Danish SuperligaCepheus Park, Randers17°7,4 mm26 km/h

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    RandersRandersLow block & direct
    21
    AGFAGFPossession & high press
    The model's lean: 1 · Randers (42%)

    RandersAGF · Danish Superliga

    1 · Randers 42%X 25%33% AGF · 2

    Analysis: RandersAGF

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

    Randers step into this encounter with a slight upper hand against AGF Aarhus, having dominated the head-to-head with three wins from their last six meetings. A small sample, yes, but it underscores the hosts’ ability to impose themselves when these teams clash. The numbers suggest a tight contest with Randers narrowly favored at 42% to win, buoyed by historical confidence and home advantage.

    The tactical contrast is stark. Randers are low defense and direct, a pragmatic approach that often stifles opponents. Meanwhile, AGF Aarhus prefers possession and a high press, a style that can be stymied in adverse conditions. The expected rainfall of 15.4 mm will likely play into the hands of the home side, potentially suppressing AGF’s passing game and overall fluidity. This weather factor is already baked into the model’s probabilities, but it still accentuates the likelihood of a tight, defensive game.

    Expected goals serve up an interesting dichotomy. Randers lag with only 0.75 xG per match compared to AGF’s 1.8, yet they’ve managed to convert these opportunities into tangible results against Aarhus more often than not. Defensively, both sides are nearly identical in their expected goals against, suggesting neither has a considerable edge in shutting down attacks.

    While the model leans towards Randers and offers an enticing 37% edge at Betsson and Nordicbet with odds of 3.25, the goal expectation leans slightly in favor of over 2.5 goals at 53%. Both teams have a 57% probability to find the net, but with the conditions, a 1-0 or 2-1 scoreline feels plausible. The key betting angle here is the value in backing Randers at those odds, which offer a tangible edge over the implied probability, hinting at a defensive masterclass with just enough punch to secure a narrow home victory.

    RandersRanders
    Form DLWLL
    League ranking xG #12xGA #10xT #10xP/match #11Points #9
    Key players
    • Mike ThemsenFxG 0.15 · xT 0.05
    • Elies MahmoudRWxG 0.13 · xT 0.11
    • Mohamed Ortaim SankohFxG 0.18 · xT -0.12
    AGFAGF
    Form WDDLD
    League ranking xG #3xGA #7xT #3xP/match #7Points #10
    Key players
    • Gift LinksRWxG 0.18 · xT 0.23
    • Kristian ArnstadFxG 0.54 · xT 0.07
    • Frederik EmmeryLWxG 0.17 · xT 0.23
    Final score
    21
    The model called the outcome
    Predicted probabilities: Randers 42% · Draw 25% · AGF 33%

    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 - Randers FCBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 8,42fair 8,96-6 %
    Miss
    Matchresultat - AGFBåda lagen gör mål - JaTotalt antal mål - Över 3.5
    odds 5,79fair 10,83-47 %
    Miss

    Match prediction: RandersAGF

    Predicted score matrix

    AGF
    Randers
    0
    1
    2
    3
    4+
    0
    0–06.6%
    0–17.9%
    0–25.4%
    0–32.4%
    0–4+1.1%
    1
    1–08.7%
    1–112.3%
    1–27.9%
    1–33.5%
    1–4+1.5%
    2
    2–06.6%
    2–18.7%
    2–25.8%
    2–32.5%
    2–4+1.1%
    3
    3–03.2%
    3–14.2%
    3–22.8%
    3–31.2%
    3–4+0.5%
    4+
    4+–01.6%
    4+–12.1%
    4+–21.4%
    4+–30.6%
    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. 3.1-09%
    4. 4.1-28%
    5. 5.0-18%
    Expected goals
    1,461,32
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.23EV+3%
    Over 2,553%
    @1.73

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Randers or draw (1X)66%
    • Over 1.5 goals77%

    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

    • Double chance Randers or draw (1X)66%
    • Over 2.5 goals53%
    • Mike Kofod Themsen to score21%

    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 score57%
    • Over 2.5 goals53%
    • Kristian Fredrik Malt Arnstad to score23%
    • Frederik Lauenborg 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 · Randers42% probability@3.15BetssonEV+33%reference odds
    • 1 · Randers42% probability@3.15NordicbetEV+33%reference odds
    • 1 · Randers42% probability@3.12PinnacleEV+32%reference odds
    Bookmaker1 · RandersX2 · AGF
    Betfair Exchange1.101.101.10
    Betsafe
    EV+ 31%
    3.10
    3.602.15
    Betsson
    EV+ 33%
    3.15
    3.652.18
    Nordicbet
    EV+ 33%
    3.15
    3.652.18
    Paddy Power
    EV+ 31%
    3.10
    3.502.00
    Pinnacle
    EV+ 32%
    3.12
    3.712.23

    Odds updated 30 Aug, 11:35

    Odds movement

    10 %
    32 %27 %

    3.123.12

    X-1 %
    28 %23 %

    3.763.71

    2+5 %
    47 %42 %

    2.132.23

    Pinnacle · 11 recorded price levels · 24/08/2026 → 30/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Randers 3Draw 2AGF 1
    Goals: 128 (⌀ 3,3)

