Scottish PremiershipPittodrie Stadium, Aberdeen15°17 km/hUpdated

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    AberdeenAberdeenPossession control
    vs
    The model's lean: 2 · Hearts (51%)
    HeartsHeartsPossession control

    AberdeenHearts · Scottish Premiership

    1 · Aberdeen 24%X 25%Hearts · 2 51%
    AberdeenAberdeen
    Form WDWLL
    League ranking xG #10xGA #9xT #10xP/match #11Points #9
    Key players
    • Karl Jesper KarlssonLWxG 0.36 · xT 0.06
    • Marko LazetićFxG 0.2 · xT 0
    • Olutoyosi Tajudeen Oludamilola OlusanyaFxG 0.22 · xT 0.01
    HeartsHearts
    Form WWDWL
    League ranking xG #3xGA #1xT #4xP/match #1Points #2
    Key players
    • Lawrence ShanklandFxG 0.45 · xT 0.09
    • Claudio Rafael Soares BragaFxG 0.38 · xT 0.08
    • Harry MilneLWBxG 0.08 · xT 0.17

    Match prediction: AberdeenHearts

    Predicted score matrix

    Hearts
    Aberdeen
    0
    1
    2
    3
    4+
    0
    0–09.4%
    0–112.2%
    0–28.7%
    0–34.0%
    0–4+1.9%
    1
    1–08.9%
    1–113.1%
    1–28.8%
    1–34.1%
    1–4+1.9%
    2
    2–04.7%
    2–16.5%
    2–24.5%
    2–32.1%
    2–4+1.0%
    3
    3–01.6%
    3–12.2%
    3–21.5%
    3–30.7%
    3–4+0.3%
    4+
    4+–00.5%
    4+–10.7%
    4+–20.5%
    4+–30.2%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-112%
    3. 3.0-09%
    4. 4.1-09%
    5. 5.1-29%
    Expected goals
    1,021,39
    Both teams to score
    48%

    Over/under goals

    Expected goals: 2,4
    Under 2,557%
    @2.19EV+25%
    Over 2,543%
    @1.69

    Odds & value

    The model's value spots

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

    • Under 2.557% probability@2.19PinnacleEV+25%
    • 1 · Aberdeen24% probability@4.26PinnacleEV+3%
    Bookmaker1 · AberdeenX2 · Hearts
    Pinnacle
    EV+ 3%
    4.26
    3.831.79

    Odds updated 27 Jul, 15:52

    Analysis: AberdeenHearts

    Sofia Andersson · · How the predictions work

    Hearts have been on a roll, bagging goals in every one of their last eight league fixtures, and they sit on a substantial 80 points compared to Aberdeen FC's 40. This points to a significant gulf in form and confidence between the two sides. However, when it comes to their meetings since 2023, it's a surprisingly even contest: two wins each and two draws. This head-to-head balance adds a dash of intrigue to an otherwise lopsided narrative.

    Aberdeen FC, despite sharing a possession-control style with Hearts, have often struggled to convert this into tangible results. Their expected goals and expected goals against figures are illuminating; Aberdeen FC's 1.2 xG per match and 1.7 xGA per match highlight a tendency to leak goals more than they score them. Hearts, on the other hand, boast a healthier xG of 1.6 and a much tighter xGA of 1.0, suggesting they are more adept at turning possession into points.

    Hearts are the favorites here with a 51% chance of victory according to the model, and the most likely scoreline is a dour affair: a 1-1 draw at 13% or a narrow 0-1 Hearts win at 12%. Given the over/under 2.5 goals probability sits at just 43%, bettors might find value in backing a low-scoring clash. Indeed, the under 2.5 goals bet is flagged as an EV+ opportunity with Pinnacle offering odds of 2.19, a tempting 25% edge based on the model's 57% likelihood.

    Aberdeen FC, despite their challenges, still hold a sliver of betting value at home with odds of 4.26 from Pinnacle. However, the 3% edge is a slender one, making this more of a speculative punt than a calculated play. All signs point towards Hearts edging this fixture, with a 1-0 victory looking the most plausible outcome. Keep an eye on the under 2.5 goals market for the sharpest bet.

    Statistics

    Head-to-head

    6 matches
    Aberdeen 2Draw 2Hearts 2
    Goals: 56 (⌀ 1,8)

    Head-to-head based on Scottish Premiership data since 2023.

