Danish SuperligaRight to Dream Park, Farum19°19 km/h

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    NordsjællandNordsjællandPossession & high press
    vs
    SilkeborgSilkeborgBalanced & physical
    The model's lean: 1 · Nordsjælland (69%)Best value by the model: Under 3,5 @ 1.87 (+7 %)

    NordsjællandSilkeborg · Danish Superliga

    1 · Nordsjælland 69%X 17%14% Silkeborg · 2

    Analysis: NordsjællandSilkeborg

    Anna Karlsson · · How the predictions work

    Sixty-nine percent—those are the odds in favor of FC Nordsjaelland making light work of Silkeborg, and it's a number that has some heft behind it. The home side's attacking prowess, evidenced by an expected goals metric of 2.27, stands in stark contrast to Silkeborg's 1.06. More than just numbers on a page, this figure tells a story of control and intent, driven by Nordsjaelland's high-press, possession-based game, which should dictate the tempo and direction of the match.

    FC Nordsjaelland have been on a fine run, with no losses in their last five league encounters. Their fortress at home is daunting, winning 61% of games played there since the start of last year. However, Silkeborg have shown they have what it takes to upset the odds, winning two of their four head-to-head clashes with Nordsjaelland since 2022. Yet, a small sample size cautions against weighing these results too heavily against the broader form and statistical strengths of Nordsjaelland.

    Two-one and two-nil are the most likely scorelines, according to the model, with a 10% and 9% chance, respectively. The over 2.5 goals market is juicy at 65%, pointing to an open game, albeit tempered slightly by Silkeborg's physicality and potential to disrupt. Weather conditions aren't mentioned here, so we can expect these probabilities to hold unless a last-minute storm rolls in.

    While a Silkeborg victory is a long shot, odds of 7.4 with Betsson and Nordicbet do offer value, given the model's 14% estimation. For those keen on a safer punt, the under 3.5 goals market offers a 7% edge at odds of 1.869 with Pinnacle, underlining the potential for a game that's more tactical than torrid. If you're looking to play your cards right, that might just be the sharpest angle in the deck.

    NordsjællandNordsjælland
    Form DDWDW
    League ranking xG #1xGA #2xT #1xP/match #1Points #5
    Key players
    • Nicklas RojkjaerLWxG 0.37 · xT 0.08
    • Mamadou Lamine SadioFxG 0.58 · xT 0.04
    • Stephen AcquahCBxG 0.14 · xT 0.15
    SilkeborgSilkeborg
    Form LLDLW
    League ranking xG #9xGA #4xT #10xP/match #3Points #7
    Key players
    • Callum MccowattFxG 0.15 · xT 0.20
    • Mads LarsenCMxG 0.00 · xT -0.01
    • Villads WesthCMxG 0.08 · xT 0.00

    Match prediction: NordsjællandSilkeborg

    Predicted score matrix

    Silkeborg
    Nordsjælland
    0
    1
    2
    3
    4+
    0
    0–03.8%
    0–13.6%
    0–22.0%
    0–30.7%
    0–4+0.2%
    1
    1–07.9%
    1–18.9%
    1–24.6%
    1–31.6%
    1–4+0.5%
    2
    2–09.2%
    2–19.8%
    2–25.2%
    2–31.8%
    2–4+0.6%
    3
    3–07.0%
    3–17.4%
    3–23.9%
    3–31.4%
    3–4+0.5%
    4+
    4+–06.7%
    4+–17.1%
    4+–23.8%
    4+–31.3%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-110%
    2. 2.2-09%
    3. 3.1-19%
    4. 4.1-08%
    5. 5.3-17%
    Expected goals
    2,271,06
    Both teams to score
    59%

    Over/under goals

    Expected goals: 3,3
    Under 2,535%
    @2.95EV+4%
    Over 2,565%
    @1.40

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Nordsjælland to win69%
    • Over 1.5 goals85%

    Combined probability

    56%

    Fair odds

    1.78

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

    02 · 3 legs

    Balanced

    • Nordsjælland to win69%
    • Over 2.5 goals65%
    • Hjalte Boe Kling Rasmussen to score36%

    Combined probability

    17%

    Fair odds

    5.89

    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 score59%
    • Over 2.5 goals65%
    • Hjalte Boe Kling Rasmussen to score36%
    • William Kirk to be booked21%

    Combined probability

    4%

    Fair odds

    26.43

    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+).

