Danish SuperligaSydbank Park, Haderslev17°24 km/h

    Läs på svenska
    SønderjyskESønderjyskELow block & direct
    00
    ViborgViborgCounter-attacks & crosses
    The model's lean: 2 · Viborg (41%)Best value by the model: 1 · SønderjyskE @ 3.51 (+17 %)

    SønderjyskEViborg · Danish Superliga

    1 · SønderjyskE 33%X 25%41% Viborg · 2

    Analysis: SønderjyskEViborg

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

    Three consecutive losses haunt Sonderjyske as they prepare to face a Viborg side that has shown a knack for capitalising on counter-attacks. With Viborg's slight edge in both points (3 to 0) and expected points (3.1 to 2.5), the pendulum swings towards the visitors. The expected goals tally further underscores this tilt, with Viborg at 1.75 compared to Sonderjyske's 1.44, suggesting the visitors are more likely to find the back of the net.

    Sonderjyske's recent run of form — or lack thereof — doesn't inspire much confidence. Their defence has been shaky, allowing 1.3 expected goals against per match, making them vulnerable to Viborg's cross-heavy attack. However, Viborg's defensive frailties shouldn't be overlooked either, with an xGA of 1.6, leaving room for Sonderjyske to exploit any missteps.

    The head-to-head record since 2022 is narrow and offers only a faint whisper of insight — just four meetings, with Viborg edging it at 2-1-1. The scorelines that top the models' list are telling: 1-1 (11%) and 1-2 (9%) are both plausible, yet the 62% chance of over 2.5 goals hints at a game that could open up, especially if either side goes behind early.

    The weather isn't expected to play spoilsport, allowing the likelihood of goals to remain intact. With a 63% chance of both teams scoring, the match could easily tip over 2.5 goals. For the value seekers, Paddy Power offers an intriguing proposition: over 4.5 goals at odds of 4.8, with a 4% edge based on the model's 22% rating. While more speculative, it’s an angle worth considering for those who fancy a punt on a high-scoring affair.

    In conclusion, the numbers suggest Viborg holds the upper hand, and a 1-2 scoreline seems the most likely. But for those looking for value, keeping an eye on the goals market might just pay dividends.

    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
    ViborgViborg
    Form DLLWL
    League ranking xG #5xGA #7xT #7xP/match #4Points #5
    Key players
    • Thomas JorgensenFxG 0.25 · xT 0.20
    • Dorian HanzaFxG 0.36 · xT 0.02
    • Oliver BundgaardLWBxG 0.06 · xT 0.06
    Final score
    00
    The model missed the outcome
    Predicted probabilities: SønderjyskE 33% · Draw 25% · Viborg 41%

    Match prediction: SønderjyskEViborg

    Predicted score matrix

    Viborg
    SønderjyskE
    0
    1
    2
    3
    4+
    0
    0–04.4%
    0–17.0%
    0–26.3%
    0–33.7%
    0–4+2.4%
    1
    1–05.7%
    1–110.7%
    1–29.1%
    1–35.3%
    1–4+3.4%
    2
    2–04.3%
    2–17.5%
    2–26.5%
    2–33.8%
    2–4+2.5%
    3
    3–02.0%
    3–13.6%
    3–23.1%
    3–31.8%
    3–4+1.2%
    4+
    4+–01.0%
    4+–11.8%
    4+–21.5%
    4+–30.9%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-111%
    2. 2.1-29%
    3. 3.2-17%
    4. 4.0-17%
    5. 5.2-27%
    Expected goals
    1,441,75
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,2
    Under 2,538%
    @2.25
    Over 2,562%
    @1.57

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Viborg or draw (X2)69%
    • Over 1.5 goals83%

    Combined probability

    57%

    Fair odds

    1.75

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

    02 · 3 legs

    Balanced

    • Double chance Viborg or draw (X2)69%
    • Over 2.5 goals62%
    • Dorian Junior Hanza Meha to score30%

    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 score63%
    • Over 2.5 goals62%
    • Dorian Junior Hanza Meha to score30%
    • Jeppe Nørregaard Grønning 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+).

