Danish SuperligaNature Energy Park, Odense

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    OdenseOdensePossession & high press
    vs
    SilkeborgSilkeborgCounter-attacks & crosses
    The model's lean: 1 · Odense (52%)

    Odense vs Silkeborg · Danish Superliga

    1 · Odense 52%X 24%23% Silkeborg · 2

    Prediction summary

    BetBuilders AI model prediction for Odense vs Silkeborg (Danish Superliga, Sunday, 1 November 2026): Odense win 52%, draw 24%, Silkeborg win 23%. Expected goals (xG): Odense 1.69, Silkeborg 1.19. Most likely score: 1-1 (12%). Over 2.5 goals 55%, both teams to score 57%. Double chance: Odense or draw 77%, Silkeborg or draw 48%. Prediction updated Saturday, 24 October 2026.

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    Analysis: Odense – Silkeborg

    Sofia Andersson · · The model's read on the match · How the predictions work

    Odense enters this clash with a statistical edge backed by both the model probability and their performance metrics, despite a poor historical record against Silkeborg. The hosts' possession-heavy, high-pressing approach contrasts sharply with the visitors' counter-attacking and cross-heavy style, setting the stage for a tactical duel. With a 52% model probability for a home win and the most likely scorelines leaning towards a narrow 2-1 or 1-0 victory for Odense, the data tentatively favors the home side.

    Silkeborg's dominance in their recent five meetings, winning four and drawing one, complicates the narrative. However, given the small head-to-head sample size, current form and expected goals (xG) should weigh more heavily in the analysis. Odense boasts an xG of 1.69 compared to Silkeborg's 1.19, suggesting that the hosts are creating higher-quality chances. Yet, their xGA of 1.7 indicates vulnerabilities at the back that Silkeborg might exploit.

    The over 2.5 goals probability sits at 55%, with both teams to score at 57%, hinting at a potentially open match. Historical trends of 3.0 goals per game in this fixture support this, although Odense's recent defensive fragility could be a concern. While the xPoints give a slight edge to Silkeborg, the actual points tally favors Odense, emphasizing their ability to convert chances more effectively.

    Betting value appears to lean towards Odense despite their poor head-to-head record. Look to bookmaker odds for Odense around 1.80–2.00 as representing value given the model's 52% win probability. A sharp angle might be backing Odense to win with over 2.5 goals scored in the match, stacking the model's confidence in a home win with the likelihood of a high-scoring encounter.

    OdenseOdense
    Form LWDDW
    League ranking xG #7xGA #9xT #3xP/match #9Points #7
    Key players
    • Jakob BondeCMxG 0.28 · xT 0.13
    • Julius AskouCBxG 0.10 · xT 0.13
    • Rasmus FalkCDMxG 0.11 · xT 0.21
    SilkeborgSilkeborg
    Form DDWDL
    League ranking xG #12xGA #7xT #12xP/match #7Points #8
    Key players
    • Mads LarsenCDMxG 0.05 · xT 0.02
    • Callum MccowattCAMxG 0.16 · xT 0.16
    • Villads WesthCMxG 0.04 · xT 0.08

    Match prediction: Odense – Silkeborg

    Predicted score matrix

    Silkeborg →
    Odense →
    0
    1
    2
    3
    4+
    0
    0–06.0%
    0–16.4%
    0–24.0%
    0–31.6%
    0–4+0.6%
    1
    1–09.2%
    1–111.6%
    1–26.7%
    1–32.7%
    1–4+1.0%
    2
    2–08.0%
    2–19.5%
    2–25.7%
    2–32.3%
    2–4+0.9%
    3
    3–04.5%
    3–15.4%
    3–23.2%
    3–31.3%
    3–4+0.5%
    4+
    4+–02.8%
    4+–13.3%
    4+–22.0%
    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. 2.2-110%
    3. 3.1-09%
    4. 4.2-08%
    5. 5.1-27%
    Expected goals
    1,69–1,19
    Both teams to score
    57%

    Over/under goals

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

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    01 · 2 legs

    Safe

    • Odense to win52%
    • Over 1.5 goals78%

    Combined probability

    39%

    Fair odds

    2.54

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

    02 · 3 legs

    Balanced

    • Odense to win52%
    • Over 2.5 goals55%
    • Jakob Bonde Jensen to score20%

    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%
    • Jakob Bonde Jensen to score20%
    • Mads Lautrup Freundlich 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

    No odds available yet.

