Danish SuperligaJYSK park, Silkeborg18°1,0 mm24 km/h

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    SilkeborgSilkeborgBalanced & physical
    10
    OdenseOdensePossession & high press
    The model's lean: 2 · Odense (40%)Best value by the model: Under 0,5 @ 23.00 (+12 %)

    SilkeborgOdense · Danish Superliga

    1 · Silkeborg 36%X 24%40% Odense · 2

    Analysis: SilkeborgOdense

    Erik Lindberg · · How the predictions work

    Odense Boldklub's xG per match tells a compelling story: 1.9 to Silkeborg's 0.92. This significant gap points to Odense's superior attacking prowess, even if the small head-to-head sample from the past matches might suggest otherwise, where Silkeborg has taken three wins and a draw. But remember, these are not the same teams every year. Odense's attacking flair, built on possession and a high press, is likely to play a decisive role in this encounter.

    Silkeborg may hold a head-to-head advantage since 2022, but this is overshadowed by the current season's data. They trail in both points and xPoints, with Odense Boldklub edging them 3 to 1 in points and 3.4 to 3.1 in xPoints. This season, Silkeborg's relatively balanced and physical style hasn't translated into goals or points, as evidenced by their lower xG and xPoints.

    Weather conditions, with light rain expected, could slightly dampen the goal tally. However, the over 2.5 goals market stands at 60%, with both teams likely to get on the scoresheet. Odense's high press might find itself stymied a touch by a slippery surface, but they still seem poised to edge out in terms of chances created.

    The betting value here leans towards Odense Boldklub to take the win, priced at 2.56 with Betfair Exchange, offering a slight edge according to the model. But for those drawn to fewer goals, the under 2.5 at 2.55 with Paddy Power presents a solid value bet, especially when considering weather's suppressive effect. The model's most probable outcomes are 1-1 or a narrow 1-2 victory for Odense Boldklub, with the visitors likely to emerge on top in a match that is expectedly tense and tactically enticing.

    SilkeborgSilkeborg
    Form WLLDL
    League ranking xG #10xGA #4xT #11xP/match #5Points #11
    Key players
    • Callum MccowattFxG 0.15 · xT 0.20
    • Mads LarsenCMxG 0.00 · xT -0.01
    • Villads WesthCMxG 0.08 · xT 0.00
    OdenseOdense
    Form LDLLW
    League ranking xG #3xGA #2xT #3xP/match #3Points #6
    Key players
    • Fiete ArpRWxG 0.32 · xT 0.27
    • Ismahila OuédraogoCMxG 0.05 · xT 0.10
    • James GomezCBxG 0.00 · xT 0.12
    Final score
    10
    The model missed the outcome
    Predicted probabilities: Silkeborg 36% · Draw 24% · Odense 40%

    Match prediction: SilkeborgOdense

    Predicted score matrix

    Odense
    Silkeborg
    0
    1
    2
    3
    4+
    0
    0–04.9%
    0–17.1%
    0–26.0%
    0–33.2%
    0–4+1.8%
    1
    1–06.4%
    1–111.2%
    1–28.8%
    1–34.7%
    1–4+2.7%
    2
    2–05.0%
    2–18.0%
    2–26.4%
    2–33.5%
    2–4+2.0%
    3
    3–02.4%
    3–13.9%
    3–23.2%
    3–31.7%
    3–4+1.0%
    4+
    4+–01.2%
    4+–12.0%
    4+–21.6%
    4+–30.9%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-17%
    5. 5.1-06%
    Expected goals
    1,471,61
    Both teams to score
    62%

    Over/under goals

    Expected goals: 3,1
    Under 2,540%
    @2.64EV+7%
    Over 2,560%
    @1.60

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Odense or draw (X2)65%
    • Over 1.5 goals82%

    Combined probability

    53%

    Fair odds

    1.87

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

    02 · 3 legs

    Balanced

    • Double chance Odense or draw (X2)65%
    • Over 2.5 goals60%
    • Noah Ganaus to score27%

    Combined probability

    10%

    Fair odds

    10.06

    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 score62%
    • Over 2.5 goals60%
    • Noah Ganaus to score27%
    • William Kirk to be booked19%

    Combined probability

    3%

    Fair odds

    38.17

    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 0.55% probability@23.00Betfair ExchangeEV+12%
    • Under 1.518% probability@5.90Betfair ExchangeEV+9%
    • Under 2.540% probability@2.64Betfair ExchangeEV+7%
    Bookmaker1 · SilkeborgX2 · Odense
    Betfair Exchange2.703.90
    EV+ 4%
    2.62
    Paddy Power2.303.602.50

    Odds updated 10 Aug, 10:08

    Odds movement

    1+12 %
    45 %25 %

    2.422.70

    X+1 %
    34 %14 %

    3.853.90

    2-4 %
    52 %32 %

    2.722.62

    Betfair Exchange · 32 recorded price levels · 03/08/2026 → 10/08/2026 · fixed scale 20 percentage points

    Statistics

    Head-to-head

    4 matches
    Silkeborg 3Draw 1Odense 0
    Goals: 95 (⌀ 3,5)

    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).

