Danish SuperligaCeres Park, Aarhus10°17,2 mm54 km/h

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    AGFAGFPossession & high press
    vs
    ViborgViborgCounter-attacks & crosses
    The model's lean: 1 · AGF (40%)Best value by the model: Under 2,5 @ 2.30 (+5 %)

    AGF vs Viborg · Danish Superliga

    1 · AGF 40%X 26%34% Viborg · 2

    Prediction summary

    BetBuilders AI model prediction for AGF vs Viborg (Danish Superliga, Sunday, 25 October 2026): AGF win 40%, draw 26%, Viborg win 34%. Expected goals (xG): AGF 1.49, Viborg 1.36. Most likely score: 1-1 (12%). Over 2.5 goals 54%, both teams to score 58%. Double chance: AGF or draw 66%, Viborg or draw 60%. Prediction updated Saturday, 17 October 2026.

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    Analysis: AGF – Viborg

    Anna Karlsson · · A data-driven preview · How the predictions work

    Four wins to one in seven encounters paint a picture of AGF's historical control over Viborg in this matchup. Yet, as the two sides prepare to clash again, it's crucial to note that the visitors have had the upper hand in the broader context of the current season, amassing 20 points to the hosts' 9. The head-to-head sample size remains small, and while past dominance is significant, it doesn't fully capture AGF's underwhelming form this campaign.

    AGF's model-backed probability leads at 40%, but Viborg is close behind at 34%. This narrow margin highlights a tight contest, further complicated by the hosts' aggressive possession play clashing with Viborg's effective counter-attacking and cross-heavy strategies. Despite AGF's historically high-scoring meetings with Viborg—averaging 4.0 goals per fixture—current expected goals suggest a more subdued affair, with AGF at 1.49 and Viborg at 1.36.

    Weather conditions are set to influence proceedings, with nearly 17.2 mm of rain potentially stifling open play and goal-scoring chances. This damp forecast is integrated into the models, which anticipate a slight lean towards under 2.5 goals. Both teams have shown a propensity to concede: AGF averages 1.6 xGA per match, while Viborg is slightly tighter at 1.2.

    For bettors, the sharpest angle may lie in the value found on the under. LeoVegas offers odds of 2.3 on under 2.5 goals, presenting a 5% edge according to the model's 46% rating. Alternatively, Betsafe's 2.28 odds also provide a tempting 4% edge. While AGF's historical edge cannot be dismissed, the conditions and Viborg's current form suggest a more cautious approach might be prudent, with 1-1 emerging as the most likely scoreline.

    AGFAGF
    Form DLDWD
    League ranking xG #6xGA #8xT #8xP/match #8Points #10
    Key players
    • Kristian ArnstadCAMxG 0.23 · xT 0.10
    • Frederik EmmeryLWxG 0.12 · xT 0.27
    • Frederik TingagerCBxG 0.09 · xT 0.12
    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

    Match prediction: AGF – Viborg

    Predicted score matrix

    Viborg →
    AGF →
    0
    1
    2
    3
    4+
    0
    0–06.1%
    0–17.5%
    0–25.4%
    0–32.4%
    0–4+1.1%
    1
    1–08.2%
    1–112.1%
    1–28.0%
    1–33.6%
    1–4+1.7%
    2
    2–06.4%
    2–18.7%
    2–25.9%
    2–32.7%
    2–4+1.2%
    3
    3–03.2%
    3–14.3%
    3–23.0%
    3–31.3%
    3–4+0.6%
    4+
    4+–01.7%
    4+–12.3%
    4+–21.5%
    4+–30.7%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.2-19%
    3. 3.1-08%
    4. 4.1-28%
    5. 5.0-18%
    Expected goals
    1,49–1,36
    Both teams to score
    58%

    Over/under goals

    Expected goals: 2,9
    Under 2,546%
    @2.30EV+4%
    Over 2,554%
    @1.60

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Double chance AGF or draw (1X)66%
    • Over 1.5 goals78%

    Combined probability

    51%

    Fair odds

    1.95

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

    02 · 3 legs

    Balanced

    • Double chance AGF or draw (1X)66%
    • Over 2.5 goals54%
    • Sebastian Vinther Jørgensen 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 score58%
    • Over 2.5 goals54%
    • Sebastian Vinther Jørgensen to score23%
    • 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+).

