Danish SuperligaCeres Park, Aarhus9°19 km/h

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    AGFAGFPossession & high press
    3–0
    SønderjyskESønderjyskELow block & direct
    The model's lean: 1 · AGF (63%)Best value by the model: Under 2,5 @ 2.62 (+8 %)

    AGF vs SønderjyskE · Danish Superliga

    1 · AGF 63%X 22%16% SønderjyskE · 2

    Prediction summary

    Final score 3–0. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for AGF vs SønderjyskE (Danish Superliga, Monday, 12 October 2026): AGF win 63%, draw 22%, SønderjyskE win 16%. Expected goals (xG): AGF 2.02, SønderjyskE 1.02. Most likely score: 1-1 (10%). Over 2.5 goals 59%, both teams to score 56%. Double chance: AGF or draw 84%, SønderjyskE or draw 37%. Prediction updated Saturday, 3 October 2026.

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    Analysis: AGF – SønderjyskE

    Sofia Andersson · · The model's read on the match · How the predictions work

    AGF's 63% win probability underscores their superiority in this matchup against Sønderjyske. The hosts' playing style — possession with high pressing — contrasts sharply with the visitors' low defense and direct approach. This stylistic clash is apparent in the expected goals: 2.02 for AGF versus 1.02 for Sønderjyske, emphasizing AGF's attacking edge.

    Despite a small head-to-head sample showing an even split (1 win, 2 draws, 1 loss), current form and expected goals heavily favor AGF. The most likely scorelines are 1-1, 2-1, and 2-0, each with a 10% likelihood, suggesting AGF's dominance could translate into a narrow victory. The over 2.5 goals probability stands at 59%, reflecting AGF's offensive capabilities. Yet, with a 56% chance of both teams scoring, Sønderjyske's direct style might still pose threats.

    For betting angles, the under 2.5 goals market presents value with Betsafe and Nordicbet at odds of 2.52, where the model sees a 4% edge. Given the 41% probability, this bet is more about exploiting market inefficiency than predicting the match flow. Alternatively, the under 3.5 goals at odds of 1.62 with Betsafe offers a 3% edge, fitting well with the expectation of a controlled AGF performance.

    AGFAGF
    Form LLDLD
    League ranking xG #4xGA #8xT #6xP/match #7Points #11
    Key players
    • Gift LinksRWxG 0.19 · xT 0.24
    • Sebastian JørgensenRWxG 0.22 · xT 0.24
    • Magnus KnudsenCDMxG 0.04 · xT 0.07
    SønderjyskESønderjyskE
    Form LLLDW
    League ranking xG #12xGA #12xT #10xP/match #12Points #12
    Key players
    • Mohamed Cherif HaidaraCAMxG 0.25 · xT -0.01
    • Maxime SoulasCBxG 0.06 · xT 0.13
    • Jacob Steen ChristensenCAMxG 0.12 · xT 0.02
    Final score
    3 – 0
    The model called the outcome
    Predicted probabilities: AGF 63% · Draw 22% · SønderjyskE 16%

    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 - AGFBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 3,75fair 5,19-28 %
    Miss
    Matchresultat - SønderjyskEBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 12,26fair 20,27-40 %
    Miss

    Match prediction: AGF – SønderjyskE

    Predicted score matrix

    SønderjyskE →
    AGF →
    0
    1
    2
    3
    4+
    0
    0–05.0%
    0–14.6%
    0–22.5%
    0–30.8%
    0–4+0.3%
    1
    1–09.3%
    1–110.1%
    1–25.0%
    1–31.7%
    1–4+0.5%
    2
    2–09.7%
    2–110.0%
    2–25.1%
    2–31.7%
    2–4+0.6%
    3
    3–06.6%
    3–16.7%
    3–23.4%
    3–31.2%
    3–4+0.4%
    4+
    4+–05.3%
    4+–15.4%
    4+–22.8%
    4+–30.9%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-110%
    3. 3.2-010%
    4. 4.1-09%
    5. 5.3-17%
    Expected goals
    2,02–1,02
    Both teams to score
    56%

    Over/under goals

    Expected goals: 3,0
    Under 2,541%
    @2.62EV+8%
    Over 2,559%
    @1.47

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • AGF to win63%
    • Over 1.5 goals81%

    Combined probability

    51%

    Fair odds

    1.97

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

    02 · 3 legs

    Balanced

    • AGF to win63%
    • Over 2.5 goals59%
    • Jens Jønsson to score28%

    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 score56%
    • Over 2.5 goals59%
    • Jens Jønsson to score28%
    • Sefer Emini to be booked23%

    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 2.541% probability@2.62BetsafeEV+8%reference odds
    • Under 2.541% probability@2.62NordicbetEV+8%reference odds
    • Under 3.564% probability@1.68PinnacleEV+7%reference odds
    Bookmaker1 · AGFX2 · SønderjyskE
    Betsafe1.584.255.05
    Nordicbet
    EV+ 0%
    1.60
    4.305.10
    Pinnacle1.584.555.32

    Odds updated 12 Oct, 13:35

    Odds movement

    1-1 %
    62 %57 %

    1.59 → 1.58

    X+3 %
    24 %19 %

    4.40 → 4.55

    2+8 %
    21 %16 %

    4.91 → 5.32

    Pinnacle · 13 recorded price levels · 03/10/2026 → 12/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    AGF 1Draw 2SønderjyskE 1
    Goals: 6–6 (⌀ 3)

    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).

