Scottish PremiershipIbrox Stadium, Glasgow15°7,3 mm19 km/h

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    RangersRangersCounter-attacks & crosses
    12
    HibernianHibernianPossession & high press
    The model's lean: 1 · Rangers (61%)Best value by the model: No @ 2.25 (+6 %)

    RangersHibernian · Scottish Premiership

    1 · Rangers 61%X 21%18% Hibernian · 2

    Analysis: RangersHibernian

    Erik Lindberg · · How the predictions work

    Rangers have been relentless in finding the back of the net, with a scoring streak that spans 15 consecutive league matches. This penchant for goals makes their upcoming clash against Hibernian at Ibrox particularly intriguing. While the model gives Rangers a 61% chance of victory, suggesting a lean towards the home side, the probabilities indicate a tight contest, with 1-1, 2-0, and 1-0 scorelines all equally likely at 10%.

    Rangers, who take pride in their counter-attacking style, face a Hibernian squad that favors possession and a high press. This clash of strategies might tilt the match in Rangers' favor, as Hibernian's approach could leave them vulnerable to counter-attacks. Despite Hibernian's resolve, their defensive vulnerabilities are evident in their expected goals against (xGA) of 1.5 per match, which is notably higher than Rangers' 1.3. The weather, with 4.7 mm of rain predicted, is likely to have a dampening effect on the goal tally, although it has been factored into the model's numbers.

    Rangers' home form is formidable, winning 66% of their home matches in the league, but recent head-to-head encounters with Hibernian since 2023 show a balanced record: three wins, three draws, and two losses. While this sample is small and shouldn't overshadow current form, it hints at Hibernian's ability to challenge Rangers. Yet, with Rangers' xG per match at 2.2 compared to Hibernian's 2.0, the home side seems to have the upper hand offensively.

    For those eyeing the betting markets, value (EV+) emerges in several areas. Notably, "no" on both teams to score at odds of 2.25 with Bet365 offers a 6% edge, aligning with the weather's potential impact. Moreover, the under 2.5 goals market at odds of 2.375 shows a 5% edge, appealing for those expecting the rain to stifle goals. Ultimately, a 2-0 Rangers victory seems plausible, especially with the weather acting as a 12th man in keeping the scoreline modest.

    RangersRangers
    Form LLLWD
    League ranking xG #3xGA #4xT #2xP/match #6Points #6
    Key players
    • Youssef Ramalho ChermitiFxG 0.50 · xT 0.09
    • James TavernierRWBxG 0.28 · xT 0.21
    • Bojan MiovskiFxG 0.49 · xT 0.00
    HibernianHibernian
    Form LWWLL
    League ranking xG #4xGA #6xT #3xP/match #5Points #9
    Key players
    • Martin Callie BoyleFxG 0.32 · xT 0.09
    • Nicky CaddenLWxG 0.07 · xT 0.26
    • Kieron Thomas BowieFxG 0.26 · xT 0.06
    Final score
    12
    The model missed the outcome
    Predicted probabilities: Rangers 61% · Draw 21% · Hibernian 18%

    Match prediction: RangersHibernian

    Predicted score matrix

    Hibernian
    Rangers
    0
    1
    2
    3
    4+
    0
    0–05.7%
    0–14.9%
    0–22.5%
    0–30.8%
    0–4+0.2%
    1
    1–010.4%
    1–110.4%
    1–24.9%
    1–31.5%
    1–4+0.5%
    2
    2–010.4%
    2–19.9%
    2–24.7%
    2–31.5%
    2–4+0.4%
    3
    3–06.8%
    3–16.5%
    3–23.1%
    3–31.0%
    3–4+0.3%
    4+
    4+–05.2%
    4+–15.0%
    4+–22.4%
    4+–30.8%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-010%
    3. 3.1-010%
    4. 4.2-110%
    5. 5.3-07%
    Expected goals
    1,960,96
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,9
    Under 2,544%
    @2.38EV+5%
    Over 2,556%
    @1.57

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Rangers to win61%
    • Over 1.5 goals79%

    Combined probability

    50%

    Fair odds

    2.00

    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 goals56%
    • Djeidi Gassama to score31%

    Combined probability

    12%

    Fair odds

    8.10

    Result and goals are priced jointly from the matrix; the scorer is the model's most likely in the picked side.

    03 · 4 legs

    Bold

    • Both teams to score53%
    • Over 2.5 goals56%
    • Djeidi Gassama to score31%
    • Warren Patrick O'Hora to be booked23%

    Combined probability

    3%

    Fair odds

    32.68

    The goal-fest: both teams score with at least three goals — combined with the match's most likely scorer and card candidate.

