Danish SuperligaBrøndby Stadion, Brøndby15°0,6 mm13 km/h

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    BrøndbyBrøndbyCounter-attacks & crosses
    vs
    SilkeborgSilkeborgBalanced & physical
    The model's lean: 1 · Brøndby (61%)Best value by the model: 2 · Silkeborg @ 6.90 (+25 %)

    BrøndbySilkeborg · Danish Superliga

    1 · Brøndby 61%X 21%18% Silkeborg · 2

    Analysis: BrøndbySilkeborg

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    61% probability gives Brondby IF a commanding edge over Silkeborg in their upcoming duel. The numbers suggest a compelling clash, but one that weighs heavily in favor of the home side. Historically, Brondby IF has enjoyed the upper hand, unbeaten in their last four encounters with Silkeborg since 2022, with two wins and two draws. Yet, Silkeborg's slightly superior expected points (4.8 compared to Brondby’s 3.4) and lower expected goals against per match (0.99 versus 1.4) hint at an underlying resilience that could spring a surprise.

    Brondby IF's style of play, characterized by counter-attacks and crosses, is poised to exploit any lapses in Silkeborg's balanced but physical approach. With an expected goals figure of 2.22, Brondby IF is likely to create more high-quality chances, which aligns with the most likely scorelines of 2-1 and 2-0. Silkeborg, despite their resilience, seems vulnerable with an expected goals of just 1.12.

    The model suggests a 65% chance of over 2.5 goals. Given Brondby's offensive potential and Silkeborg's physicality, this seems a realistic bet, though not without risk due to the latter's defensive strength. Rain and strong wind might normally suppress scoring, but these conditions are already factored into the model's forecast.

    Brondby IF should capitalize on their home advantage and superior attacking metrics, likely edging a 2-1 victory. With both teams scoring in 60% of projections, punters might lean towards goal-scoring markets. The best value emerges with Bet365 offering 2.10 odds on over 2.5 goals. While far from a certainty, it aligns with the game's statistical narrative, marrying Brondby's attacking prowess with Silkeborg's penchant for a fight.

    BrøndbyBrøndby
    Form WLDWW
    League ranking xG #6xGA #8xT #4xP/match #10Points #1
    Key players
    • Marcus YounisRWxG 0.22 · xT 0.03
    • Max EjdumLWxG 0.10 · xT 0.10
    • Filip BundgaardLWxG 0.23 · xT 0.29
    SilkeborgSilkeborg
    Form LLDLW
    League ranking xG #9xGA #4xT #10xP/match #3Points #7
    Key players
    • Callum MccowattFxG 0.15 · xT 0.20
    • Mads LarsenCDMxG 0.00 · xT 0.02
    • Oliver RossLWxG 0.36 · xT 0.21

    Match prediction: BrøndbySilkeborg

    Predicted score matrix

    Silkeborg
    Brøndby
    0
    1
    2
    3
    4+
    0
    0–03.8%
    0–13.7%
    0–22.2%
    0–30.8%
    0–4+0.3%
    1
    1–07.6%
    1–19.1%
    1–25.0%
    1–31.9%
    1–4+0.7%
    2
    2–08.7%
    2–19.8%
    2–25.5%
    2–32.1%
    2–4+0.7%
    3
    3–06.4%
    3–17.2%
    3–24.0%
    3–31.5%
    3–4+0.5%
    4+
    4+–06.0%
    4+–16.7%
    4+–23.8%
    4+–31.4%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.1-19%
    3. 3.2-09%
    4. 4.1-08%
    5. 5.3-17%
    Expected goals
    2,221,12
    Both teams to score
    60%

    Over/under goals

    Expected goals: 3,3
    Under 2,535%
    @2.52
    Over 2,565%
    @1.50

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Brøndby to win61%
    • Over 1.5 goals85%

    Combined probability

    54%

    Fair odds

    1.85

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

    02 · 3 legs

    Balanced

    • Brøndby to win61%
    • Over 2.5 goals65%
    • Max Isaac Ejdum 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 score60%
    • Over 2.5 goals65%
    • Max Isaac Ejdum to score27%
    • William Kirk to be booked22%

    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 · Silkeborg18% probability@6.90BetssonEV+25%reference odds
    • 2 · Silkeborg18% probability@6.90NordicbetEV+25%reference odds
    • 2 · Silkeborg18% probability@6.80BetsafeEV+23%reference odds
    Bookmaker1 · BrøndbyX2 · Silkeborg
    Betsafe1.464.30
    EV+ 23%
    6.80
    Betsson1.474.35
    EV+ 25%
    6.90
    Nordicbet1.474.35
    EV+ 25%
    6.90

    Odds updated 18 Aug, 06:36

    Odds movement

    1-2 %
    67 %62 %

    1.501.47

    X-5 %
    24 %19 %

    4.604.35

    2+16 %
    17 %12 %

    5.956.90

    Over 2,5+1 %
    65 %60 %

    1.491.50

    Betsson · 17 recorded price levels · 16/08/2026 → 18/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Brøndby 2Draw 2Silkeborg 0
    Goals: 105 (⌀ 3,8)

    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).