    Statistics

    Head-to-head

    5 matches
    Odense 0Draw 1Silkeborg 4
    Goals: 5–10 (⌀ 3)

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

    Key facts

    • Silkeborg dominate this fixture historically: 4 wins to 0 in 5 meetings.
    • A high-scoring fixture: 3.0 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    Odense
    Silkeborg
    When goals are scored and conceded — 2026
    Odense (10–15)
    Silkeborg (15–19)
    Pass networks

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

    Odense
    Julius Askou: 318 passningar, xT 0.56AskouRasmus Falk: 271 passningar, xT 0.87FalkNikolaj Juul-Sandberg: 200 passningar, xT -0.16Juul-SandbergJames Gomez: 193 passningar, xT 0.19GomezMarcus Mccoy: 187 passningar, xT 0.34MccoyJulian Pauli: 168 passningar, xT 0.2PauliMagnus Andersen: 159 passningar, xT 0.24AndersenViljar Myhra: 146 passningar, xT 0.18MyhraIsmahila Ouédraogo: 96 passningar, xT 0.06OuédraogoFredrik Stensøe Ulvestad: 82 passningar, xT 0.24UlvestadTopi Keskinen: 77 passningar, xT 0.76Keskinen
    Silkeborg
    Robin Østrøm: 337 passningar, xT 0.22ØstrømAlexander Madsen: 249 passningar, xT 0.31MadsenMads Larsen: 248 passningar, xT 0.05LarsenVillads Westh: 232 passningar, xT 0.42WesthWilliam Møller: 160 passningar, xT 0.11MøllerJens Martin Gammelby: 144 passningar, xT -0.1GammelbyRami Al Hajj: 127 passningar, xT 0.28HajjMads Freundlich: 124 passningar, xT 0.18FreundlichAske Andresen: 109 passningar, xT -0.01AndresenMaël de Gevigney: 88 passningar, xT 0.06GevigneyOliver Ross: 81 passningar, xT 0.13Ross
    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.

    Odense
    Julius Askou: 318 passningar, xT 0.56AskouRasmus Falk: 271 passningar, xT 0.87FalkNikolaj Juul-Sandberg: 200 passningar, xT -0.16Juul-SandbergJames Gomez: 193 passningar, xT 0.19GomezMarcus Mccoy: 187 passningar, xT 0.34MccoyJulian Pauli: 168 passningar, xT 0.2PauliMagnus Andersen: 159 passningar, xT 0.24AndersenViljar Myhra: 146 passningar, xT 0.18MyhraIsmahila Ouédraogo: 96 passningar, xT 0.06OuédraogoFredrik Stensøe Ulvestad: 82 passningar, xT 0.24UlvestadTopi Keskinen: 77 passningar, xT 0.76Keskinen
    Silkeborg
    Robin Østrøm: 337 passningar, xT 0.22ØstrømAlexander Madsen: 249 passningar, xT 0.31MadsenMads Larsen: 248 passningar, xT 0.05LarsenVillads Westh: 232 passningar, xT 0.42WesthWilliam Møller: 160 passningar, xT 0.11MøllerJens Martin Gammelby: 144 passningar, xT -0.1GammelbyRami Al Hajj: 127 passningar, xT 0.28HajjMads Freundlich: 124 passningar, xT 0.18FreundlichAske Andresen: 109 passningar, xT -0.01AndresenMaël de Gevigney: 88 passningar, xT 0.06GevigneyOliver Ross: 81 passningar, xT 0.13Ross

    The teams in numbers

    PerformanceOdenseSilkeborg
    Points1311
    xPoints13.414.8
    xG per match1.51.1
    xGA per match1.71.5
    xG within 8s of winning the ball0.280.25
    xGA within 8s of losing the ball0.250.25
    Playing styleOdenseSilkeborg
    Build-up efficiency0.320.32
    Field tilt0.540.37
    xT per match1.20.66
    xTA per match1.11.2
    Won balls, offensive half2719
    Pressing intensity0.240.25
    Pressing efficiency0.270.26
    Pressing efficiency, offensive half0.230.19
    Entries into the box per match1311
    Entries into the box against1415
    Pass completion %0.790.8
    Pass completion % under pressure0.740.74
    Passes per match426421
    Passes against per match391449
    Switches of play per match24.218.5
    Long balls per match3025
    Set piecesOdenseSilkeborg
    xG from free kicks0.040.04
    Corners per match5.94.1
    Corners against per match6.36.4
    xG per corner0.010.02
    xGA per corner against0.040.03
    First touch, offensive corners %0.170.53
    First touch, defensive corners %0.680.61
    OtherOdenseSilkeborg
    Throw-in control0.720.72
    The goalkeepersViljar Myhra (Odense)Aske Andresen (Silkeborg)
    Saves2534
    Save %64%64%
    xG prevented42%36%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Odense vs Silkeborg according to our model?

    The model gives Odense a 52% win probability. Full 1X2 picture: Odense 52%, draw 24%, Silkeborg 23%.

    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 Odense vs Silkeborg?

    The model expects 1.69 goals (xG) for Odense and 1.19 for Silkeborg, 2.88 in total.

    What does the model say about double chance?

    Odense or draw (1X) 77%, Silkeborg or draw (X2) 48% and no draw (12) 76%.

    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.