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

    Key facts

    • Randers dominate this fixture historically: 3 wins to 1 in 6 meetings.
    • A high-scoring fixture: 3.3 goals per meeting on average.
    xG & xGA per match — 3-game rolling average

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

    Randers
    AGF
    When goals are scored and conceded 2026
    Randers (37)
    AGF (67)
    Pass networks

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

    Randers
    Wessel Dammers: 276 passningar, xT 0.3DammersDaniel Hoegh: 241 passningar, xT 0.42HoeghElies Mahmoud: 184 passningar, xT 0.42MahmoudMike Themsen: 144 passningar, xT 0.07ThemsenLaurits Pedersen: 131 passningar, xT 0.08PedersenMathias Greve: 103 passningar, xT 0.01Greve Jannich Storch: 98 passningar, xT 0.12StorchJohn Bjorkengren: 95 passningar, xT -0.04BjorkengrenMartin André Sjølstad: 89 passningar, xT 0.4SjølstadSabil Hansen: 82 passningar, xT 0.26HansenFrederik Lauenborg: 77 passningar, xT 0.04Lauenborg
    AGF
    Mouhammade Camara: 184 passningar, xT 0.19CamaraEric Kahl: 173 passningar, xT 0.37KahlGift Links: 166 passningar, xT 0.59LinksJacob Andersen: 134 passningar, xT 0.12AndersenKristian Arnstad: 131 passningar, xT 0.14ArnstadMagnus Nordengen Knudsen: 113 passningar, xT 0.38KnudsenSebastian Jorgensen: 109 passningar, xT 0.68JorgensenMarkus Solbakken: 93 passningar, xT 0.08SolbakkenFrederik Emmery: 69 passningar, xT 0.74EmmeryJesper Hansen: 62 passningar, xT 0.01HansenFrederik Tingager: 60 passningar, xT 0.3Tingager
    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.

    Randers
    Wessel Dammers: 276 passningar, xT 0.3DammersDaniel Hoegh: 241 passningar, xT 0.42HoeghElies Mahmoud: 184 passningar, xT 0.42MahmoudMike Themsen: 144 passningar, xT 0.07ThemsenLaurits Pedersen: 131 passningar, xT 0.08PedersenMathias Greve: 103 passningar, xT 0.01Greve Jannich Storch: 98 passningar, xT 0.12StorchJohn Bjorkengren: 95 passningar, xT -0.04BjorkengrenMartin André Sjølstad: 89 passningar, xT 0.4SjølstadSabil Hansen: 82 passningar, xT 0.26HansenFrederik Lauenborg: 77 passningar, xT 0.04Lauenborg
    AGF
    Mouhammade Camara: 184 passningar, xT 0.19CamaraEric Kahl: 173 passningar, xT 0.37KahlGift Links: 166 passningar, xT 0.59LinksJacob Andersen: 134 passningar, xT 0.12AndersenKristian Arnstad: 131 passningar, xT 0.14ArnstadMagnus Nordengen Knudsen: 113 passningar, xT 0.38KnudsenSebastian Jorgensen: 109 passningar, xT 0.68JorgensenMarkus Solbakken: 93 passningar, xT 0.08SolbakkenFrederik Emmery: 69 passningar, xT 0.74EmmeryJesper Hansen: 62 passningar, xT 0.01HansenFrederik Tingager: 60 passningar, xT 0.3Tingager

    The teams in numbers

    PerformanceRandersAGF
    Points43
    xPoints5.45.5
    xG per match0.751.8
    xGA per match1.51.4
    xG within 8s of winning the ball0.160.37
    xGA within 8s of losing the ball0.270.22
    Playing styleRandersAGF
    Build-up efficiency0.310.3
    Field tilt0.40.61
    xT per match0.711.3
    xTA per match1.40.85
    Won balls, offensive half2125
    Pressing intensity0.260.25
    Pressing efficiency0.290.3
    Pressing efficiency, offensive half0.190.22
    Entries into the box per match921
    Entries into the box against2012
    Pass completion %0.760.78
    Pass completion % under pressure0.710.7
    Passes per match356424
    Passes against per match473281
    Switches of play per match21.328.4
    Long balls per match2732
    Set piecesRandersAGF
    xG from free kicks0.020.02
    Corners per match4.69.3
    Corners against per match8.23.3
    xG per corner0.020.03
    xGA per corner against0.020.04
    First touch, offensive corners %0.390.32
    First touch, defensive corners %0.610.54
    OtherRandersAGF
    Throw-in control0.730.76
    The goalkeepers Jannich Storch (Randers)Mouhammade Camara (AGF)
    Saves186
    Save %72%100%
    xG prevented62%100%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Randers vs AGF according to our model?

    The model gives Randers a 42% win probability. Full 1X2 picture: Randers 42%, draw 25%, AGF 33%.

    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 53% and under at 47%.

    Will both teams score?

    The probability of both teams scoring is 57% 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.