    • Under 2.546% probability@2.30LeoVegasEV+5%reference odds
    • Under 3.568% probability@1.53LeoVegasEV+4%reference odds
    • Under 2.546% probability@2.28BetsafeEV+4%reference odds
    Bookmaker1 · AGFX2 · Viborg
    Betsafe2.423.502.75
    LeoVegas2.403.652.80
    Nordicbet2.453.502.78
    Pinnacle2.423.652.73

    Odds updated 24 Oct, 08:22

    Odds movement

    10 %
    42 %37 %

    2.42 → 2.42

    X0 %
    29 %24 %

    3.65 → 3.65

    20 %
    37 %32 %

    2.73 → 2.73

    Pinnacle · 2 recorded price levels · 23/10/2026 → 24/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    7 matches
    AGF 4Draw 2Viborg 1
    Goals: 18–10 (⌀ 4)

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

    Key facts

    • AGF Aarhus dominate this fixture historically: 4 wins to 1 in 7 meetings.
    • A high-scoring fixture: 4.0 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    AGF
    Viborg
    When goals are scored and conceded — 2026
    AGF (15–18)
    Viborg (18–10)
    Pass networks

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

    AGF
    Kristian Arnstad: 236 passningar, xT 0.49ArnstadDaniel Leo Gretarsson: 212 passningar, xT 0.21GretarssonMagnus Knudsen: 197 passningar, xT 0.14KnudsenTobias Molgaard: 166 passningar, xT 0.17MolgaardFrederik Tingager: 140 passningar, xT 0.08TingagerEric Kahl: 136 passningar, xT 0.48KahlRasmus Carstensen: 131 passningar, xT 0.09CarstensenColin Rösler: 121 passningar, xT 0.14RöslerMikael Anderson: 111 passningar, xT 0.25AndersonLuka Callo: 98 passningar, xT 0.03CalloMads Hedenstad Christiansen: 82 passningar, xT 0.07Christiansen
    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
    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.

    AGF
    Kristian Arnstad: 236 passningar, xT 0.49ArnstadDaniel Leo Gretarsson: 212 passningar, xT 0.21GretarssonMagnus Knudsen: 197 passningar, xT 0.14KnudsenTobias Molgaard: 166 passningar, xT 0.17MolgaardFrederik Tingager: 140 passningar, xT 0.08TingagerEric Kahl: 136 passningar, xT 0.48KahlRasmus Carstensen: 131 passningar, xT 0.09CarstensenColin Rösler: 121 passningar, xT 0.14RöslerMikael Anderson: 111 passningar, xT 0.25AndersonLuka Callo: 98 passningar, xT 0.03CalloMads Hedenstad Christiansen: 82 passningar, xT 0.07Christiansen
    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

    The teams in numbers

    PerformanceAGFViborg
    Points920
    xPoints13.918.5
    xG per match1.51.6
    xGA per match1.61.2
    xG within 8s of winning the ball0.310.3
    xGA within 8s of losing the ball0.270.27
    Playing styleAGFViborg
    Build-up efficiency0.310.31
    Field tilt0.570.46
    xT per match11.2
    xTA per match10.93
    Won balls, offensive half2423
    Pressing intensity0.240.23
    Pressing efficiency0.280.27
    Pressing efficiency, offensive half0.260.22
    Entries into the box per match1514
    Entries into the box against1312
    Pass completion %0.780.78
    Pass completion % under pressure0.710.75
    Passes per match419384
    Passes against per match323410
    Switches of play per match22.531.1
    Long balls per match2632
    Set piecesAGFViborg
    xG from free kicks0.050.05
    Corners per match6.25
    Corners against per match4.15.6
    xG per corner0.030.03
    xGA per corner against0.040.02
    First touch, offensive corners %0.290.3
    First touch, defensive corners %0.60.64
    OtherAGFViborg
    Throw-in control0.720.71
    The goalkeepersMads Hedenstad Christiansen (AGF)Kasper Kiilerich (Viborg)
    Saves1934
    Save %58%77%
    xG prevented39%55%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins AGF vs Viborg according to our model?

    The model gives AGF a 40% win probability. Full 1X2 picture: AGF 40%, draw 26%, Viborg 34%.

    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 54% and under at 46%.

    Will both teams score?

    The probability of both teams scoring is 58% according to the model.

    How many goals are expected in AGF vs Viborg?

    The model expects 1.49 goals (xG) for AGF and 1.36 for Viborg, 2.85 in total.

    What does the model say about double chance?

    AGF or draw (1X) 66%, Viborg or draw (X2) 60% and no draw (12) 74%.

    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.