Danish SuperligaNature Energy Park, Odense10°31 km/h

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    OdenseOdensePossession & high press
    2–1
    BrøndbyBrøndbyPossession & high press
    The model's lean: 1 · Odense (41%)

    Odense vs Brøndby · Danish Superliga

    1 · Odense 41%X 26%33% Brøndby · 2

    Prediction summary

    Final score 2–1. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Odense vs Brøndby (Danish Superliga, Sunday, 18 October 2026): Odense win 41%, draw 26%, Brøndby win 33%. Expected goals (xG): Odense 1.41, Brøndby 1.37. Most likely score: 1-1 (12%). Over 2.5 goals 53%, both teams to score 57%. Double chance: Odense or draw 67%, Brøndby or draw 59%. Prediction updated Saturday, 10 October 2026.

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    Analysis: Odense – Brøndby

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

    Odense heads into their clash against Brøndby with a narrow edge in expected goals and a significant model-backed lean, despite their inferior points total. The model gives the hosts a 41% chance of victory, translating into value bets at 2.92 with Nordicbet and 2.9 at both Betsafe and LeoVegas. With expected goals slightly favoring Odense, their xPoints also suggest they might have been slightly unlucky this season.

    Despite Odense's winless head-to-head record against Brøndby in the past two encounters, that small sample should be weighed less than their current form and underlying performance metrics. Both sides employ a possession-based, high-pressing style, which, coupled with the forecasted rain, might slightly suppress the scoring potential. However, the model still suggests a 53% chance for over 2.5 goals, with a 57% probability of both teams finding the net.

    While the most likely scoreline is 1-1, the hosts appear to have a decent shot at snatching a narrow victory, with a 2-1 or 1-0 result being plausible. The sharpest angle here lies in backing Odense to overcome their marginal underdog status, capitalizing on the market's mispricing.

    OdenseOdense
    Form DLWDD
    League ranking xG #6xGA #10xT #3xP/match #9Points #9
    Key players
    • Jakob BondeCMxG 0.28 · xT 0.13
    • Julius AskouCBxG 0.12 · xT 0.14
    • Rasmus FalkCDMxG 0.11 · xT 0.21
    BrøndbyBrøndby
    Form LLLLW
    League ranking xG #7xGA #6xT #2xP/match #10Points #5
    Key players
    • Marko DivkovicLWBxG 0.02 · xT 0.18
    • Jordi VanlerbergheCBxG 0.07 · xT 0.15
    • Mats KohlertLBxG 0.03 · xT 0.11
    Final score
    2 – 1
    The model called the outcome
    Predicted probabilities: Odense 41% · Draw 26% · Brøndby 33%

    How the bookmaker bet builders went

    The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.

    Matchresultat - Odense BKBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 7,37fair 9,51-23 %
    Miss
    Matchresultat - BrøndbyBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,75fair 10,09-43 %
    Miss

    Match prediction: Odense – Brøndby

    Predicted score matrix

    Brøndby →
    Odense →
    0
    1
    2
    3
    4+
    0
    0–06.6%
    0–18.1%
    0–25.8%
    0–32.7%
    0–4+1.2%
    1
    1–08.4%
    1–112.3%
    1–28.2%
    1–33.7%
    1–4+1.7%
    2
    2–06.2%
    2–18.5%
    2–25.8%
    2–32.6%
    2–4+1.2%
    3
    3–02.9%
    3–14.0%
    3–22.7%
    3–31.2%
    3–4+0.6%
    4+
    4+–01.4%
    4+–11.9%
    4+–21.3%
    4+–30.6%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-18%
    3. 3.1-08%
    4. 4.1-28%
    5. 5.0-18%
    Expected goals
    1,41–1,37
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.32EV+10%
    Over 2,553%
    @1.60

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance Odense or draw (1X)64%
    • Over 1.5 goals77%

    Combined probability

    49%

    Fair odds

    2.04

    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 (1X)64%
    • Over 2.5 goals53%
    • Jakob Bonde Jensen to score23%

    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 goals53%
    • Jakob Bonde Jensen to score23%
    • Wandepanga Ismahila Ouédraogo 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+).

    • 1 · Odense41% probability@2.99PinnacleEV+22%reference odds
    • 1 · Odense41% probability@2.95LeoVegasEV+20%reference odds
    • 1 · Odense41% probability@2.92NordicbetEV+19%reference odds
    Bookmaker1 · OdenseX2 · Brøndby
    Betsafe
    EV+ 18%
    2.90
    3.602.25
    LeoVegas
    EV+ 20%
    2.95
    3.652.30
    Nordicbet
    EV+ 19%
    2.92
    3.652.28
    Pinnacle
    EV+ 22%
    2.99
    EV+ 0%
    3.79
    2.27

    Odds updated 18 Oct, 13:36

    Odds movement

    1+6 %
    35 %30 %

    2.82 → 2.99

    X+3 %
    28 %23 %

    3.67 → 3.79

    2-3 %
    44 %39 %

    2.34 → 2.27

    Pinnacle · 8 recorded price levels · 16/10/2026 → 18/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    2 matches
    Odense 0Draw 0Brøndby 2
    Goals: 2–9 (⌀ 5,5)

    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).

