Danish SuperligaNature Energy Park, Odense18°20 km/h

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    OdenseOdensePossession & high press
    vs
    HorsensHorsensLow block & direct
    The model's lean: 1 · Odense (54%)Best value by the model: 2 · Horsens @ 5.10 (+24 %)

    OdenseHorsens · Danish Superliga

    1 · Odense 54%X 22%24% Horsens · 2

    Analysis: OdenseHorsens

    Marcus Johansson · · How the predictions work

    The numbers sing a familiar tune: Odense Boldklub holds the upper hand against Horsens in this Danish Superliga tussle. With a 54% probability in their favour, Odense's home advantage is palpable, and their playing style of possession and high press may unsettle Horsens' low defensive block. The expected goals (xG) lean heavily toward Odense, at 1.73 to Horsens' 1.21, highlighting the attacking threat they pose compared to Horsens' more reserved approach.

    Odense Boldklub's form, both in terms of points (3) and expected points (4.5), eclipses that of Horsens (1 and 2.8, respectively). This is not merely a matter of scraping wins; Odense's underlying numbers affirm that their performances on the pitch are backed by solid metrics. Their xG per match stands at 1.6, more than double that of Horsens' 0.68, emphasizing a persistent offensive edge. Moreover, Odense's xGA per match is a tight 0.98, suggesting a well-organized defensive unit compared to Horsens' leaky 2.0.

    While the most likely scoreline hovers around a 1-1 draw at 11%, the model favours a 2-1 or even a 1-0 for Odense as plausible outcomes, suggesting a tight contest where they might just edge it. The over 2.5 goals probability stands at 56%, indicating a slight lean towards a more open game, and with both teams to score at 58%, goals on either side aren't out of the question, although Odense's effective press might stifle Horsens' chances.

    Horsens backers might find solace in the value offered by bookmakers like Betfair Exchange, Paddy Power, and Betsson, where odds of 5.1, 5.0, and 4.9, respectively, present a tempting proposition for the daring punter, given the model's 24% probability for a Horsens win. While Odense Boldklub appears to be the stronger side, those odds hint at an intriguing value play for those willing to bet against the grain.

    OdenseOdense
    Form DLLWL
    League ranking xG #3xGA #3xT #3xP/match #6Points #8
    Key players
    • Fiete ArpRWxG 0.32 · xT 0.27
    • Ismahila OuédraogoCMxG 0.05 · xT 0.10
    • James GomezCBxG 0.00 · xT 0.12
    HorsensHorsens
    Form LLLLD
    League ranking xG #12xGA #11xT #12xP/match #11Points #12
    Key players
    • Kelvin Osemudiamen EhibhatiomhanFxG 0.15 · xT 0.00
    • Adam HerdonssonFxG 0.01 · xT -0.01
    • Adrian JustinussenFxG 0.30 · xT -0.02

    Match prediction: OdenseHorsens

    Predicted score matrix

    Horsens
    Odense
    0
    1
    2
    3
    4+
    0
    0–05.6%
    0–16.1%
    0–23.9%
    0–31.6%
    0–4+0.6%
    1
    1–08.8%
    1–111.4%
    1–26.7%
    1–32.7%
    1–4+1.1%
    2
    2–07.9%
    2–19.6%
    2–25.8%
    2–32.3%
    2–4+0.9%
    3
    3–04.6%
    3–15.5%
    3–23.3%
    3–31.4%
    3–4+0.5%
    4+
    4+–02.9%
    4+–13.5%
    4+–22.1%
    4+–30.9%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.2-110%
    3. 3.1-09%
    4. 4.2-08%
    5. 5.1-27%
    Expected goals
    1,731,21
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @2.10
    Over 2,556%
    @1.90EV+7%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Odense to win54%
    • Over 1.5 goals80%

    Combined probability

    40%

    Fair odds

    2.47

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

    02 · 3 legs

    Balanced

    • Odense to win54%
    • Over 2.5 goals56%
    • Noah Ganaus to score42%

    Combined probability

    14%

    Fair odds

    7.30

    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 score58%
    • Over 2.5 goals56%
    • Noah Ganaus to score42%
    • Frederik Roslyng Christiansen to be booked21%

    Combined probability

    4%

    Fair odds

    23.70

    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+).