    Silkeborg
    Odense
    When goals are scored and conceded 2026
    Silkeborg (24)
    Odense (11)
    Pass networks

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

    Silkeborg
    Robin Ostrom: 141 passningar, xT 0.07OstromMads Larsen: 131 passningar, xT -0.03LarsenVillads Westh: 125 passningar, xT 0WesthWilliam Lokke Moller: 120 passningar, xT 0.06MollerJens Martin Gammelby: 77 passningar, xT 0.03GammelbyAlexander Madsen: 71 passningar, xT 0.17MadsenCallum Mccowatt: 63 passningar, xT 0.36MccowattRami Al Hajj: 58 passningar, xT 0.12HajjWilliam Kirk: 39 passningar, xT -0.04KirkOliver Ross: 30 passningar, xT 0.03RossAske Andresen: 30 passningar, xT 0.01Andresen
    Odense
    Ismahila Ouédraogo: 125 passningar, xT 0.12OuédraogoJames Gomez: 114 passningar, xT 0.2GomezMarcus Mccoy: 102 passningar, xT 0.15MccoyJakob Bonde: 77 passningar, xT 0.12BondeJulius Askou: 56 passningar, xT 0.18AskouUlrik Yttergård Jenssen: 49 passningar, xT 0.12JenssenFiete Arp: 46 passningar, xT 0.37ArpPeter Nysted Therkildsen: 39 passningar, xT 0.03TherkildsenTopi Keskinen: 38 passningar, xT 0.3KeskinenRasmus Falk: 33 passningar, xT 0.05FalkAdam Sorensen: 32 passningar, xT 0.09Sorensen
    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.

    Silkeborg
    Robin Ostrom: 141 passningar, xT 0.07OstromMads Larsen: 131 passningar, xT -0.03LarsenVillads Westh: 125 passningar, xT 0WesthWilliam Lokke Moller: 120 passningar, xT 0.06MollerJens Martin Gammelby: 77 passningar, xT 0.03GammelbyAlexander Madsen: 71 passningar, xT 0.17MadsenCallum Mccowatt: 63 passningar, xT 0.36MccowattRami Al Hajj: 58 passningar, xT 0.12HajjWilliam Kirk: 39 passningar, xT -0.04KirkOliver Ross: 30 passningar, xT 0.03RossAske Andresen: 30 passningar, xT 0.01Andresen
    Odense
    Ismahila Ouédraogo: 125 passningar, xT 0.12OuédraogoJames Gomez: 114 passningar, xT 0.2GomezMarcus Mccoy: 102 passningar, xT 0.15MccoyJakob Bonde: 77 passningar, xT 0.12BondeJulius Askou: 56 passningar, xT 0.18AskouUlrik Yttergård Jenssen: 49 passningar, xT 0.12JenssenFiete Arp: 46 passningar, xT 0.37ArpPeter Nysted Therkildsen: 39 passningar, xT 0.03TherkildsenTopi Keskinen: 38 passningar, xT 0.3KeskinenRasmus Falk: 33 passningar, xT 0.05FalkAdam Sorensen: 32 passningar, xT 0.09Sorensen

    The teams in numbers

    PerformanceSilkeborgOdense
    Points13
    xPoints3.13.4
    xG per match0.921.9
    xGA per match0.950.89
    xG within 8s of winning the ball0.440.49
    xGA within 8s of losing the ball0.080.16
    Playing styleSilkeborgOdense
    Build-up efficiency0.320.32
    Field tilt0.420.62
    xT per match0.521.4
    xTA per match1.10.71
    Won balls, offensive half2227
    Pressing intensity0.240.21
    Pressing efficiency0.230.37
    Pressing efficiency, offensive half0.270.4
    Entries into the box per match1511
    Entries into the box against1110
    Pass completion %0.820.78
    Pass completion % under pressure0.770.7
    Passes per match479432
    Passes against per match496311
    Switches of play per match15.725.1
    Long balls per match1928
    Set piecesSilkeborgOdense
    xG from free kicks00.01
    Corners per match7.18.2
    Corners against per match4.68.2
    xG per corner0.010.01
    xGA per corner against0.010.01
    First touch, offensive corners %0.570.12
    First touch, defensive corners %0.670.69
    OtherSilkeborgOdense
    Throw-in control0.730.63
    The goalkeepersAske Andresen (Silkeborg)Julius Askou (Odense)
    Saves43
    Save %50%100%
    xG prevented31%100%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Silkeborg vs Odense according to our model?

    The model gives Odense a 40% win probability. Full 1X2 picture: Silkeborg 36%, draw 24%, Odense 40%.

    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 60% and under at 40%.

    Will both teams score?

    The probability of both teams scoring is 62% 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.