    AGF
    SønderjyskE
    When goals are scored and conceded — 2026
    AGF (11–17)
    SønderjyskE (12–21)
    Pass networks

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

    AGF
    Eric Kahl: 249 passningar, xT 0.73KahlColin Rösler: 239 passningar, xT 0.55RöslerMagnus Knudsen: 213 passningar, xT 0.12KnudsenKristian Arnstad: 207 passningar, xT 0.47ArnstadLuka Callo: 187 passningar, xT 0.09CalloMads Hedenstad Christiansen: 138 passningar, xT 0.13ChristiansenDaniel Leo Gretarsson: 132 passningar, xT 0.11GretarssonRasmus Carstensen: 110 passningar, xT 0.06CarstensenSebastian Jørgensen: 98 passningar, xT 0.44JørgensenFrederik Emmery: 89 passningar, xT 1.14EmmeryMikael Anderson: 87 passningar, xT 0.47Anderson
    SønderjyskE
    Maxime Soulas: 207 passningar, xT 0.72SoulasAlexander Munksgaard: 131 passningar, xT 0.75MunksgaardBrynjar Ingi Bjarnason: 108 passningar, xT 0.07BjarnasonRasmus Vinderslev: 105 passningar, xT 0.43VinderslevJacob Steen Christensen: 103 passningar, xT 0.02ChristensenDaniel Leo Gretarsson: 97 passningar, xT 0.49GretarssonNick Shinton: 86 passningar, xT 0.17ShintonEbube Duru: 84 passningar, xT 0.18DuruDalton Wilkins: 69 passningar, xT 0.08WilkinsMohamed Cherif Haidara: 68 passningar, xT -0.03HaidaraAndreas Oggesen: 65 passningar, xT 0.09Oggesen
    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
    Eric Kahl: 249 passningar, xT 0.73KahlColin Rösler: 239 passningar, xT 0.55RöslerMagnus Knudsen: 213 passningar, xT 0.12KnudsenKristian Arnstad: 207 passningar, xT 0.47ArnstadLuka Callo: 187 passningar, xT 0.09CalloMads Hedenstad Christiansen: 138 passningar, xT 0.13ChristiansenDaniel Leo Gretarsson: 132 passningar, xT 0.11GretarssonRasmus Carstensen: 110 passningar, xT 0.06CarstensenSebastian Jørgensen: 98 passningar, xT 0.44JørgensenFrederik Emmery: 89 passningar, xT 1.14EmmeryMikael Anderson: 87 passningar, xT 0.47Anderson
    SønderjyskE
    Maxime Soulas: 207 passningar, xT 0.72SoulasAlexander Munksgaard: 131 passningar, xT 0.75MunksgaardBrynjar Ingi Bjarnason: 108 passningar, xT 0.07BjarnasonRasmus Vinderslev: 105 passningar, xT 0.43VinderslevJacob Steen Christensen: 103 passningar, xT 0.02ChristensenDaniel Leo Gretarsson: 97 passningar, xT 0.49GretarssonNick Shinton: 86 passningar, xT 0.17ShintonEbube Duru: 84 passningar, xT 0.18DuruDalton Wilkins: 69 passningar, xT 0.08WilkinsMohamed Cherif Haidara: 68 passningar, xT -0.03HaidaraAndreas Oggesen: 65 passningar, xT 0.09Oggesen

    The teams in numbers

    PerformanceAGFSønderjyskE
    Points55
    xPoints11.59.8
    xG per match1.60.96
    xGA per match1.51.9
    xG within 8s of winning the ball0.370.2
    xGA within 8s of losing the ball0.290.6
    Playing styleAGFSønderjyskE
    Build-up efficiency0.310.31
    Field tilt0.590.34
    xT per match1.10.85
    xTA per match0.951.2
    Won balls, offensive half2523
    Pressing intensity0.240.23
    Pressing efficiency0.280.24
    Pressing efficiency, offensive half0.270.18
    Entries into the box per match1710
    Entries into the box against1216
    Pass completion %0.780.7
    Pass completion % under pressure0.710.66
    Passes per match423275
    Passes against per match312474
    Switches of play per match23.123.9
    Long balls per match2634
    Set piecesAGFSønderjyskE
    xG from free kicks0.050.09
    Corners per match7.14.4
    Corners against per match35.5
    xG per corner0.030.02
    xGA per corner against0.030.02
    First touch, offensive corners %0.30.38
    First touch, defensive corners %0.560.62
    OtherAGFSønderjyskE
    Throw-in control0.710.74
    The goalkeepersMads Hedenstad Christiansen (AGF)Nicolai Flo (SønderjyskE)
    Saves1912
    Save %58%67%
    xG prevented39%52%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins AGF vs SønderjyskE according to our model?

    The model gives AGF a 63% win probability. Full 1X2 picture: AGF 63%, draw 22%, SønderjyskE 16%.

    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 59% and under at 41%.

    Will both teams score?

    The probability of both teams scoring is 56% according to the model.

    How many goals are expected in AGF vs SønderjyskE?

    The model expects 2.02 goals (xG) for AGF and 1.02 for SønderjyskE, 3.05 in total.

    What does the model say about double chance?

    AGF or draw (1X) 84%, SønderjyskE or draw (X2) 37% 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.