    • 1 · SønderjyskE33% probability@3.51PinnacleEV+17%reference odds
    • Over 4.522% probability@4.80Paddy PowerEV+4%reference odds
    • X · Draw25% probability@4.08PinnacleEV+3%reference odds
    Bookmaker1 · SønderjyskEX2 · Viborg
    Betfair Exchange2.963.802.28
    Paddy Power2.803.602.15
    Pinnacle
    EV+ 17%
    3.51
    EV+ 3%
    4.08
    1.96

    Odds updated 7 Aug, 10:09

    Odds movement

    Market signal

    The market has moved clearly towards an Viborg win since 4 August — the odds have shortened from 2.19 to 1.96 (−10%).

    1+15 %
    34 %24 %

    3.063.51

    X+10 %
    30 %20 %

    3.714.08

    2-10 %
    51 %41 %

    2.191.96

    Pinnacle · 12 recorded price levels · 04/08/2026 → 07/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    4 matches
    SønderjyskE 1Draw 1Viborg 2
    Goals: 35 (⌀ 2)

    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).

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

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

    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
    Viborg
    Zan Zaletel: 127 passningar, xT 0.07ZaletelLukas Emil Kirkegaard: 116 passningar, xT 0.2KirkegaardKasper Hartly Kiilerich: 71 passningar, xT 0.07KiilerichOliver Bundgaard: 55 passningar, xT 0.11BundgaardSrdjan Kuzmic: 54 passningar, xT 0.09KuzmicJeppe Gronning: 52 passningar, xT 0.08GronningThomas Jorgensen: 29 passningar, xT 0.03JorgensenAsker Beck: 22 passningar, xT 0.01BeckBilal Brahimi: 20 passningar, xT -0.03BrahimiSami Jalal: 18 passningar, xT 0.13JalalCharly Nouck: 14 passningar, xT 0.05Nouck
    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.

    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
    Viborg
    Zan Zaletel: 127 passningar, xT 0.07ZaletelLukas Emil Kirkegaard: 116 passningar, xT 0.2KirkegaardKasper Hartly Kiilerich: 71 passningar, xT 0.07KiilerichOliver Bundgaard: 55 passningar, xT 0.11BundgaardSrdjan Kuzmic: 54 passningar, xT 0.09KuzmicJeppe Gronning: 52 passningar, xT 0.08GronningThomas Jorgensen: 29 passningar, xT 0.03JorgensenAsker Beck: 22 passningar, xT 0.01BeckBilal Brahimi: 20 passningar, xT -0.03BrahimiSami Jalal: 18 passningar, xT 0.13JalalCharly Nouck: 14 passningar, xT 0.05Nouck

    The teams in numbers

    PerformanceSønderjyskEViborg
    Points03
    xPoints2.53.1
    xG per match0.931.5
    xGA per match1.31.6
    xG within 8s of winning the ball0.20.22
    xGA within 8s of losing the ball0.290.47
    Playing styleSønderjyskEViborg
    Build-up efficiency0.310.31
    Field tilt0.420.3
    xT per match1.20.95
    xTA per match0.951.5
    Won balls, offensive half2525
    Pressing intensity0.220.25
    Pressing efficiency0.270.32
    Pressing efficiency, offensive half0.290.37
    Entries into the box per match1711
    Entries into the box against1013
    Pass completion %0.660.74
    Pass completion % under pressure0.60.66
    Passes per match266315
    Passes against per match389409
    Switches of play per match25.820.5
    Long balls per match4229
    Set piecesSønderjyskEViborg
    xG from free kicks00
    Corners per match6.85.1
    Corners against per match5.48.7
    xG per corner0.020.01
    xGA per corner against0.010.01
    First touch, offensive corners %0.360.4
    First touch, defensive corners %0.640.76
    OtherSønderjyskEViborg
    Throw-in control0.780.62
    The goalkeepersMarcus Bundgaard (SønderjyskE)Kasper Hartly Kiilerich (Viborg)
    Saves59
    Save %63%90%
    xG prevented68%93%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins SønderjyskE vs Viborg according to our model?

    The model gives Viborg a 41% win probability. Full 1X2 picture: SønderjyskE 33%, draw 25%, Viborg 41%.

    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 62% and under at 38%.

    Will both teams score?

    The probability of both teams scoring is 63% 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.