    Brøndby
    Silkeborg
    When goals are scored and conceded 2026
    Brøndby (41)
    Silkeborg (34)
    Pass networks

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

    Brøndby
    Luis Binks: 147 passningar, xT 0.17BinksJordi Vanlerberghe: 146 passningar, xT 0.19VanlerbergheBartosz Piotr Slisz: 120 passningar, xT 0.11SliszOliver Villadsen: 117 passningar, xT 0.41VilladsenMats Kohlert: 113 passningar, xT 0.21KohlertMax Ejdum: 97 passningar, xT 0.08EjdumPatrick Pentz: 64 passningar, xT 0.06PentzMads Frøkjær-Jensen: 60 passningar, xT 0.62Frøkjær-JensenFilip Bundgaard: 45 passningar, xT 0.41BundgaardWilliam Sonne-Schmidt: 23 passningar, xT 0.01Sonne-SchmidtMarko Divkovic: 23 passningar, xT 0.14Divkovic
    Silkeborg
    Mads Larsen: 208 passningar, xT 0.02LarsenRobin Ostrom: 199 passningar, xT 0.08OstromWilliam Lokke Moller: 186 passningar, xT 0.11MollerVillads Westh: 179 passningar, xT -0.01WesthJens Martin Gammelby: 110 passningar, xT 0.03GammelbyAlexander Madsen: 103 passningar, xT 0.21MadsenCallum Mccowatt: 99 passningar, xT 0.55MccowattRami Al Hajj: 73 passningar, xT 0.23HajjAske Andresen: 52 passningar, xT 0AndresenWilliam Kirk: 50 passningar, xT -0.03KirkOliver Ross: 49 passningar, xT 0.03Ross
    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: 147 passningar, xT 0.17BinksJordi Vanlerberghe: 146 passningar, xT 0.19VanlerbergheBartosz Piotr Slisz: 120 passningar, xT 0.11SliszOliver Villadsen: 117 passningar, xT 0.41VilladsenMats Kohlert: 113 passningar, xT 0.21KohlertMax Ejdum: 97 passningar, xT 0.08EjdumPatrick Pentz: 64 passningar, xT 0.06PentzMads Frøkjær-Jensen: 60 passningar, xT 0.62Frøkjær-JensenFilip Bundgaard: 45 passningar, xT 0.41BundgaardWilliam Sonne-Schmidt: 23 passningar, xT 0.01Sonne-SchmidtMarko Divkovic: 23 passningar, xT 0.14Divkovic
    Silkeborg
    Mads Larsen: 208 passningar, xT 0.02LarsenRobin Ostrom: 199 passningar, xT 0.08OstromWilliam Lokke Moller: 186 passningar, xT 0.11MollerVillads Westh: 179 passningar, xT -0.01WesthJens Martin Gammelby: 110 passningar, xT 0.03GammelbyAlexander Madsen: 103 passningar, xT 0.21MadsenCallum Mccowatt: 99 passningar, xT 0.55MccowattRami Al Hajj: 73 passningar, xT 0.23HajjAske Andresen: 52 passningar, xT 0AndresenWilliam Kirk: 50 passningar, xT -0.03KirkOliver Ross: 49 passningar, xT 0.03Ross

    The teams in numbers

    PerformanceBrøndbySilkeborg
    Points74
    xPoints3.44.8
    xG per match1.10.99
    xGA per match1.40.99
    xG within 8s of winning the ball0.20.3
    xGA within 8s of losing the ball0.250.1
    Playing styleBrøndbySilkeborg
    Build-up efficiency0.310.32
    Field tilt0.550.42
    xT per match1.10.62
    xTA per match0.791.2
    Won balls, offensive half2518
    Pressing intensity0.220.24
    Pressing efficiency0.340.24
    Pressing efficiency, offensive half0.30.19
    Entries into the box per match1614
    Entries into the box against1513
    Pass completion %0.760.81
    Pass completion % under pressure0.690.78
    Passes per match354473
    Passes against per match357477
    Switches of play per match20.215.8
    Long balls per match2620
    Set piecesBrøndbySilkeborg
    xG from free kicks0.130.04
    Corners per match6.86.7
    Corners against per match5.44
    xG per corner0.030.02
    xGA per corner against0.040.01
    First touch, offensive corners %0.350.6
    First touch, defensive corners %0.560.58
    OtherBrøndbySilkeborg
    Throw-in control0.710.74
    The goalkeepersPatrick Pentz (Brøndby)Aske Andresen (Silkeborg)
    Saves67
    Save %100%64%
    xG prevented100%44%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Brøndby vs Silkeborg according to our model?

    The model gives Brøndby a 61% win probability. Full 1X2 picture: Brøndby 61%, draw 21%, Silkeborg 18%.

    What is the most likely scoreline?

    The model's most likely final score is 2-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 65% and under at 35%.

    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.

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