    Odds & value

    The model's value spots

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

    • Both teams to score: No47% probability@2.25Bet365EV+6%
    • Under 2.544% probability@2.38Bet365EV+5%
    • Under 1.521% probability@5.00Bet365EV+5%
    Bookmaker1 · RangersX2 · Hibernian
    Bet365
    EV+ 4%
    1.70
    4.004.33
    Pinnacle1.544.55
    EV+ 3%
    5.76

    Odds updated 9 Aug, 10:09

    Odds movement

    1+2 %
    64 %59 %

    1.521.54

    X+2 %
    24 %19 %

    4.454.55

    2+3 %
    19 %14 %

    5.605.76

    Pinnacle · 11 recorded price levels · 03/08/2026 → 09/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    8 matches
    Rangers 3Draw 3Hibernian 2
    Goals: 99 (⌀ 2,2)

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

    Key facts

    • Rangers have scored in 15 consecutive league matches.
    • Rangers win 66% of their home matches all-time (38 played).
    xG & xGA per match — 3-game rolling average

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

    Rangers
    Hibernian
    When goals are scored and conceded 2026
    Rangers (11)
    Hibernian (12)
    Pass networks

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

    Rangers
    Thelo Aasgaard: 38 passningar, xT 0.1AasgaardCammy Devlin: 34 passningar, xT 0.01DevlinDujon Sterling: 28 passningar, xT 0.54SterlingTuur Rommens: 27 passningar, xT 0.03RommensMohammed Baba Diomande: 26 passningar, xT 0.04DiomandeEmmanuel Fernandez: 25 passningar, xT 0.13FernandezIvor Pandur: 21 passningar, xT 0.03PandurDaniel Neil: 20 passningar, xT 0.23NeilRoss McCrorie: 16 passningar, xT 0.06McCrorieBenjamin Matthew Godfrey: 14 passningar, xT 0.04GodfreyLawrence Shankland: 13 passningar, xT -0.04Shankland
    Hibernian
    Jason John Kerr: 69 passningar, xT 0.01KerrWarren Ohora: 49 passningar, xT 0.21OhoraJordan Obita: 48 passningar, xT 0.16ObitaMiguel Chaiwa: 46 passningar, xT -0.01ChaiwaFelix Passlack: 38 passningar, xT 0.08PasslackJosh Mulligan: 37 passningar, xT 0.17MulliganOwen Elding: 22 passningar, xT 0.27EldingAzeem Kerr Abdulai: 22 passningar, xT 0.02AbdulaiRaphael Sallinger: 20 passningar, xT 0.03SallingerAdam Mayor: 17 passningar, xT 0.13MayorMartin Callie Boyle: 8 passningar, xT -0.02Boyle
    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.

    Rangers
    Thelo Aasgaard: 38 passningar, xT 0.1AasgaardCammy Devlin: 34 passningar, xT 0.01DevlinDujon Sterling: 28 passningar, xT 0.54SterlingTuur Rommens: 27 passningar, xT 0.03RommensMohammed Baba Diomande: 26 passningar, xT 0.04DiomandeEmmanuel Fernandez: 25 passningar, xT 0.13FernandezIvor Pandur: 21 passningar, xT 0.03PandurDaniel Neil: 20 passningar, xT 0.23NeilRoss McCrorie: 16 passningar, xT 0.06McCrorieBenjamin Matthew Godfrey: 14 passningar, xT 0.04GodfreyLawrence Shankland: 13 passningar, xT -0.04Shankland
    Hibernian
    Jason John Kerr: 69 passningar, xT 0.01KerrWarren Ohora: 49 passningar, xT 0.21OhoraJordan Obita: 48 passningar, xT 0.16ObitaMiguel Chaiwa: 46 passningar, xT -0.01ChaiwaFelix Passlack: 38 passningar, xT 0.08PasslackJosh Mulligan: 37 passningar, xT 0.17MulliganOwen Elding: 22 passningar, xT 0.27EldingAzeem Kerr Abdulai: 22 passningar, xT 0.02AbdulaiRaphael Sallinger: 20 passningar, xT 0.03SallingerAdam Mayor: 17 passningar, xT 0.13MayorMartin Callie Boyle: 8 passningar, xT -0.02Boyle

    The teams in numbers

    PerformanceRangersHibernian
    Points10
    xPoints1.41.5
    xG per match2.22
    xGA per match1.31.5
    xG within 8s of winning the ball0.20.45
    xGA within 8s of losing the ball00
    Playing styleRangersHibernian
    Build-up efficiency0.340.33
    Field tilt0.760.63
    xT per match1.51.4
    xTA per match0.510.42
    Won balls, offensive half3337
    Pressing intensity0.230.23
    Pressing efficiency0.460.21
    Pressing efficiency, offensive half0.620.25
    Entries into the box per match2017
    Entries into the box against88
    Pass completion %0.670.79
    Pass completion % under pressure0.660.76
    Passes per match287404
    Passes against per match218455
    Switches of play per match25.635.8
    Long balls per match3327
    Set piecesRangersHibernian
    xG from free kicks0.110
    Corners per match10.29.2
    Corners against per match5.12
    xG per corner00.01
    xGA per corner against0.030
    First touch, offensive corners %0.440.25
    First touch, defensive corners %0.60.5
    OtherRangersHibernian
    Throw-in control0.691
    The goalkeepersIvor Pandur (Rangers)Raphael Sallinger (Hibernian)
    Saves23
    Save %67%60%
    xG prevented28%26%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Rangers vs Hibernian according to our model?

    The model gives Rangers a 61% win probability. Full 1X2 picture: Rangers 61%, draw 21%, Hibernian 18%.

    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 56% and under at 44%.

    Will both teams score?

    The probability of both teams scoring is 53% 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.

    More matches in the league

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