Danish SuperligaRight to Dream Park, Farum15°5,4 mm18 km/h

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    NordsjællandNordsjællandPossession & high press
    vs
    AGFAGFPossession & high press
    The model's lean: 1 · Nordsjælland (59%)

    NordsjællandAGF · Danish Superliga

    1 · Nordsjælland 59%X 22%19% AGF · 2

    Analysis: NordsjællandAGF

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

    One factual issue: the text states Bet365 offers Nordsjælland to win at 1.70, but no such odds are provided in the FACTS.

    Corrected text:

    FC Nordsjælland commands a 59% chance of victory against AGF, a projection firmly supported by recent performances and expected goal metrics. The hosts exhibit a sharp edge, not just in the standings with 13 points to AGF's 3, but with a healthier xPoints tally too. Nordsjælland's expected goals per match stands at 2.2 compared to AGF's 1.6, clearly illustrating the attacking potential favored in this matchup. Despite AGF's historical edge in this fixture, with a slight lead in 8 meetings, Nordsjælland's recent form shows more promise.

    The most probable scorelines tilt towards a 1-1 or 2-1 result, each holding a 10% chance, suggesting a competitive clash. However, Nordsjælland's superior xG metrics give them a slight edge, predicting a 2-1 victory likely. The 61% chance of over 2.5 goals aligns with both teams' high press playing style, though the forecasted rain might temper the attacking rhythm slightly, already considered in the model's numbers.

    Sharp bettors might find value in backing a home win, given the hosts' strong home win percentage and better recent form. The numbers indicate Nordsjælland should edge this, casting AGF as underdogs despite their historical claims.

    NordsjællandNordsjælland
    Form WWWWL
    League ranking xG #1xGA #2xT #1xP/match #1Points #3
    Key players
    • Mamadou Lamine SadioFxG 0.45 · xT 0.03
    • Justin JanssenCMxG 0.14 · xT 0.19
    • Caleb YirenkyiCBxG 0.05 · xT 0.18
    AGFAGF
    Form DLDLL
    League ranking xG #3xGA #7xT #6xP/match #6Points #11
    Key players
    • Gift LinksRWxG 0.18 · xT 0.23
    • Kristian ArnstadFxG 0.39 · xT 0.09
    • Sebastian JorgensenRWxG 0.26 · xT 0.26

    Match prediction: NordsjællandAGF

    Predicted score matrix

    AGF
    Nordsjælland
    0
    1
    2
    3
    4+
    0
    0–04.7%
    0–14.8%
    0–22.9%
    0–31.1%
    0–4+0.4%
    1
    1–08.3%
    1–110.3%
    1–25.8%
    1–32.2%
    1–4+0.8%
    2
    2–08.5%
    2–19.8%
    2–25.7%
    2–32.2%
    2–4+0.8%
    3
    3–05.6%
    3–16.5%
    3–23.7%
    3–31.4%
    3–4+0.5%
    4+
    4+–04.4%
    4+–15.0%
    4+–22.9%
    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. 5.3-16%
    Expected goals
    1,971,16
    Both teams to score
    59%

    Over/under goals

    Expected goals: 3,1
    Under 2,539%
    @2.68EV+6%
    Over 2,561%
    @1.46

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Nordsjælland to win59%
    • Over 1.5 goals82%

    Combined probability

    48%

    Fair odds

    2.10

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

    02 · 3 legs

    Balanced

    • Nordsjælland to win59%
    • Over 2.5 goals61%
    • Ibrahim Adel Ali Mohamed Hassan to score33%

    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%
    • Ibrahim Adel Ali Mohamed Hassan to score33%
    • Magnus Nordengen Knudsen 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

    The model's value spots

    Bets where the model's probability beats what the odds imply (EV+).

    • 1 · Nordsjælland59% probability@1.90BetssonEV+11%reference odds
    • 1 · Nordsjælland59% probability@1.90NordicbetEV+11%reference odds
    • 1 · Nordsjælland59% probability@1.88BetsafeEV+10%reference odds
    Bookmaker1 · NordsjællandX2 · AGF
    Betfair Exchange1.111.861.89
    Betsafe
    EV+ 10%
    1.88
    3.853.70
    Betsson
    EV+ 11%
    1.90
    3.903.75
    Nordicbet
    EV+ 11%
    1.90
    3.903.75
    Paddy Power
    EV+ 8%
    1.85
    3.803.30

    Odds updated 7 Sept, 08:36

    Odds movement

    Market signal

    The market has moved clearly towards a Nordsjælland win since 6 September — the odds have shortened from 2.20 to 1.90 (−14%).

