Danish SuperligaNature Energy Park, Odense19°15 km/h

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    OdenseOdensePossession & high press
    10
    SønderjyskESønderjyskELow block & direct
    The model's lean: 1 · Odense (50%)Best value by the model: Under 0,5 @ 19.00 (+14 %)

    OdenseSønderjyskE · Danish Superliga

    1 · Odense 50%X 24%26% SønderjyskE · 2

    Analysis: OdenseSønderjyskE

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

    Fifty percent is the magic number as Odense Boldklub stand poised as favourites against Sonderjyske, with the model nodding dutifully in their direction. Yet, the historical dance between these two sides tells a different tale: Odense Boldklub haven't bested Sonderjyske since 2022, managing only a draw and a loss. The tension thickens when you consider their playing styles; Odense's high-octane, possession-heavy approach often collides with Sonderjyske's stubborn, low-block defence, muting the former’s attacking prowess.

    Odense Boldklub enters this fixture with a slight statistical edge in expected goals, averaging 1.7 per match compared to Sonderjyske's 1.3. This suggests the hosts are more capable of engineering chances, especially within eight seconds of possession turnover, where they boast an xG of 0.51. However, Sonderjyske's defensive solidity cannot be overlooked, as their expected goals against per match is a stingy 0.61, further complicating Odense's task.

    Sonderjyske might not inspire confidence with their 26% win probability, but they've proven tricky customers for Odense before. Although the most likely scorelines hint at a tight contest — 1-1 being the favourite followed by a narrow 2-1 win for the hosts — there's a 55% chance that the match sails past the 2.5-goal mark, suggesting a potential for fireworks. And with both teams likely to find the net 57% of the time, a high-scoring draw isn't off the cards.

    Odense Boldklub should find themselves favoured in the eyes of punters, especially with Betfair Exchange offering home odds at 2.3. Given the model’s 50% win probability for Odense, this represents a 15% value edge — a rare find in the betting landscape that shrewd bettors shouldn't ignore. While no outcome is guaranteed, the numbers whisper in favour of a 2-1 home victory, leaning towards an over 2.5 goals scenario.

    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
    SønderjyskESønderjyskE
    Form LWLLL
    League ranking xG #9xGA #6xT #4xP/match #8Points #12
    Key players
    • Sidi Mohamed Cherif HaidaraFxG 0.19 · xT -0.08
    • Sefer EminiCMxG 0.03 · xT 0.14
    • Maxime SoulasRWxG 0.00 · xT 0.13
    Final score
    10
    The model called the outcome
    Predicted probabilities: Odense 50% · Draw 24% · SønderjyskE 26%

    Match prediction: OdenseSønderjyskE

    Predicted score matrix

    SønderjyskE
    Odense
    0
    1
    2
    3
    4+
    0
    0–06.0%
    0–16.3%
    0–23.9%
    0–31.5%
    0–4+0.6%
    1
    1–09.4%
    1–111.6%
    1–26.6%
    1–32.6%
    1–4+1.0%
    2
    2–08.2%
    2–19.6%
    2–25.6%
    2–32.2%
    2–4+0.8%
    3
    3–04.6%
    3–15.4%
    3–23.2%
    3–31.2%
    3–4+0.5%
    4+
    4+–02.9%
    4+–13.4%
    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
    1,701,17
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @2.42EV+10%
    Over 2,555%
    @1.69

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Odense to win50%
    • Over 1.5 goals78%

    Combined probability

    40%

    Fair odds

    2.50

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

    02 · 3 legs

    Balanced

    • Odense to win50%
    • Over 2.5 goals55%
    • Noah Ganaus to score34%

    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%
    • Noah Ganaus to score34%
    • Magnus Riisgaard Jensen to be booked19%

    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+).

