Danish SuperligaLyngby Stadion, Kongens Lyngby19°15 km/h

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    LyngbyLyngbyCounter-attacks & crosses
    22
    AGFAGFCounter-attacks & crosses
    The model's lean: 2 · AGF (49%)

    LyngbyAGF · Danish Superliga

    1 · Lyngby 29%X 22%49% AGF · 2

    Analysis: LyngbyAGF

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

    Six matches without tasting defeat — that’s the impressive streak AGF Aarhus brings into their showdown with Lyngby Boldklub. It's a pattern that hints at resilience and consistency, a formidable blend in the cutthroat world of the Danish Superliga. While AGF Aarhus holds the upper hand in recent form, Lyngby’s knack for causing defensive headaches can’t be overlooked, as their expected goals (xG) per match sits at a lively 3.1 compared to AGF Aarhus’s 1.9. Yet, despite this attacking potential, it's the visitors who seem to hold the upper hand, both in probability and poise.

    Lyngby Boldklub’s tactical setup is a mirror of AGF Aarhus’s own counter-attack and crossing strategy, but their execution has fallen short more often than not. The two sides have met twice since 2022, and Lyngby have yet to clinch a victory. They've managed only a draw and succumbed to defeat once, suggesting that AGF Aarhus has a slight mental edge in head-to-head contests. They may have bagged fewer points historically, but Lyngby’s greater xPoints and slightly tighter expected goals against (xGA) offer a semblance of an argument for a surprise.

    AGF Aarhus's unbeaten run and a model probability tipping the scales at a solid 49% in their favor underline a match that leans towards them. Betting markets echo this sentiment, presenting tangible value at odds of 2.16 with Pinnacle for an away win — an enticing 6% edge if the data holds true. As for the scoreboard, the most likely result skews towards a close affair, with 1-1 at a 12% likelihood and both 1-2 and 0-1 each sitting at 9%.

    With the probability of over 2.5 goals at 53% and both teams to score at 57%, the odds suggest action in front of goal. However, the sharpest edge lies in backing AGF Aarhus to continue their unbeaten roll. The numbers, the form, and the market all weave a compelling narrative for the visitors to edge it, perhaps 1-2, with the over 2.5 goals just about tipping the balance. For the punters, the value on AGF Aarhus at 2.16 is the glittering gem in the betting landscape.

    LyngbyLyngby
    Form DLLWL
    League ranking xG #2xGA #3xT #2xP/match #1Points #10
    Key players
    • Lauge Wesenberg SandgravCMxG 0.04 · xT 0.07
    • Mikkel Rosleff FischerCBxG 0.00 · xT 0.10
    • Renzo TytensLWBxG 0.16 · xT 0.18
    AGFAGF
    Form DWWWD
    League ranking xG #3xGA #5xT #5xP/match #4Points #5
    Final score
    22
    The model missed the outcome
    Predicted probabilities: Lyngby 29% · Draw 22% · AGF 49%

    Match prediction: LyngbyAGF

    Predicted score matrix

    AGF
    Lyngby
    0
    1
    2
    3
    4+
    0
    0–06.4%
    0–19.0%
    0–27.0%
    0–33.6%
    0–4+1.9%
    1
    1–07.5%
    1–112.2%
    1–29.0%
    1–34.5%
    1–4+2.4%
    2
    2–05.0%
    2–17.6%
    2–25.7%
    2–32.9%
    2–4+1.5%
    3
    3–02.1%
    3–13.2%
    3–22.4%
    3–31.2%
    3–4+0.7%
    4+
    4+–00.9%
    4+–11.4%
    4+–21.0%
    4+–30.5%
    4+–4+0.3%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-29%
    3. 3.0-19%
    4. 4.2-18%
    5. 5.1-07%
    Expected goals
    1,281,52
    Both teams to score
    57%

    Over/under goals

    Expected goals: 2,8
    Under 2,547%
    @2.26EV+6%
    Over 2,553%
    @1.69

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • AGF to win49%
    • Over 1.5 goals77%

    Combined probability

    34%

    Fair odds

    2.98

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

    02 · 3 legs

    Balanced

    • AGF to win49%
    • Over 2.5 goals53%
    • Kristian Fredrik Malt Arnstad to score24%

    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 score24%
    • Jens Jønsson 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+).

    • 2 · AGF49% probability@2.39PinnacleEV+17%reference odds
    • Under 2.547% probability@2.26PinnacleEV+6%reference odds
    Bookmaker1 · LyngbyX2 · AGF
    Pinnacle2.953.63
    EV+ 17%
    2.39

    Odds updated 1 Aug, 10:09

    Odds movement

    Market signal

    The market has moved clearly towards a Lyngby win since 27 July — the odds have shortened from 3.80 to 2.95 (−22%).

