Scottish PremiershipPittodrie Stadium, Aberdeen15°0,1 mm11 km/h

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    AberdeenAberdeenCounter-attacks & crosses
    01
    RangersRangersCounter-attacks & crosses
    The model's lean: 2 · Rangers (61%)

    AberdeenRangers · Scottish Premiership

    1 · Aberdeen 17%X 22%61% Rangers · 2

    Analysis: AberdeenRangers

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

    Rangers dominate recent head-to-head encounters with Aberdeen, having won 5 of the last 7 meetings since 2023, a clear trend that aligns with the model's lean towards the visitors. The fixture typically sees goals, averaging 3.3 per match, and given that Rangers have scored in 16 consecutive league games, it's reasonable to expect them to find the net again.

    Aberdeen, despite their recent edge in league points, have struggled defensively, conceding an average of 2 goals per match compared to Rangers' 1.8. The expected goals model further underscores Rangers' superiority, with their xG standing at 2.1 against Aberdeen's 1.6, suggesting the visitors should create more high-quality chances.

    The most likely scorelines of 1-2 and 0-2 hint at a Rangers win, supported by a strong probability of over 2.5 goals (61%) and both teams finding the net (57%). Aberdeen's chance rests on exploiting their counter-attacking play, which historically hasn't been enough to tilt the balance in their favor against Rangers.

    In terms of betting value, the standout angle is backing Rangers at odds of 1.7 with Betsafe, Betsson, or Nordicbet, offering a 4% edge over the model's 61% win probability for the visitors. Given the historical dominance and current form, this provides a compelling opportunity for punters seeking value.

    AberdeenAberdeen
    Form WLLWL
    League ranking xG #8xGA #10xT #3xP/match #10Points #8
    Key players
    • Daniel Keith HappeCBxG 0.21 · xT 0.08
    • Kevin Michael NisbetFxG 0.61 · xT 0.00
    • Stuart ArmstrongCAMxG 0.00 · xT 0.24
    RangersRangers
    Form LLWDL
    League ranking xG #3xGA #9xT #2xP/match #8Points #9
    Key players
    • Lawrence ShanklandFxG 0.38 · xT 0.08
    • Thelo AasgaardLWxG 0.30 · xT 0.05
    • Cammy DevlinCMxG 0.07 · xT 0.05
    Final score
    01
    The model called the outcome
    Predicted probabilities: Aberdeen 17% · Draw 22% · Rangers 61%

    Match prediction: AberdeenRangers

    Predicted score matrix

    Rangers
    Aberdeen
    0
    1
    2
    3
    4+
    0
    0–04.6%
    0–18.8%
    0–29.5%
    0–36.7%
    0–4+5.7%
    1
    1–04.2%
    1–19.7%
    1–29.9%
    1–37.0%
    1–4+6.0%
    2
    2–02.3%
    2–14.9%
    2–25.2%
    2–33.6%
    2–4+3.1%
    3
    3–00.8%
    3–11.7%
    3–21.8%
    3–31.3%
    3–4+1.1%
    4+
    4+–00.3%
    4+–10.6%
    4+–20.6%
    4+–30.4%
    4+–4+0.4%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-210%
    2. 2.1-110%
    3. 3.0-210%
    4. 4.0-19%
    5. 5.1-37%
    Expected goals
    1,042,10
    Both teams to score
    57%

    Over/under goals

    Expected goals: 3,1
    Under 2,539%
    @2.30
    Over 2,561%
    @1.66EV+1%

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Rangers to win61%
    • Over 1.5 goals82%

    Combined probability

    53%

    Fair odds

    1.90

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

    02 · 3 legs

    Balanced

    • Rangers to win61%
    • Over 2.5 goals61%
    • Djeidi Gassama 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 goals61%
    • Djeidi Gassama to score24%
    • Tochi Phil Chukwuani to be booked20%

    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 · Rangers61% probability@1.88PinnacleEV+14%reference odds
    • 2 · Rangers61% probability@1.78BetsafeEV+8%reference odds
    • 2 · Rangers61% probability@1.78BetssonEV+8%reference odds
    Bookmaker1 · AberdeenX2 · Rangers
    Betsafe3.703.45
    EV+ 8%
    1.78
    Betsson3.703.45
    EV+ 8%
    1.78
    Nordicbet3.703.45
    EV+ 8%
    1.78
    Pinnacle4.073.81
    EV+ 14%
    1.88

    Odds updated 30 Aug, 05:14

    Odds movement

    Market signal

    The market has moved clearly towards a Aberdeen win since 23 August — the odds have shortened from 4.76 to 4.07 (−14%).