    • Under 0.56% probability@19.00Betfair ExchangeEV+14%reference odds
    • Under 1.522% probability@5.20Betfair ExchangeEV+13%reference odds
    • 1 · Odense50% probability@2.26Betfair ExchangeEV+13%reference odds
    Bookmaker1 · OdenseX2 · SønderjyskE
    Betfair Exchange
    EV+ 13%
    2.26
    3.753.35

    Odds updated 3 Aug, 10:09

    Odds movement

    1+12 %
    48 %43 %

    2.022.26

    X-3 %
    28 %23 %

    3.853.75

    2-1 %
    32 %27 %

    3.403.35

    Betfair Exchange · 25 recorded price levels · 27/07/2026 → 03/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    3 matches
    Odense 1Draw 1SønderjyskE 1
    Goals: 22 (⌀ 1,3)

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

    Key facts

    • Sonderjyske have lost 3 in a row.
    xG & xGA per match — 3-game rolling average

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

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

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

    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
    SønderjyskE
    Magnus Jensen: 72 passningar, xT 0.17JensenMaxime Soulas: 64 passningar, xT 0.26SoulasSefer Emini: 58 passningar, xT 0.31EminiDaniel Leo Gretarsson: 51 passningar, xT 0.64GretarssonEbube Duru: 48 passningar, xT 0.2DuruSimon Waever: 45 passningar, xT 0.01WaeverMarcus Bundgaard: 42 passningar, xT 0.11BundgaardSidi Mohamed Cherif Haidara: 40 passningar, xT -0.19HaidaraMatthew Hoppe: 22 passningar, xT 0.01HoppeAlexander Lyng: 18 passningar, xT 0.06LyngAnders Bergholt: 18 passningar, xT -0.03Bergholt
    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: 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
    SønderjyskE
    Magnus Jensen: 72 passningar, xT 0.17JensenMaxime Soulas: 64 passningar, xT 0.26SoulasSefer Emini: 58 passningar, xT 0.31EminiDaniel Leo Gretarsson: 51 passningar, xT 0.64GretarssonEbube Duru: 48 passningar, xT 0.2DuruSimon Waever: 45 passningar, xT 0.01WaeverMarcus Bundgaard: 42 passningar, xT 0.11BundgaardSidi Mohamed Cherif Haidara: 40 passningar, xT -0.19HaidaraMatthew Hoppe: 22 passningar, xT 0.01HoppeAlexander Lyng: 18 passningar, xT 0.06LyngAnders Bergholt: 18 passningar, xT -0.03Bergholt

    The teams in numbers

    PerformanceOdenseSønderjyskE
    Points30
    xPoints3.42.5
    xG per match1.90.93
    xGA per match0.891.3
    xG within 8s of winning the ball0.490.2
    xGA within 8s of losing the ball0.160.29
    Playing styleOdenseSønderjyskE
    Build-up efficiency0.320.31
    Field tilt0.620.42
    xT per match1.41.2
    xTA per match0.710.95
    Won balls, offensive half2725
    Pressing intensity0.210.22
    Pressing efficiency0.370.27
    Pressing efficiency, offensive half0.40.29
    Entries into the box per match1117
    Entries into the box against1010
    Pass completion %0.780.66
    Pass completion % under pressure0.70.6
    Passes per match432266
    Passes against per match311389
    Switches of play per match25.125.8
    Long balls per match2842
    Set piecesOdenseSønderjyskE
    xG from free kicks0.010
    Corners per match8.26.8
    Corners against per match8.25.4
    xG per corner0.010.02
    xGA per corner against0.010.01
    First touch, offensive corners %0.120.36
    First touch, defensive corners %0.690.64
    OtherOdenseSønderjyskE
    Throw-in control0.630.78
    The goalkeepersJulius Askou (Odense)Marcus Bundgaard (SønderjyskE)
    Saves35
    Save %100%63%
    xG prevented100%68%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Odense vs SønderjyskE according to our model?

    The model gives Odense a 50% win probability. Full 1X2 picture: Odense 50%, draw 24%, SønderjyskE 26%.

    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.

    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.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.