    Odense
    Brøndby
    When goals are scored and conceded — 2026
    Odense (8–14)
    Brøndby (17–17)
    Pass networks

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

    Odense
    Rasmus Falk: 332 passningar, xT 1.06FalkJulius Askou: 300 passningar, xT 0.51AskouJames Gomez: 238 passningar, xT 0.23GomezMarcus Mccoy: 168 passningar, xT 0.18MccoyNikolaj Juul-Sandberg: 167 passningar, xT -0.16Juul-SandbergViljar Myhra: 162 passningar, xT 0.24MyhraMagnus Andersen: 141 passningar, xT 0.23AndersenJulian Pauli: 131 passningar, xT 0.17PauliIsmahila Ouédraogo: 107 passningar, xT 0.08OuédraogoChristian Gammelgaard: 91 passningar, xT 0.39GammelgaardFiete Arp: 85 passningar, xT 0.58Arp
    Brøndby
    Luis Binks: 273 passningar, xT 0.43BinksBartosz Piotr Slisz: 227 passningar, xT 0.71SliszMarko Divkovic: 221 passningar, xT 0.63DivkovicMax Ejdum: 185 passningar, xT 0.09EjdumOliver Villadsen: 181 passningar, xT 0.7VilladsenMads Frøkjær-Jensen: 173 passningar, xT 1.08Frøkjær-JensenPatrick Pentz: 139 passningar, xT 0.11PentzJordi Vanlerberghe: 138 passningar, xT 0.44VanlerbergheFrederik Alves: 123 passningar, xT 0.13AlvesRaphael Canut Pedersen: 84 passningar, xT 0.12PedersenSho Fukuda: 70 passningar, xT 0.3Fukuda
    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
    Rasmus Falk: 332 passningar, xT 1.06FalkJulius Askou: 300 passningar, xT 0.51AskouJames Gomez: 238 passningar, xT 0.23GomezMarcus Mccoy: 168 passningar, xT 0.18MccoyNikolaj Juul-Sandberg: 167 passningar, xT -0.16Juul-SandbergViljar Myhra: 162 passningar, xT 0.24MyhraMagnus Andersen: 141 passningar, xT 0.23AndersenJulian Pauli: 131 passningar, xT 0.17PauliIsmahila Ouédraogo: 107 passningar, xT 0.08OuédraogoChristian Gammelgaard: 91 passningar, xT 0.39GammelgaardFiete Arp: 85 passningar, xT 0.58Arp
    Brøndby
    Luis Binks: 273 passningar, xT 0.43BinksBartosz Piotr Slisz: 227 passningar, xT 0.71SliszMarko Divkovic: 221 passningar, xT 0.63DivkovicMax Ejdum: 185 passningar, xT 0.09EjdumOliver Villadsen: 181 passningar, xT 0.7VilladsenMads Frøkjær-Jensen: 173 passningar, xT 1.08Frøkjær-JensenPatrick Pentz: 139 passningar, xT 0.11PentzJordi Vanlerberghe: 138 passningar, xT 0.44VanlerbergheFrederik Alves: 123 passningar, xT 0.13AlvesRaphael Canut Pedersen: 84 passningar, xT 0.12PedersenSho Fukuda: 70 passningar, xT 0.3Fukuda

    The teams in numbers

    PerformanceOdenseBrøndby
    Points1016
    xPoints12.712.3
    xG per match1.51.4
    xGA per match1.61.4
    xG within 8s of winning the ball0.280.3
    xGA within 8s of losing the ball0.260.31
    Playing styleOdenseBrøndby
    Build-up efficiency0.320.32
    Field tilt0.550.63
    xT per match1.21.3
    xTA per match1.10.95
    Won balls, offensive half2626
    Pressing intensity0.240.23
    Pressing efficiency0.270.31
    Pressing efficiency, offensive half0.230.27
    Entries into the box per match1417
    Entries into the box against1413
    Pass completion %0.790.79
    Pass completion % under pressure0.740.73
    Passes per match436416
    Passes against per match388338
    Switches of play per match24.226
    Long balls per match2931
    Set piecesOdenseBrøndby
    xG from free kicks0.050.14
    Corners per match6.36.3
    Corners against per match64.5
    xG per corner0.010.02
    xGA per corner against0.040.04
    First touch, offensive corners %0.170.25
    First touch, defensive corners %0.650.58
    OtherOdenseBrøndby
    Throw-in control0.720.72
    The goalkeepersViljar Myhra (Odense)Patrick Pentz (Brøndby)
    Saves2225
    Save %63%61%
    xG prevented44%49%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Odense vs Brøndby according to our model?

    The model gives Odense a 41% win probability. Full 1X2 picture: Odense 41%, draw 26%, Brøndby 33%.

    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 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 57% according to the model.

    How many goals are expected in Odense vs Brøndby?

    The model expects 1.41 goals (xG) for Odense and 1.37 for Brøndby, 2.78 in total.

    What does the model say about double chance?

    Odense or draw (1X) 67%, Brøndby or draw (X2) 59% and no draw (12) 74%.

    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.