    1-14 %
    27 %17 %

    4.764.07

    X-7 %
    29 %19 %

    4.103.81

    2+14 %
    59 %49 %

    1.651.88

    Pinnacle · 10 recorded price levels · 23/08/2026 → 30/08/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    7 matches
    Aberdeen 1Draw 1Rangers 5
    Goals: 518 (⌀ 3,3)

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

    Key facts

    • Rangers dominate this fixture historically: 5 wins to 1 in 7 meetings.
    • A high-scoring fixture: 3.3 goals per meeting on average.
    • Rangers have scored in 16 consecutive league matches.
    xG & xGA per match — 3-game rolling average

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

    Aberdeen
    Rangers
    When goals are scored and conceded 2026
    Aberdeen (23)
    Rangers (23)
    Pass networks

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

    Aberdeen
    Daniel Keith Happe: 101 passningar, xT 0.16HappeNesta Pierre Guinness-Walker: 78 passningar, xT 0.54Guinness-WalkerLewis William Mayo: 61 passningar, xT 0.11MayoStuart Armstrong: 57 passningar, xT 0.29ArmstrongChris Cadden: 53 passningar, xT 0.08CaddenMarius Müller: 44 passningar, xT 0.11MüllerAfeez Aremu Olalekan: 43 passningar, xT 0.01OlalekanBrad Lyons: 40 passningar, xT 0.04LyonsConnor Patrick Ronan: 29 passningar, xT -0.01RonanAlexander Briedl: 19 passningar, xT 0.03BriedlOlutoyosi Tajudeen Oludamilola Olusanya: 18 passningar, xT 0.26Olusanya
    Rangers
    Cammy Devlin: 116 passningar, xT 0.07DevlinEmmanuel Fernandez: 102 passningar, xT 0.37FernandezTuur Rommens: 92 passningar, xT 0.35RommensOlwethu Mpilwenhle Makhanya: 83 passningar, xT 0.19MakhanyaFindlay Curtis: 56 passningar, xT -0.03CurtisThelo Aasgaard: 56 passningar, xT 0.01AasgaardIvor Pandur: 52 passningar, xT 0.06PandurMohammed Baba Diomande: 49 passningar, xT 0.15DiomandeNicolas Raskin: 41 passningar, xT 0.04RaskinVanja Dragojević: 37 passningar, xT 0.18DragojevićLawrence Shankland: 32 passningar, xT 0.3Shankland
    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
    Daniel Keith Happe: 101 passningar, xT 0.16HappeNesta Pierre Guinness-Walker: 78 passningar, xT 0.54Guinness-WalkerLewis William Mayo: 61 passningar, xT 0.11MayoStuart Armstrong: 57 passningar, xT 0.29ArmstrongChris Cadden: 53 passningar, xT 0.08CaddenMarius Müller: 44 passningar, xT 0.11MüllerAfeez Aremu Olalekan: 43 passningar, xT 0.01OlalekanBrad Lyons: 40 passningar, xT 0.04LyonsConnor Patrick Ronan: 29 passningar, xT -0.01RonanAlexander Briedl: 19 passningar, xT 0.03BriedlOlutoyosi Tajudeen Oludamilola Olusanya: 18 passningar, xT 0.26Olusanya
    Rangers
    Cammy Devlin: 116 passningar, xT 0.07DevlinEmmanuel Fernandez: 102 passningar, xT 0.37FernandezTuur Rommens: 92 passningar, xT 0.35RommensOlwethu Mpilwenhle Makhanya: 83 passningar, xT 0.19MakhanyaFindlay Curtis: 56 passningar, xT -0.03CurtisThelo Aasgaard: 56 passningar, xT 0.01AasgaardIvor Pandur: 52 passningar, xT 0.06PandurMohammed Baba Diomande: 49 passningar, xT 0.15DiomandeNicolas Raskin: 41 passningar, xT 0.04RaskinVanja Dragojević: 37 passningar, xT 0.18DragojevićLawrence Shankland: 32 passningar, xT 0.3Shankland

    The teams in numbers

    PerformanceAberdeenRangers
    Points31
    xPoints1.92.1
    xG per match1.62.1
    xGA per match21.8
    xG within 8s of winning the ball0.010.12
    xGA within 8s of losing the ball0.410.62
    Playing styleAberdeenRangers
    Build-up efficiency0.310.34
    Field tilt0.470.83
    xT per match1.11.7
    xTA per match0.690.46
    Won balls, offensive half3029
    Pressing intensity0.220.22
    Pressing efficiency0.460.45
    Pressing efficiency, offensive half0.430.37
    Entries into the box per match1423
    Entries into the box against107
    Pass completion %0.680.76
    Pass completion % under pressure0.60.71
    Passes per match297438
    Passes against per match265177
    Switches of play per match27.937.5
    Long balls per match3641
    Set piecesAberdeenRangers
    xG from free kicks0.560.06
    Corners per match3.98.5
    Corners against per match5.44
    xG per corner0.080.01
    xGA per corner against0.010.02
    First touch, offensive corners %0.380.44
    First touch, defensive corners %0.730.5
    OtherAberdeenRangers
    Throw-in control0.80.72
    The goalkeepersMarius Müller (Aberdeen)Ivor Pandur (Rangers)
    Saves82
    Save %73%40%
    xG prevented62%12%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Aberdeen vs Rangers according to our model?

    The model gives Rangers a 61% win probability. Full 1X2 picture: Aberdeen 17%, draw 22%, Rangers 61%.

    What is the most likely scoreline?

    The model's most likely final score is 1-2 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 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.