    • 2 · Horsens24% probability@5.10Betfair ExchangeEV+24%
    • 2 · Horsens24% probability@5.00Paddy PowerEV+21%
    • 2 · Horsens24% probability@4.95BetssonEV+20%
    Bookmaker1 · OdenseX2 · Horsens
    Betfair Exchange1.734.00
    EV+ 24%
    5.10
    Betsafe1.723.60
    EV+ 18%
    4.85
    Betsson1.753.65
    EV+ 20%
    4.95
    Nordicbet1.753.65
    EV+ 20%
    4.95
    Paddy Power1.504.00
    EV+ 21%
    5.00
    Pinnacle1.713.78
    EV+ 16%
    4.79

    Odds updated 13 Aug, 13:36

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Odense
    When goals are scored and conceded 2026
    Odense (12)
    Pass networks

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

    Odense
    Ismahila Ouédraogo: 189 passningar, xT 0.23OuédraogoJames Gomez: 184 passningar, xT 0.27GomezMarcus Mccoy: 149 passningar, xT 0.38MccoyJulius Askou: 113 passningar, xT 0.27AskouJakob Bonde: 92 passningar, xT 0.1BondeRasmus Falk: 87 passningar, xT 0.11FalkUlrik Yttergård Jenssen: 77 passningar, xT 0.16JenssenTopi Keskinen: 60 passningar, xT 0.26KeskinenPeter Nysted Therkildsen: 55 passningar, xT 0.07TherkildsenNoah Ganaus: 52 passningar, xT 0.45GanausAdam Sorensen: 49 passningar, xT 0.49Sorensen
    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
    Ismahila Ouédraogo: 189 passningar, xT 0.23OuédraogoJames Gomez: 184 passningar, xT 0.27GomezMarcus Mccoy: 149 passningar, xT 0.38MccoyJulius Askou: 113 passningar, xT 0.27AskouJakob Bonde: 92 passningar, xT 0.1BondeRasmus Falk: 87 passningar, xT 0.11FalkUlrik Yttergård Jenssen: 77 passningar, xT 0.16JenssenTopi Keskinen: 60 passningar, xT 0.26KeskinenPeter Nysted Therkildsen: 55 passningar, xT 0.07TherkildsenNoah Ganaus: 52 passningar, xT 0.45GanausAdam Sorensen: 49 passningar, xT 0.49Sorensen

    The teams in numbers

    PerformanceOdenseHorsens
    Points31
    xPoints4.52.8
    xG per match1.60.68
    xGA per match0.982
    xG within 8s of winning the ball0.380.05
    xGA within 8s of losing the ball0.120.27
    Playing styleOdenseHorsens
    Build-up efficiency0.320.32
    Field tilt0.610.28
    xT per match1.40.3
    xTA per match0.751.4
    Won balls, offensive half2718
    Pressing intensity0.230.25
    Pressing efficiency0.290.26
    Pressing efficiency, offensive half0.240.19
    Entries into the box per match137
    Entries into the box against1120
    Pass completion %0.790.73
    Pass completion % under pressure0.720.67
    Passes per match435290
    Passes against per match364451
    Switches of play per match24.718.8
    Long balls per match2827
    Set piecesOdenseHorsens
    xG from free kicks0.020
    Corners per match6.43.3
    Corners against per match7.48.6
    xG per corner00.05
    xGA per corner against0.020.04
    First touch, offensive corners %0.210.5
    First touch, defensive corners %0.590.58
    OtherOdenseHorsens
    Throw-in control0.670.71
    The goalkeepersJulius Askou (Odense)Horsens
    Saves6
    Save %100%
    xG prevented100%
    Claims0 (0%)

    Frequently asked questions

    Who wins Odense vs Horsens according to our model?

    The model gives Odense a 54% win probability. Full 1X2 picture: Odense 54%, draw 22%, Horsens 24%.

    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 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 58% 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.