Danish SuperligaCepheus Park, Randers16°19 km/h

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    RandersRandersLow block & direct
    vs
    OdenseOdensePossession & high press
    The model's lean: 2 · Odense (41%)

    RandersOdense · Danish Superliga

    1 · Randers 30%X 29%41% Odense · 2

    Analysis: RandersOdense

    Marcus Johansson · · Analysis from the match model · How the predictions work

    Randers have struggled to find the back of the net this season, averaging just 0.78 expected goals per match. In contrast, Odense Boldklub are generating 1.6 expected goals per game, highlighting a significant offensive advantage. While the points table shows Randers with a slight edge, boasting 10 points to Odense's 5, the expected points tell a different story, favoring the visitors with 8.9 xPoints compared to the hosts' 8.2.

    The tactical clash is intriguing: Randers' strategy relies on a low defensive block and direct play, which will be put to the test against Odense's possession-oriented approach and high pressing. The visitors have had the upper hand in the small head-to-head sample since 2022, remaining unbeaten with two draws and two wins. Yet, with only four matches in that sample, this historical trend weighs less than current form and expected goals.

    Model probabilities lean towards an Odense victory at 41%, and the most likely scorelines suggest a close contest, with 1-1 at 13% and 0-1 at 10%. The weather might suppress goal-scoring opportunities slightly, with 9.0 mm of rain expected, but this has already been factored into the model's numbers where the over/under line sits at an ambivalent 49% for over 2.5 goals. Both teams to score is slightly more likely at 54%.

    The sharpest angle here is the potential value on an away win. With Betsson, Nordicbet, and Betsafe offering odds of 2.88 and 2.85, there's an estimated 17-18% edge compared to the model's assessment, making Odense an enticing bet. As the home side wrestles with offensive inefficiencies and the visitors bring a more effective attacking game, an Odense victory, likely 0-1 or 1-2, stands out as the plausible outcome.

    RandersRanders
    Form WLLWW
    League ranking xG #12xGA #8xT #10xP/match #10Points #7
    Key players
    • Mike ThemsenRWxG 0.20 · xT 0.08
    • Mohamed Ortaim SankohFxG 0.30 · xT -0.09
    • Elies MahmoudCAMxG 0.15 · xT 0.11
    OdenseOdense
    Form LLDDL
    League ranking xG #5xGA #9xT #4xP/match #8Points #10
    Key players
    • Alexander Gustav Kent Ahl-HolmströmFxG 0.71 · xT 0.19
    • Fiete ArpCAMxG 0.21 · xT 0.16
    • Rasmus FalkCMxG 0.14 · xT 0.27

    Match prediction: RandersOdense

    Predicted score matrix

    Odense
    Randers
    0
    1
    2
    3
    4+
    0
    0–07.5%
    0–19.6%
    0–27.0%
    0–33.3%
    0–4+1.6%
    1
    1–08.5%
    1–112.7%
    1–28.7%
    1–34.1%
    1–4+1.9%
    2
    2–05.5%
    2–17.7%
    2–25.4%
    2–32.5%
    2–4+1.2%
    3
    3–02.3%
    3–13.2%
    3–22.2%
    3–31.0%
    3–4+0.5%
    4+
    4+–00.9%
    4+–11.3%
    4+–20.9%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-110%
    3. 3.1-29%
    4. 4.1-08%
    5. 5.2-18%
    Expected goals
    1,241,40
    Both teams to score
    54%

    Over/under goals

    Expected goals: 2,6
    Under 2,551%
    @2.16EV+8%
    Over 2,549%
    @1.70

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Odense or draw (X2)67%
    • Under 3.5 goals73%

    Combined probability

    49%

    Fair odds

    2.05

    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)67%
    • Under 2.5 goals51%
    • Noah Ganaus to score25%

    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 score54%
    • Over 2.5 goals49%
    • Noah Ganaus to score25%
    • Julius Berthel Askou Harvey 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 2 · Odense41% probability@3.25PinnacleEV+33%reference odds
    • 2 · Odense41% probability@3.10BetssonEV+27%reference odds
    • 2 · Odense41% probability@3.10NordicbetEV+27%reference odds
    Bookmaker1 · RandersX2 · Odense
    Betsafe2.18
    EV+ 6%
    3.65
    EV+ 25%
    3.05
    Betsson2.20
    EV+ 6%
    3.65
    EV+ 27%
    3.10
    Nordicbet2.20
    EV+ 6%
    3.65
    EV+ 27%
    3.10
    Paddy Power2.203.40
    EV+ 14%
    2.80
    Pinnacle2.14
    EV+ 4%
    3.58
    EV+ 33%
    3.25

    Odds updated 11 Sept, 16:33

    Odds movement

    Market signal

    The market has moved clearly towards a Randers win since 7 September — the odds have shortened from 2.49 to 2.14 (−14%).

