Danish SuperligaEnergi Viborg Arena, Viborg

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    ViborgViborgCounter-attacks & crosses
    vs
    HorsensHorsensPossession control
    The model's lean: 1 · Viborg (60%)

    Viborg vs Horsens · Danish Superliga

    1 · Viborg 60%X 22%18% Horsens · 2

    Prediction summary

    BetBuilders AI model prediction for Viborg vs Horsens (Danish Superliga, Sunday, 1 November 2026): Viborg win 60%, draw 22%, Horsens win 18%. Expected goals (xG): Viborg 2.06, Horsens 1.10. Most likely score: 1-1 (10%). Over 2.5 goals 61%, both teams to score 59%. Double chance: Viborg or draw 82%, Horsens or draw 40%. Prediction updated Saturday, 24 October 2026.

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    Analysis: Viborg – Horsens

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    The hosts assumption and bookmaker odds claim are not supported by the given facts.

    With Viborg holding a 60% chance to secure victory against Horsens, they are well-positioned to assert their dominance. Viborg's playing style, which emphasizes counter-attacks and crosses, contrasts sharply with Horsens' focus on possession control. This strategic difference is likely to shape the game's flow, with Viborg exploiting defensive gaps on the break while Horsens looks to dictate the tempo.

    The numbers heavily favor Viborg. Their expected goals (xG) stand at 2.06 compared to Horsens' 1.10, indicating a clear offensive edge. Defensively, Viborg also has the upper hand, with an expected goals against (xGA) of 1.2 versus Horsens' more porous 1.9. In a small head-to-head sample, Viborg has already bested Horsens once, but this single encounter is less telling than their consistent performance metrics this season.

    While the model suggests a 61% chance of over 2.5 goals and a 59% likelihood of both teams finding the net, the most probable scorelines—1-1 and 2-1—hint at a competitive yet slightly restrained affair. Viborg's defensive discipline could see them keeping Horsens at bay, nudging the game toward a likely 2-1 or 2-0 outcome. Though the prospect of over 2.5 goals is tempting for bettors, the tactical setup might lead to a more conservative goal count.

    Given the model's probabilities, there is decent value in backing Viborg to win. The underlying metrics reflect the disparity in quality and form, making a straightforward Viborg victory an attractive play for those prioritizing solid returns over speculative wagers.

    ViborgViborg
    Form LDWWL
    League ranking xG #5xGA #2xT #4xP/match #2Points #3
    Key players
    • Oliver BundgaardLWBxG 0.13 · xT 0.15
    • Lukas KirkegaardCBxG 0.05 · xT 0.14
    • Charly NouckLWxG 0.30 · xT 0.25
    HorsensHorsens
    Form WLDDD
    League ranking xG #9xGA #12xT #11xP/match #12Points #6
    Key players
    • Ivan MilicevicLBxG 0.07 · xT 0.25
    • Alagie SaineLBxG 0.17 · xT 0.11
    • Yamirou OuorouRWxG 0.24 · xT 0.12

    Match prediction: Viborg – Horsens

    Predicted score matrix

    Horsens →
    Viborg →
    0
    1
    2
    3
    4+
    0
    0–04.5%
    0–14.4%
    0–22.6%
    0–30.9%
    0–4+0.3%
    1
    1–08.5%
    1–19.9%
    1–25.3%
    1–31.9%
    1–4+0.7%
    2
    2–09.0%
    2–19.9%
    2–25.5%
    2–32.0%
    2–4+0.7%
    3
    3–06.2%
    3–16.8%
    3–23.7%
    3–31.4%
    3–4+0.5%
    4+
    4+–05.1%
    4+–15.6%
    4+–23.1%
    4+–31.1%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-110%
    3. 3.2-09%
    4. 4.1-08%
    5. 5.3-17%
    Expected goals
    2,06–1,10
    Both teams to score
    59%

    Over/under goals

    Expected goals: 3,2
    Under 2,539%
    –
    Over 2,561%
    –

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    01 · 2 legs

    Safe

    • Viborg to win60%
    • Over 1.5 goals83%

    Combined probability

    51%

    Fair odds

    1.98

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

    02 · 3 legs

    Balanced

    • Viborg to win60%
    • Over 2.5 goals61%
    • Dorian Junior Hanza Meha to score29%

    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 goals61%
    • Dorian Junior Hanza Meha to score29%
    • Alagie Saine 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

    No odds available yet.

    Statistics

    Head-to-head

    1 matches
    Viborg 1Draw 0Horsens 0
    Goals: 3–2 (⌀ 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).