    1-14 %
    52 %42 %

    2.201.90

    X+7 %
    30 %20 %

    3.653.90

    2+21 %
    32 %22 %

    3.103.75

    Over 2,5-3 %
    69 %59 %

    1.501.46

    Betsson · 10 recorded price levels · 06/09/2026 → 07/09/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    8 matches
    Nordsjælland 2Draw 2AGF 4
    Goals: 811 (⌀ 2,4)

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

    Key facts

    • AGF Aarhus dominate this fixture historically: 4 wins to 2 in 8 meetings.
    • FC Nordsjaelland win 63% of their home matches all-time (35 played).
    xG & xGA per match — 3-game rolling average

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

    Nordsjælland
    AGF
    When goals are scored and conceded 2026
    Nordsjælland (94)
    AGF (711)
    Pass networks

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

    Nordsjælland
    Stephen Acquah: 370 passningar, xT 0.57AcquahTobias Salquist: 290 passningar, xT 0.51SalquistNoah Markmann: 249 passningar, xT 0.19MarkmannJustin Janssen: 235 passningar, xT 0.73JanssenMark Brink: 207 passningar, xT 0.33BrinkPeter Ankersen: 194 passningar, xT 0.77AnkersenNicklas Rojkjaer: 180 passningar, xT 0.34RojkjaerAndreas Hansen: 178 passningar, xT 0.02HansenJuho Lahteenmaki: 155 passningar, xT 0.83LahteenmakiRunar Norheim: 108 passningar, xT 0.2NorheimVillum Berthelsen: 82 passningar, xT 0.03Berthelsen
    AGF
    Eric Kahl: 260 passningar, xT 0.53KahlMouhammade Camara: 237 passningar, xT 0.26CamaraMagnus Nordengen Knudsen: 175 passningar, xT 0.38KnudsenKristian Arnstad: 169 passningar, xT 0.28ArnstadJacob Andersen: 148 passningar, xT 0.11AndersenLuka Callo: 136 passningar, xT 0.15CalloGift Links: 134 passningar, xT 0.48LinksMarkus Solbakken: 129 passningar, xT 0.15SolbakkenSebastian Jorgensen: 123 passningar, xT 0.55JorgensenColin Rösler: 118 passningar, xT 0.41RöslerMads Hedenstad Christiansen: 104 passningar, xT 0.05Christiansen
    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.

    Nordsjælland
    Stephen Acquah: 370 passningar, xT 0.57AcquahTobias Salquist: 290 passningar, xT 0.51SalquistNoah Markmann: 249 passningar, xT 0.19MarkmannJustin Janssen: 235 passningar, xT 0.73JanssenMark Brink: 207 passningar, xT 0.33BrinkPeter Ankersen: 194 passningar, xT 0.77AnkersenNicklas Rojkjaer: 180 passningar, xT 0.34RojkjaerAndreas Hansen: 178 passningar, xT 0.02HansenJuho Lahteenmaki: 155 passningar, xT 0.83LahteenmakiRunar Norheim: 108 passningar, xT 0.2NorheimVillum Berthelsen: 82 passningar, xT 0.03Berthelsen
    AGF
    Eric Kahl: 260 passningar, xT 0.53KahlMouhammade Camara: 237 passningar, xT 0.26CamaraMagnus Nordengen Knudsen: 175 passningar, xT 0.38KnudsenKristian Arnstad: 169 passningar, xT 0.28ArnstadJacob Andersen: 148 passningar, xT 0.11AndersenLuka Callo: 136 passningar, xT 0.15CalloGift Links: 134 passningar, xT 0.48LinksMarkus Solbakken: 129 passningar, xT 0.15SolbakkenSebastian Jorgensen: 123 passningar, xT 0.55JorgensenColin Rösler: 118 passningar, xT 0.41RöslerMads Hedenstad Christiansen: 104 passningar, xT 0.05Christiansen

    The teams in numbers

    PerformanceNordsjællandAGF
    Points133
    xPoints10.58.3
    xG per match2.21.6
    xGA per match1.11.4
    xG within 8s of winning the ball0.390.28
    xGA within 8s of losing the ball0.140.19
    Playing styleNordsjællandAGF
    Build-up efficiency0.350.3
    Field tilt0.580.6
    xT per match1.61.2
    xTA per match0.630.87
    Won balls, offensive half2824
    Pressing intensity0.240.24
    Pressing efficiency0.260.3
    Pressing efficiency, offensive half0.230.26
    Entries into the box per match2117
    Entries into the box against1012
    Pass completion %0.830.78
    Pass completion % under pressure0.770.7
    Passes per match552421
    Passes against per match368276
    Switches of play per match25.225.8
    Long balls per match3429
    Set piecesNordsjællandAGF
    xG from free kicks0.110.07
    Corners per match6.88.3
    Corners against per match3.73.2
    xG per corner0.030.02
    xGA per corner against0.030.04
    First touch, offensive corners %0.420.3
    First touch, defensive corners %0.550.58
    OtherNordsjællandAGF
    Throw-in control0.770.7
    The goalkeepersAndreas Hansen (Nordsjælland)Mads Hedenstad Christiansen (AGF)
    Saves1913
    Save %83%62%
    xG prevented57%51%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Nordsjælland vs AGF according to our model?

    The model gives Nordsjælland a 59% win probability. Full 1X2 picture: Nordsjælland 59%, draw 22%, AGF 19%.

    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.

    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.