    • Under 3.557% probability@1.87PinnacleEV+7%
    • 2 · Silkeborg14% probability@7.40BetssonEV+6%
    • 2 · Silkeborg14% probability@7.40NordicbetEV+6%
    Bookmaker1 · NordsjællandX2 · Silkeborg
    Betfair Exchange1.304.906.00
    Betsafe1.404.75
    EV+ 3%
    7.20
    Betsson1.414.80
    EV+ 6%
    7.40
    Nordicbet1.414.80
    EV+ 6%
    7.40
    Paddy Power1.444.505.00
    Pinnacle1.375.446.80

    Odds updated 13 Aug, 13:36

    Odds movement

    10 %
    71 %66 %

    1.371.37

    X+1 %
    20 %15 %

    5.385.44

    20 %
    16 %11 %

    6.826.80

    Pinnacle · 2 recorded price levels · 11/08/2026 → 12/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    Nordsjælland 1Draw 1Silkeborg 2
    Goals: 99 (⌀ 4,5)

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

    Key facts

    • FC Nordsjaelland are unbeaten in their last 5 league matches.
    • FC Nordsjaelland win 61% of their home matches all-time (33 played).
    xG & xGA per match — 3-game rolling average

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

    Nordsjælland
    Silkeborg
    When goals are scored and conceded 2026
    Nordsjælland (21)
    Silkeborg (34)
    Pass networks

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

    Nordsjælland
    Tobias Salquist: 175 passningar, xT 0.43SalquistCaleb Yirenkyi: 165 passningar, xT 0.29YirenkyiNicklas Rojkjaer: 128 passningar, xT 0.1RojkjaerMark Brink: 109 passningar, xT 0.18BrinkStephen Acquah: 101 passningar, xT 0.15AcquahPeter Ankersen: 95 passningar, xT 0.41AnkersenRunar Norheim: 93 passningar, xT -0.01NorheimJustin Janssen: 92 passningar, xT 0.19JanssenJuho Lahteenmaki: 81 passningar, xT 0.39LahteenmakiAndreas Hansen: 62 passningar, xT 0.06HansenPrince Amoako Junior: 52 passningar, xT 0.39Junior
    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.

    Nordsjælland
    Tobias Salquist: 175 passningar, xT 0.43SalquistCaleb Yirenkyi: 165 passningar, xT 0.29YirenkyiNicklas Rojkjaer: 128 passningar, xT 0.1RojkjaerMark Brink: 109 passningar, xT 0.18BrinkStephen Acquah: 101 passningar, xT 0.15AcquahPeter Ankersen: 95 passningar, xT 0.41AnkersenRunar Norheim: 93 passningar, xT -0.01NorheimJustin Janssen: 92 passningar, xT 0.19JanssenJuho Lahteenmaki: 81 passningar, xT 0.39LahteenmakiAndreas Hansen: 62 passningar, xT 0.06HansenPrince Amoako Junior: 52 passningar, xT 0.39Junior
    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

    PerformanceNordsjællandSilkeborg
    Points44
    xPoints3.84.8
    xG per match2.90.99
    xGA per match0.920.99
    xG within 8s of winning the ball0.310.3
    xGA within 8s of losing the ball0.050.1
    Playing styleNordsjællandSilkeborg
    Build-up efficiency0.350.32
    Field tilt0.80.42
    xT per match1.90.63
    xTA per match0.31.2
    Won balls, offensive half3018
    Pressing intensity0.230.24
    Pressing efficiency0.280.24
    Pressing efficiency, offensive half0.260.19
    Entries into the box per match2714
    Entries into the box against413
    Pass completion %0.840.81
    Pass completion % under pressure0.780.78
    Passes per match636474
    Passes against per match265478
    Switches of play per match32.715.8
    Long balls per match3920
    Set piecesNordsjællandSilkeborg
    xG from free kicks0.310.04
    Corners per match12.16.7
    Corners against per match44
    xG per corner0.040.02
    xGA per corner against0.020.01
    First touch, offensive corners %0.420.6
    First touch, defensive corners %0.620.58
    OtherNordsjællandSilkeborg
    Throw-in control0.70.74
    The goalkeepersAndreas Hansen (Nordsjælland)Aske Andresen (Silkeborg)
    Saves77
    Save %88%64%
    xG prevented31%44%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Nordsjælland vs Silkeborg according to our model?

    The model gives Nordsjælland a 69% win probability. Full 1X2 picture: Nordsjælland 69%, draw 17%, Silkeborg 14%.

    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 59% 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.