    Viborg
    Horsens
    When goals are scored and conceded — 2026
    Viborg (18–10)
    Horsens (18–19)
    Pass networks

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

    Viborg
    Lukas Kirkegaard: 340 passningar, xT 0.58KirkegaardOliver Bundgaard: 220 passningar, xT 0.57BundgaardDaniel Anyembe: 219 passningar, xT 0.12AnyembeJeppe Gronning: 215 passningar, xT 0.35GronningHjalte Bidstrup: 190 passningar, xT 1.03BidstrupAsker Beck: 168 passningar, xT 0.55BeckZan Zaletel: 163 passningar, xT 0.07ZaletelKasper Kiilerich: 127 passningar, xT 0.05KiilerichSami Jalal: 114 passningar, xT 0.6JalalMads Sondergaard: 91 passningar, xT 0.4SondergaardCharly Nouck: 61 passningar, xT 1.08Nouck
    Horsens
    Mikkel Kupijbida: 295 passningar, xT 0.46KupijbidaAlagie Saine: 267 passningar, xT 0.52SaineKarlo Lusavec: 244 passningar, xT 0.23LusavecVictor Pálsson: 226 passningar, xT 0.95PálssonAbdul Moro: 200 passningar, xT 0.12MoroMatej Delac: 128 passningar, xT 0.1DelacOle Martin Kolskogen: 128 passningar, xT 0.16KolskogenIvan Milicevic: 105 passningar, xT 0.84MilicevicAdam Herdonsson: 96 passningar, xT 0.55HerdonssonAdrian Justinussen: 88 passningar, xT -0.04JustinussenJulius Madsen: 84 passningar, xT 0.58Madsen
    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.

    Viborg
    Lukas Kirkegaard: 340 passningar, xT 0.58KirkegaardOliver Bundgaard: 220 passningar, xT 0.57BundgaardDaniel Anyembe: 219 passningar, xT 0.12AnyembeJeppe Gronning: 215 passningar, xT 0.35GronningHjalte Bidstrup: 190 passningar, xT 1.03BidstrupAsker Beck: 168 passningar, xT 0.55BeckZan Zaletel: 163 passningar, xT 0.07ZaletelKasper Kiilerich: 127 passningar, xT 0.05KiilerichSami Jalal: 114 passningar, xT 0.6JalalMads Sondergaard: 91 passningar, xT 0.4SondergaardCharly Nouck: 61 passningar, xT 1.08Nouck
    Horsens
    Mikkel Kupijbida: 295 passningar, xT 0.46KupijbidaAlagie Saine: 267 passningar, xT 0.52SaineKarlo Lusavec: 244 passningar, xT 0.23LusavecVictor Pálsson: 226 passningar, xT 0.95PálssonAbdul Moro: 200 passningar, xT 0.12MoroMatej Delac: 128 passningar, xT 0.1DelacOle Martin Kolskogen: 128 passningar, xT 0.16KolskogenIvan Milicevic: 105 passningar, xT 0.84MilicevicAdam Herdonsson: 96 passningar, xT 0.55HerdonssonAdrian Justinussen: 88 passningar, xT -0.04JustinussenJulius Madsen: 84 passningar, xT 0.58Madsen

    The teams in numbers

    PerformanceViborgHorsens
    Points2013
    xPoints18.512
    xG per match1.61.2
    xGA per match1.21.9
    xG within 8s of winning the ball0.30.27
    xGA within 8s of losing the ball0.270.24
    Playing styleViborgHorsens
    Build-up efficiency0.310.32
    Field tilt0.460.4
    xT per match1.20.76
    xTA per match0.931.3
    Won balls, offensive half2323
    Pressing intensity0.230.24
    Pressing efficiency0.270.27
    Pressing efficiency, offensive half0.220.21
    Entries into the box per match149
    Entries into the box against1216
    Pass completion %0.780.77
    Pass completion % under pressure0.750.72
    Passes per match384369
    Passes against per match410412
    Switches of play per match31.124.3
    Long balls per match3231
    Set piecesViborgHorsens
    xG from free kicks0.050.07
    Corners per match53.1
    Corners against per match5.66.6
    xG per corner0.030.04
    xGA per corner against0.020.03
    First touch, offensive corners %0.30.41
    First touch, defensive corners %0.640.67
    OtherViborgHorsens
    Throw-in control0.710.75
    The goalkeepersKasper Kiilerich (Viborg)Matej Delac (Horsens)
    Saves3435
    Save %77%67%
    xG prevented55%57%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Viborg vs Horsens according to our model?

    The model gives Viborg a 60% win probability. Full 1X2 picture: Viborg 60%, draw 22%, Horsens 18%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 10% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 61% and under at 39%.

    Will both teams score?

    The probability of both teams scoring is 59% according to the model.

    How many goals are expected in Viborg vs Horsens?

    The model expects 2.06 goals (xG) for Viborg and 1.10 for Horsens, 3.16 in total.

    What does the model say about double chance?

    Viborg or draw (1X) 82%, Horsens or draw (X2) 40% and no draw (12) 78%.

    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.