    Key facts

    • Hearts have scored in 8 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Aberdeen
    Hearts
    When goals are scored and conceded 2025
    Aberdeen (4055)
    Hearts (6734)
    Pass networks

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

    Aberdeen
    Gavin Molloy: 194 passningar, xT 0.73MolloyLiam Morrison: 145 passningar, xT 0.06MorrisonJack Milne: 134 passningar, xT 0.33MilneDennis Geiger: 124 passningar, xT 0.33GeigerMats Knoester: 115 passningar, xT -0.06KnoesterAfeez Aremu Olalekan: 108 passningar, xT 0.04OlalekanStuart Armstrong: 86 passningar, xT 0.28ArmstrongLyall Cameron: 78 passningar, xT 0.1CameronAnte Palaversa: 72 passningar, xT 0.08PalaversaKevin Michael Nisbet: 67 passningar, xT 0.03NisbetMitchel Frame: 65 passningar, xT 0.49Frame
    Hearts
    Stuart Findlay: 175 passningar, xT 0.19FindlayMarc Henry Leonard: 149 passningar, xT 0.77LeonardStephen Iain Kingsley: 141 passningar, xT 0.51KingsleyMichael Steinwender: 125 passningar, xT 0.08SteinwenderCraig Peter Halkett: 123 passningar, xT 0.06HalkettBlair Thomas Spittal: 116 passningar, xT 0.48SpittalBeni Baningime: 111 passningar, xT -0.13BaningimeAlexandros Kyziridis: 98 passningar, xT 0.16KyziridisLawrence Shankland: 92 passningar, xT 0.11ShanklandAlexander Schwolow: 70 passningar, xT 0.18SchwolowCammy Devlin: 63 passningar, xT 0.08Devlin
    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.

    Aberdeen
    Gavin Molloy: 194 passningar, xT 0.73MolloyLiam Morrison: 145 passningar, xT 0.06MorrisonJack Milne: 134 passningar, xT 0.33MilneDennis Geiger: 124 passningar, xT 0.33GeigerMats Knoester: 115 passningar, xT -0.06KnoesterAfeez Aremu Olalekan: 108 passningar, xT 0.04OlalekanStuart Armstrong: 86 passningar, xT 0.28ArmstrongLyall Cameron: 78 passningar, xT 0.1CameronAnte Palaversa: 72 passningar, xT 0.08PalaversaKevin Michael Nisbet: 67 passningar, xT 0.03NisbetMitchel Frame: 65 passningar, xT 0.49Frame
    Hearts
    Stuart Findlay: 175 passningar, xT 0.19FindlayMarc Henry Leonard: 149 passningar, xT 0.77LeonardStephen Iain Kingsley: 141 passningar, xT 0.51KingsleyMichael Steinwender: 125 passningar, xT 0.08SteinwenderCraig Peter Halkett: 123 passningar, xT 0.06HalkettBlair Thomas Spittal: 116 passningar, xT 0.48SpittalBeni Baningime: 111 passningar, xT -0.13BaningimeAlexandros Kyziridis: 98 passningar, xT 0.16KyziridisLawrence Shankland: 92 passningar, xT 0.11ShanklandAlexander Schwolow: 70 passningar, xT 0.18SchwolowCammy Devlin: 63 passningar, xT 0.08Devlin

    The teams in numbers

    PerformanceAberdeenHearts
    Points4080
    xPoints47.360
    xG per match1.21.6
    xGA per match1.71
    xG within 8s of winning the ball0.230.27
    xGA within 8s of losing the ball0.250.14
    Playing styleAberdeenHearts
    Build-up efficiency0.310.33
    Field tilt0.430.6
    xT per match0.781.1
    xTA per match0.990.79
    Won balls, offensive half2233
    Pressing intensity0.230.22
    Pressing efficiency0.280.34
    Pressing efficiency, offensive half0.310.37
    Entries into the box per match1114
    Entries into the box against1410
    Pass completion %0.730.72
    Pass completion % under pressure0.70.7
    Passes per match318335
    Passes against per match355285
    Switches of play per match17.730.7
    Long balls per match2537
    Set piecesAberdeenHearts
    xG from free kicks0.070.1
    Corners per match4.75.6
    Corners against per match5.34.5
    xG per corner0.040.07
    xGA per corner against0.080.04
    First touch, offensive corners %0.350.59
    First touch, defensive corners %0.550.58
    OtherAberdeenHearts
    Throw-in control0.670.71
    The goalkeepersDimitar Veselinov Mitov (Aberdeen)Alexander Schwolow (Hearts)
    Saves10165
    Save %71%73%
    xG prevented47%60%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Aberdeen vs Hearts according to our model?

    The model gives Hearts a 51% win probability. Full 1X2 picture: Aberdeen 24%, draw 25%, Hearts 51%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 43% and under at 57%.

    Will both teams score?

    The probability of both teams scoring is 48% according to the model.

    More matches in the league

    Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.