Danish SuperligaCASA Arena, Horsens18°11,1 mm31 km/h

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    HorsensHorsensLow block & direct
    23
    ViborgViborgCounter-attacks & crosses
    The model's lean: 2 · Viborg (39%)Best value by the model: 1 · Horsens @ 4.50 (+49 %)

    HorsensViborg · Danish Superliga

    1 · Horsens 33%X 28%39% Viborg · 2

    Analysis: HorsensViborg

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

    The head-to-head between Horsens and Viborg might be sparse, but the numbers from their recent campaigns paint a vivid picture. Viborg emerges as the stronger side with 10 points accumulated so far compared to the hosts' 7. This edge is mirrored in the xPoints: 8.5 for Viborg against 4.6 for Horsens. While these figures hint at Viborg's current superiority, the expected goals tell a similar story. Viborg's attack is more potent, averaging 1.4 expected goals per match, whereas Horsens lags behind with just 0.88 xG. On the defensive side, the hosts are leaking goals, conceding an alarming 2.2 expected goals per game compared to Viborg's more robust 1.2.

    The tactical battle will be intriguing given their styles. Horsens leans on a low defensive setup paired with direct play, whereas Viborg thrives on counter-attacks and crossing. This contrast might see Viborg capitalizing on the counter, especially given Horsens' vulnerability at the back. The model suggests a slight edge to Viborg with a 39% probability of securing a win, and the expected goals also lean in their favor, suggesting they are likely to find the net.

    Rain is forecasted for the match, which might typically suppress goal-scoring. However, the model's over 2.5 goals probability remains at 56%, while both teams finding the net is set at 59%. Given the defensive frailties and attacking preferences, a 1-1 draw stands as the most likely outcome at 12%, but a 1-2 scoreline in favor of Viborg is close behind at 9%.

    For those seeking value, betting on a home win might intrigue at odds of 4.45 with Betsson and Nordicbet, or 4.35 with Betsafe, given a model-rated 33% chance and a significant edge. While Viborg looks poised to edge this encounter, the odds on Horsens offer a tempting speculative play.

    HorsensHorsens
    Form DLLWW
    League ranking xG #9xGA #12xT #12xP/match #12Points #6
    Key players
    • Kelvin Osemudiamen EhibhatiomhanFxG 0.42 · xT 0.03
    • Adam HerdonssonFxG 0.03 · xT -0.05
    • Yamirou OuorouRWxG 0.08 · xT 0.22
    ViborgViborg
    Form WLDWW
    League ranking xG #6xGA #5xT #8xP/match #3Points #2
    Key players
    • Oliver BundgaardLWBxG 0.08 · xT 0.16
    • Charly NouckLWxG 0.33 · xT 0.03
    • Thomas JorgensenFxG 0.17 · xT 0.12
    Final score
    23
    The model called the outcome
    Predicted probabilities: Horsens 33% · Draw 28% · Viborg 39%

    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 - AC HorsensBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 12,80fair 9,80+31 %
    Miss
    Matchresultat - ViborgBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,04fair 8,13-38 %
    Hit

    Match prediction: HorsensViborg

    Predicted score matrix

    Viborg
    Horsens
    0
    1
    2
    3
    4+
    0
    0–05.8%
    0–18.0%
    0–26.3%
    0–33.2%
    0–4+1.7%
    1
    1–07.2%
    1–111.9%
    1–28.8%
    1–34.4%
    1–4+2.4%
    2
    2–05.2%
    2–18.0%
    2–26.1%
    2–33.1%
    2–4+1.6%
    3
    3–02.4%
    3–13.7%
    3–22.8%
    3–31.4%
    3–4+0.8%
    4+
    4+–01.1%
    4+–11.7%
    4+–21.3%
    4+–30.7%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.2-18%
    4. 4.0-18%
    5. 5.1-07%
    Expected goals
    1,391,52
    Both teams to score
    59%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @2.25
    Over 2,556%
    @1.68

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Viborg or draw (X2)66%
    • Over 1.5 goals79%

    Combined probability

    52%

    Fair odds

    1.92

    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)66%
    • Over 2.5 goals56%
    • Dorian Junior Hanza Meha 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 score59%
    • Over 2.5 goals56%
    • Kristian Kirkegaard to score28%
    • Jeppe Nørregaard Grønning 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 · Horsens33% probability@4.50PinnacleEV+49%reference odds
    • 1 · Horsens33% probability@4.45BetssonEV+47%reference odds
    • 1 · Horsens33% probability@4.45NordicbetEV+47%reference odds
    Bookmaker1 · HorsensX2 · Viborg
    Betsafe
    EV+ 44%
    4.35
    EV+ 7%
    3.80
    1.75
    Betsson
    EV+ 47%
    4.45
    EV+ 9%
    3.85
    1.75
    Nordicbet
    EV+ 47%
    4.45
    EV+ 9%
    3.85
    1.75
    Pinnacle
    EV+ 49%
    4.50
    EV+ 13%
    3.99
    1.76

