Scottish PremiershipSt Mirren Park, Paisley16°6,9 mm22 km/h

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    St. MirrenSt. MirrenCounter-attacks & crosses
    10
    St. JohnstoneSt. JohnstonePossession & high press
    The model's lean: 1 · St. Mirren (50%)

    St. MirrenSt. Johnstone · Scottish Premiership

    1 · St. Mirren 50%X 28%22% St. Johnstone · 2

    Analysis: St. MirrenSt. Johnstone

    Anna Karlsson · · A data-driven preview · How the predictions work

    St. Mirren finds themselves in a promising position, boasting a 50% chance of victory against St. Johnstone's modest 22%. The numbers are telling; they suggest a tilt in favour of the home side, who have already won two of their three encounters since 2023. Despite St. Johnstone's high press and possession game, St. Mirren's effective counter-attacking strategy, especially their xG within 8 seconds of winning the ball (0.57), could be the key differentiator.

    St. Mirren's expected goals at 1.55 compared to St. Johnstone's 1.03 indicates that the hosts are likely to create more clear-cut chances. The most likely scoreline predictions lean slightly towards a tight contest with 1-1 (12%) edging out 1-0 (11%), yet the home advantage and recent head-to-head performance suggest St. Mirren could eke out a 1-0 or perhaps a 2-1 victory.

    St. Johnstone's defensive metrics show vulnerability, with an xGA of 0.85, which is slightly better than St. Mirren's 0.71, suggesting that St. Mirren's defense could comfortably handle St. Johnstone's high press. The over/under 2.5 goals market sits almost at a coin flip with a 48% probability for over, but the under 2.5 at odds of 2.0 with Pinnacle shows a small edge, suggesting a cautious approach to goal-scoring in this fixture.

    In terms of betting value, St. Mirren at home offers a compelling 16% edge with odds of 2.34 at Pinnacle, aligning neatly with the model's 50% win probability. For those leaning towards a conservative play, the under 2.5 goals bet at 2.0 odds represents a solid 5% edge. With defensive strengths on both sides and a potential for a tactical stalemate, the prudent punter might find the home win or under 2.5 goals the sharpest angles in this Scottish Premiership clash.

    St. MirrenSt. Mirren
    Form LWDWW
    League ranking xG #4xGA #2xT #5xP/match #2Points #2
    Key players
    • Eseosa SuleFxG 0.27 · xT 0.13
    • Killian PhillipsLWxG 0.75 · xT 0.09
    • Paul NsioCMxG 0.04 · xT 0.08
    St. JohnstoneSt. Johnstone
    Form WLLWL
    League ranking xG #6xGA #4xT #6xP/match #6Points #5
    Key players
    • Matthew Colin FouldsLWBxG 0.04 · xT 0.20
    • Josh FowlerFxG 0.18 · xT 0.04
    • Zach MitchellCBxG 0.00 · xT 0.09
    Final score
    10
    The model called the outcome
    Predicted probabilities: St. Mirren 50% · Draw 28% · St. Johnstone 22%

    Match prediction: St. MirrenSt. Johnstone

    Predicted score matrix

    St. Johnstone
    St. Mirren
    0
    1
    2
    3
    4+
    0
    0–07.9%
    0–17.5%
    0–24.0%
    0–31.4%
    0–4+0.4%
    1
    1–011.4%
    1–112.4%
    1–26.2%
    1–32.1%
    1–4+0.7%
    2
    2–09.1%
    2–19.4%
    2–24.8%
    2–31.6%
    2–4+0.5%
    3
    3–04.7%
    3–14.8%
    3–22.5%
    3–30.9%
    3–4+0.3%
    4+
    4+–02.6%
    4+–12.7%
    4+–21.4%
    4+–30.5%
    4+–4+0.1%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.1-011%
    3. 3.2-19%
    4. 4.2-09%
    5. 5.0-08%
    Expected goals
    1,551,03
    Both teams to score
    51%

    Over/under goals

    Expected goals: 2,6
    Under 2,552%
    @2.00EV+5%
    Over 2,548%
    @1.88

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • St. Mirren to win50%
    • Under 3.5 goals74%

    Combined probability

    35%

    Fair odds

    2.88

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

    02 · 3 legs

    Balanced

    • St. Mirren to win50%
    • Under 2.5 goals52%
    • Killian Phillips to score18%

    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 score51%
    • Over 2.5 goals48%
    • Killian Phillips to score18%
    • Zach Joseph Mitchell to be booked18%

    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 · St. Mirren50% probability@2.41PinnacleEV+19%reference odds
    • Under 2.552% probability@2.00PinnacleEV+5%reference odds
    Bookmaker1 · St. MirrenX2 · St. Johnstone
    Pinnacle
    EV+ 19%
    2.41
    3.283.15

    Odds updated 8 Aug, 04:52

    Odds movement

    1+7 %
    44 %39 %

    2.262.41

    X-1 %
    31 %26 %

    3.333.28

    2+2 %
    33 %28 %

    3.103.15

    Over 2,5+1 %
    54 %49 %

    1.861.88

    Pinnacle · 11 recorded price levels · 02/08/2026 → 08/08/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    4 matches
    St. Mirren 3Draw 0St. Johnstone 1
    Goals: 74 (⌀ 2,8)