    1-14 %
    46 %36 %

    2.492.14

    X+1 %
    32 %22 %

    3.553.58

    2+20 %
    37 %27 %

    2.703.25

    Over 2,5+3 %
    62 %52 %

    1.661.70

    Pinnacle · 9 recorded price levels · 07/09/2026 → 11/09/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    4 matches
    Randers 0Draw 2Odense 2
    Goals: 58 (⌀ 3,2)

    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).

    Randers
    Odense
    When goals are scored and conceded 2026
    Randers (88)
    Odense (512)
    Pass networks

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

    Randers
    Daniel Hoegh: 218 passningar, xT 0.47HoeghWessel Dammers: 160 passningar, xT 0.19DammersElies Mahmoud: 138 passningar, xT 0.3MahmoudLaurits Pedersen: 128 passningar, xT 0.09PedersenMike Themsen: 116 passningar, xT 0.23ThemsenMathias Greve: 116 passningar, xT -0.03GreveSabil Hansen: 113 passningar, xT 0.43HansenNikolas Dyhr: 100 passningar, xT 0.4DyhrFrederik Lauenborg: 73 passningar, xT 0.04LauenborgMartin André Sjølstad: 71 passningar, xT 0.1Sjølstad Jannich Storch: 55 passningar, xT 0.05Storch
    Odense
    Rasmus Falk: 309 passningar, xT 1.11FalkJames Gomez: 297 passningar, xT 0.28GomezJulius Askou: 273 passningar, xT 0.57AskouIsmahila Ouédraogo: 200 passningar, xT 0.25OuédraogoMarcus Mccoy: 186 passningar, xT 0.34MccoyViljar Myhra: 151 passningar, xT 0.21MyhraUlrik Yttergård Jenssen: 101 passningar, xT 0.2JenssenPeter Nysted Therkildsen: 86 passningar, xT 0.44TherkildsenMagnus Andersen: 78 passningar, xT 0.29AndersenTopi Keskinen: 76 passningar, xT 0.43KeskinenChristian Gammelgaard: 73 passningar, xT 0.54Gammelgaard
    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.

    Randers
    Daniel Hoegh: 218 passningar, xT 0.47HoeghWessel Dammers: 160 passningar, xT 0.19DammersElies Mahmoud: 138 passningar, xT 0.3MahmoudLaurits Pedersen: 128 passningar, xT 0.09PedersenMike Themsen: 116 passningar, xT 0.23ThemsenMathias Greve: 116 passningar, xT -0.03GreveSabil Hansen: 113 passningar, xT 0.43HansenNikolas Dyhr: 100 passningar, xT 0.4DyhrFrederik Lauenborg: 73 passningar, xT 0.04LauenborgMartin André Sjølstad: 71 passningar, xT 0.1Sjølstad Jannich Storch: 55 passningar, xT 0.05Storch
    Odense
    Rasmus Falk: 309 passningar, xT 1.11FalkJames Gomez: 297 passningar, xT 0.28GomezJulius Askou: 273 passningar, xT 0.57AskouIsmahila Ouédraogo: 200 passningar, xT 0.25OuédraogoMarcus Mccoy: 186 passningar, xT 0.34MccoyViljar Myhra: 151 passningar, xT 0.21MyhraUlrik Yttergård Jenssen: 101 passningar, xT 0.2JenssenPeter Nysted Therkildsen: 86 passningar, xT 0.44TherkildsenMagnus Andersen: 78 passningar, xT 0.29AndersenTopi Keskinen: 76 passningar, xT 0.43KeskinenChristian Gammelgaard: 73 passningar, xT 0.54Gammelgaard

    The teams in numbers

    PerformanceRandersOdense
    Points105
    xPoints8.28.9
    xG per match0.781.6
    xGA per match1.51.5
    xG within 8s of winning the ball0.170.33
    xGA within 8s of losing the ball0.190.23
    Playing styleRandersOdense
    Build-up efficiency0.310.32
    Field tilt0.380.51
    xT per match0.681.4
    xTA per match1.41
    Won balls, offensive half2326
    Pressing intensity0.260.24
    Pressing efficiency0.290.27
    Pressing efficiency, offensive half0.190.23
    Entries into the box per match1013
    Entries into the box against1915
    Pass completion %0.750.79
    Pass completion % under pressure0.690.73
    Passes per match329427
    Passes against per match482387
    Switches of play per match21.225.2
    Long balls per match2830
    Set piecesRandersOdense
    xG from free kicks0.010.02
    Corners per match4.25.7
    Corners against per match7.76.6
    xG per corner0.010.01
    xGA per corner against0.020.03
    First touch, offensive corners %0.380.2
    First touch, defensive corners %0.670.63
    OtherRandersOdense
    Throw-in control0.710.7
    The goalkeepers Jannich Storch (Randers)Viljar Myhra (Odense)
    Saves1813
    Save %72%54%
    xG prevented62%28%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Randers vs Odense according to our model?

    The model gives Odense a 41% win probability. Full 1X2 picture: Randers 30%, draw 29%, Odense 41%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 49% and under at 51%.

    Will both teams score?

    The probability of both teams scoring is 54% 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.