    1-22 %
    34 %24 %

    3.802.95

    X+1 %
    31 %21 %

    3.613.63

    2+22 %
    50 %40 %

    1.952.39

    Over 2,5-9 %
    60 %50 %

    1.851.69

    Pinnacle · 15 recorded price levels · 27/07/2026 → 01/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    2 matches
    Lyngby 0Draw 1AGF 1
    Goals: 12 (⌀ 1,5)

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

    Key facts

    • AGF Aarhus are unbeaten in their last 6 league matches.
    xG & xGA per match — 3-game rolling average

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

    Lyngby
    AGF
    When goals are scored and conceded 2026
    Lyngby (23)
    AGF (11)
    Pass networks

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

    Lyngby
    Davíð Helgi Aronsson: 41 passningar, xT 0.06AronssonMikkel Rosleff Fischer: 38 passningar, xT 0.09FischerCasper Kaarsbo Winther: 36 passningar, xT 0.12WintherLauge Wesenberg Sandgrav: 32 passningar, xT 0.05SandgravRenzo Tytens: 26 passningar, xT 0.16TytensGustav Leone Fraulo: 21 passningar, xT 0.28FrauloDiego Kochen: 20 passningar, xT 0.04KochenSimon Willem Colyn: 16 passningar, xT 0.41ColynOskar Buur Rasmussen: 16 passningar, xT 0.16RasmussenCornelius Allen: 14 passningar, xT 0.03AllenAsbjørn Johnsen Bøndergaard: 5 passningar, xT 0Bøndergaard
    AGF
    Frederik Tingager: 58 passningar, xT 0.3TingagerEric Kahl: 46 passningar, xT 0.14KahlGift Links: 32 passningar, xT 0.11LinksJesper Hansen: 29 passningar, xT 0HansenMagnus Nordengen Knudsen: 27 passningar, xT -0.02KnudsenJacob Andersen: 26 passningar, xT 0.03AndersenKristian Arnstad: 17 passningar, xT 0.04ArnstadJens Jønsson: 17 passningar, xT 0.04JønssonJonas Jensen Abbew: 17 passningar, xT 0.02AbbewSebastian Jorgensen: 15 passningar, xT 0.12JorgensenFrederik Emmery: 13 passningar, xT 0.03Emmery
    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.

    Lyngby
    Davíð Helgi Aronsson: 41 passningar, xT 0.06AronssonMikkel Rosleff Fischer: 38 passningar, xT 0.09FischerCasper Kaarsbo Winther: 36 passningar, xT 0.12WintherLauge Wesenberg Sandgrav: 32 passningar, xT 0.05SandgravRenzo Tytens: 26 passningar, xT 0.16TytensGustav Leone Fraulo: 21 passningar, xT 0.28FrauloDiego Kochen: 20 passningar, xT 0.04KochenSimon Willem Colyn: 16 passningar, xT 0.41ColynOskar Buur Rasmussen: 16 passningar, xT 0.16RasmussenCornelius Allen: 14 passningar, xT 0.03AllenAsbjørn Johnsen Bøndergaard: 5 passningar, xT 0Bøndergaard
    AGF
    Frederik Tingager: 58 passningar, xT 0.3TingagerEric Kahl: 46 passningar, xT 0.14KahlGift Links: 32 passningar, xT 0.11LinksJesper Hansen: 29 passningar, xT 0HansenMagnus Nordengen Knudsen: 27 passningar, xT -0.02KnudsenJacob Andersen: 26 passningar, xT 0.03AndersenKristian Arnstad: 17 passningar, xT 0.04ArnstadJens Jønsson: 17 passningar, xT 0.04JønssonJonas Jensen Abbew: 17 passningar, xT 0.02AbbewSebastian Jorgensen: 15 passningar, xT 0.12JorgensenFrederik Emmery: 13 passningar, xT 0.03Emmery

    The teams in numbers

    PerformanceLyngbyAGF
    Points01
    xPoints2.51.8
    xG per match3.11.9
    xGA per match0.890.96
    xG within 8s of winning the ball1.20.47
    xGA within 8s of losing the ball0.190.04
    Playing styleLyngbyAGF
    Build-up efficiency0.320.3
    Field tilt0.590.57
    xT per match1.61.1
    xTA per match0.70.62
    Won balls, offensive half3126
    Pressing intensity0.250.25
    Pressing efficiency0.340.3
    Pressing efficiency, offensive half0.410.43
    Entries into the box per match1823
    Entries into the box against1115
    Pass completion %0.70.74
    Pass completion % under pressure0.640.59
    Passes per match279334
    Passes against per match408293
    Switches of play per match13.930.5
    Long balls per match2637
    Set piecesLyngbyAGF
    xG from free kicks00
    Corners per match510.2
    Corners against per match56.1
    xG per corner0.10.05
    xGA per corner against0.020.05
    First touch, offensive corners %0.80.4
    First touch, defensive corners %0.40.67
    OtherLyngbyAGF
    Throw-in control0.710.77
    The goalkeepersDiego Kochen (Lyngby)Jesper Hansen (AGF)
    Saves31
    Save %50%50%
    xG prevented43%21%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Lyngby vs AGF according to our model?

    The model gives AGF a 49% win probability. Full 1X2 picture: Lyngby 29%, draw 22%, AGF 49%.

    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.