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

    xG & xGA per match — 3-game rolling average

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

    St. Mirren
    St. Johnstone
    When goals are scored and conceded 2026
    St. Mirren (30)
    St. Johnstone (44)
    Pass networks

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

    St. Mirren
    Alexandros Gogić: 81 passningar, xT 0.1GogićRyan George Carr: 73 passningar, xT 0.08CarrPaul Nsio: 62 passningar, xT 0.16NsioMarcus Ebenezer Fraser: 54 passningar, xT 0.1FraserJayden Richardson: 51 passningar, xT 0.12RichardsonJacob Anthony Chapman: 50 passningar, xT 0.03ChapmanKillian Phillips: 47 passningar, xT 0.17PhillipsSamuel Antonio Ramos Linares: 45 passningar, xT 0.09LinaresDeclan John: 43 passningar, xT 0.11JohnChristopher Robert Mochrie: 39 passningar, xT 0.19MochrieHenry Fieldson: 23 passningar, xT 0.24Fieldson
    St. Johnstone
    Cheick Tiemoko Diabate: 127 passningar, xT 0.27DiabateMatthew Colin Foulds: 109 passningar, xT 0.39FouldsReece McAlear: 99 passningar, xT 0.12McAlearZach Mitchell: 92 passningar, xT 0.19MitchellJason Holt: 73 passningar, xT 0.15HoltLiam Smith: 66 passningar, xT 0.11SmithToby Peter Gary Steward: 54 passningar, xT 0.03StewardJames Gullan: 53 passningar, xT 0.17GullanSamuel Stanton: 46 passningar, xT -0.06StantonRuari Paton: 31 passningar, xT 0PatonJosh Fowler: 22 passningar, xT 0.06Fowler
    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.

    St. Mirren
    Alexandros Gogić: 81 passningar, xT 0.1GogićRyan George Carr: 73 passningar, xT 0.08CarrPaul Nsio: 62 passningar, xT 0.16NsioMarcus Ebenezer Fraser: 54 passningar, xT 0.1FraserJayden Richardson: 51 passningar, xT 0.12RichardsonJacob Anthony Chapman: 50 passningar, xT 0.03ChapmanKillian Phillips: 47 passningar, xT 0.17PhillipsSamuel Antonio Ramos Linares: 45 passningar, xT 0.09LinaresDeclan John: 43 passningar, xT 0.11JohnChristopher Robert Mochrie: 39 passningar, xT 0.19MochrieHenry Fieldson: 23 passningar, xT 0.24Fieldson
    St. Johnstone
    Cheick Tiemoko Diabate: 127 passningar, xT 0.27DiabateMatthew Colin Foulds: 109 passningar, xT 0.39FouldsReece McAlear: 99 passningar, xT 0.12McAlearZach Mitchell: 92 passningar, xT 0.19MitchellJason Holt: 73 passningar, xT 0.15HoltLiam Smith: 66 passningar, xT 0.11SmithToby Peter Gary Steward: 54 passningar, xT 0.03StewardJames Gullan: 53 passningar, xT 0.17GullanSamuel Stanton: 46 passningar, xT -0.06StantonRuari Paton: 31 passningar, xT 0PatonJosh Fowler: 22 passningar, xT 0.06Fowler

    The teams in numbers

    PerformanceSt. MirrenSt. Johnstone
    Points63
    xPoints3.82.7
    xG per match1.61.6
    xGA per match0.981.3
    xG within 8s of winning the ball0.370.26
    xGA within 8s of losing the ball0.260.1
    Playing styleSt. MirrenSt. Johnstone
    Build-up efficiency0.370.3
    Field tilt0.490.58
    xT per match1.10.92
    xTA per match0.690.8
    Won balls, offensive half2728
    Pressing intensity0.260.22
    Pressing efficiency0.310.31
    Pressing efficiency, offensive half0.210.25
    Entries into the box per match1313
    Entries into the box against109
    Pass completion %0.730.78
    Pass completion % under pressure0.650.72
    Passes per match315400
    Passes against per match349354
    Switches of play per match17.630.6
    Long balls per match2236
    Set piecesSt. MirrenSt. Johnstone
    xG from free kicks00
    Corners per match64
    Corners against per match4.54
    xG per corner00.1
    xGA per corner against0.020.01
    First touch, offensive corners %0.420.62
    First touch, defensive corners %0.670.62
    OtherSt. MirrenSt. Johnstone
    Throw-in control0.620.76
    The goalkeepersJacob Anthony Chapman (St. Mirren)Toby Peter Gary Steward (St. Johnstone)
    Saves36
    Save %100%67%
    xG prevented100%29%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins St. Mirren vs St. Johnstone according to our model?

    The model gives St. Mirren a 50% win probability. Full 1X2 picture: St. Mirren 50%, draw 28%, St. Johnstone 22%.

    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 48% and under at 52%.

    Will both teams score?

    The probability of both teams scoring is 51% 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.