    Odds updated 28 Aug, 10:29

    Odds movement

    1+3 %
    24 %19 %

    4.384.50

    X-1 %
    26 %21 %

    4.053.99

    2+3 %
    58 %53 %

    1.711.76

    Over 2,5+2 %
    60 %55 %

    1.661.68

    Pinnacle · 12 recorded price levels · 24/08/2026 → 28/08/2026 · fixed scale 5 percentage points

    Statistics

    xG & xGA per match — 3-game rolling average

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

    Horsens
    Viborg
    When goals are scored and conceded 2026
    Horsens (67)
    Viborg (72)
    Pass networks

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

    Horsens
    Ole Martin Kolskogen: 218 passningar, xT 0.07KolskogenMikkel Kupijbida: 200 passningar, xT 0.22KupijbidaAlagie Saine: 147 passningar, xT 0.35SaineKarlo Lusavec: 145 passningar, xT 0.02LusavecAbdul Moro: 141 passningar, xT 0.11MoroGuðlaugur Victor Pálsson: 141 passningar, xT 0.12PálssonMatej Delac: 135 passningar, xT 0.18DelacJulius Madsen: 101 passningar, xT 0.29MadsenAdam Herdonsson: 96 passningar, xT -0.04HerdonssonKristian Kirkegaard: 61 passningar, xT 0.21KirkegaardYamirou Ouorou: 48 passningar, xT 0.62Ouorou
    Viborg
    Zan Zaletel: 350 passningar, xT 0.45ZaletelLukas Emil Kirkegaard: 327 passningar, xT 0.67KirkegaardJeppe Gronning: 180 passningar, xT 0.27GronningOliver Bundgaard: 158 passningar, xT 0.75BundgaardKasper Hartly Kiilerich: 154 passningar, xT 0.15KiilerichSrdjan Kuzmic: 144 passningar, xT 0.23KuzmicSami Jalal: 86 passningar, xT 0.42JalalAsker Beck: 75 passningar, xT -0.07BeckThomas Jorgensen: 75 passningar, xT 0.06JorgensenCharly Nouck: 48 passningar, xT 0.05NouckMads Sondergaard: 45 passningar, xT 0.08Sondergaard
    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.

    Horsens
    Ole Martin Kolskogen: 218 passningar, xT 0.07KolskogenMikkel Kupijbida: 200 passningar, xT 0.22KupijbidaAlagie Saine: 147 passningar, xT 0.35SaineKarlo Lusavec: 145 passningar, xT 0.02LusavecAbdul Moro: 141 passningar, xT 0.11MoroGuðlaugur Victor Pálsson: 141 passningar, xT 0.12PálssonMatej Delac: 135 passningar, xT 0.18DelacJulius Madsen: 101 passningar, xT 0.29MadsenAdam Herdonsson: 96 passningar, xT -0.04HerdonssonKristian Kirkegaard: 61 passningar, xT 0.21KirkegaardYamirou Ouorou: 48 passningar, xT 0.62Ouorou
    Viborg
    Zan Zaletel: 350 passningar, xT 0.45ZaletelLukas Emil Kirkegaard: 327 passningar, xT 0.67KirkegaardJeppe Gronning: 180 passningar, xT 0.27GronningOliver Bundgaard: 158 passningar, xT 0.75BundgaardKasper Hartly Kiilerich: 154 passningar, xT 0.15KiilerichSrdjan Kuzmic: 144 passningar, xT 0.23KuzmicSami Jalal: 86 passningar, xT 0.42JalalAsker Beck: 75 passningar, xT -0.07BeckThomas Jorgensen: 75 passningar, xT 0.06JorgensenCharly Nouck: 48 passningar, xT 0.05NouckMads Sondergaard: 45 passningar, xT 0.08Sondergaard

    The teams in numbers

    PerformanceHorsensViborg
    Points710
    xPoints4.68.5
    xG per match0.881.4
    xGA per match2.21.2
    xG within 8s of winning the ball0.150.31
    xGA within 8s of losing the ball0.360.27
    Playing styleHorsensViborg
    Build-up efficiency0.320.31
    Field tilt0.270.37
    xT per match0.50.84
    xTA per match1.61
    Won balls, offensive half1924
    Pressing intensity0.250.24
    Pressing efficiency0.250.27
    Pressing efficiency, offensive half0.190.22
    Entries into the box per match812
    Entries into the box against2012
    Pass completion %0.740.77
    Pass completion % under pressure0.690.72
    Passes per match305358
    Passes against per match465419
    Switches of play per match17.727.6
    Long balls per match2732
    Set piecesHorsensViborg
    xG from free kicks0.010.01
    Corners per match2.94.3
    Corners against per match8.67.5
    xG per corner0.030.02
    xGA per corner against0.040.02
    First touch, offensive corners %0.470.29
    First touch, defensive corners %0.610.68
    OtherHorsensViborg
    Throw-in control0.720.64
    The goalkeepersMatej Delac (Horsens)Kasper Hartly Kiilerich (Viborg)
    Saves1818
    Save %78%90%
    xG prevented62%93%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Horsens vs Viborg according to our model?

    The model gives Viborg a 39% win probability. Full 1X2 picture: Horsens 33%, draw 28%, Viborg 39%.

    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 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 59% 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.