lyngby)
    Saves2224
    Save %61%60%
    xG prevented50%50%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Brøndby vs Lyngby according to our model?

    The model gives Brøndby a 52% win probability. Full 1X2 picture: Brøndby 52%, draw 22%, Lyngby 26%.

    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 58% and under at 42%.

    Will both teams score?

    The probability of both teams scoring is 60% 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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.