Scottish PremiershipRugby Park, Kilmarnock15°0,3 mm12 km/h

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    KilmarnockKilmarnockBalanced & physical
    vs
    St. MirrenSt. MirrenCounter-attacks & crosses
    The model's lean: 2 · St. Mirren (36%)Soft drawBest value by the model: X · Draw @ 3.40 (+3 %)

    KilmarnockSt. Mirren · Scottish Premiership

    1 · Kilmarnock 34%X 30%36% St. Mirren · 2

    Analysis: KilmarnockSt. Mirren

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

    The model gives St. Mirren a slight edge with a probability of 36% for victory, just ahead of Kilmarnock's 34%. This tight contest leans towards a 1-1 draw being the most likely outcome, making the draw a valuable option with a 2% edge at odds of 3.4 with Betsafe, Betsson, and Nordicbet. Player form trends favor St. Mirren, who remain unbeaten in their last five league games, overshadowing Kilmarnock's recent struggles with three consecutive losses.

    Kilmarnock's historical dominance in this fixture, with four wins in the last seven meetings, contrasts sharply with their current form. This sample is small and less impactful than the broader metrics. Expected goals tell a clear story: St. Mirren has an edge with 1.43 to Kilmarnock's 1.30. The visitors’ play on the counter combined with crosses could exploit Kilmarnock's current vulnerabilities, especially given the hosts’ defensive xGA of 3.9 per match.

    The anticipated rain might dampen the game's scoring potential, yet the historical average of 3.4 goals per match suggests otherwise. The over 2.5 goals probability sits at 51%, aligning with a high-scoring tendency. For those eyeing value, the draw stands out, priced attractively at 3.4, reflecting a promising angle.

    KilmarnockKilmarnock
    Form WWLLL
    League ranking xG #11xGA #12xT #6xP/match #12Points #12
    Key players
    • Greg KiltieFxG 0.25 · xT 0.10
    • Joseph Brennen HugillFxG 0.32 · xT -0.02
    • Tom LoweryCMxG 0.02 · xT 0.25
    St. MirrenSt. Mirren
    Form WDWWD
    League ranking xG #5xGA #2xT #4xP/match #3Points #2
    Key players
    • Eseosa SuleFxG 0.29 · xT 0.15
    • Killian PhillipsLWxG 0.75 · xT 0.09
    • Paul NsioCMxG 0.07 · xT 0.04

    Match prediction: KilmarnockSt. Mirren

    Predicted score matrix

    St. Mirren
    Kilmarnock
    0
    1
    2
    3
    4+
    0
    0–06.9%
    0–19.0%
    0–26.6%
    0–33.2%
    0–4+1.5%
    1
    1–08.2%
    1–112.5%
    1–28.6%
    1–34.1%
    1–4+2.0%
    2
    2–05.5%
    2–17.9%
    2–25.6%
    2–32.7%
    2–4+1.3%
    3
    3–02.4%
    3–13.4%
    3–22.4%
    3–31.2%
    3–4+0.6%
    4+
    4+–01.0%
    4+–11.5%
    4+–21.1%
    4+–30.5%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-112%
    2. 2.0-19%
    3. 3.1-29%
    4. 4.1-08%
    5. 5.2-18%
    Expected goals
    1,301,43
    Both teams to score
    56%

    Over/under goals

    Expected goals: 2,7
    Under 2,549%
    @2.02
    Over 2,551%
    @1.82

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance St. Mirren or draw (X2)66%
    • Over 1.5 goals76%

    Combined probability

    50%

    Fair odds

    1.99

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

    02 · 3 legs

    Balanced

    • Double chance St. Mirren or draw (X2)66%
    • Over 2.5 goals51%
    • Dan Nlundulu Konda 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 score56%
    • Over 2.5 goals51%
    • Brad Joseph Lyons to score25%
    • Jack Thomson to be booked19%

    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+).

    • X · Draw30% probability@3.40Bet365EV+3%reference odds
    • X · Draw30% probability@3.39PinnacleEV+2%reference odds
    Bookmaker1 · KilmarnockX2 · St. Mirren
    Bet3652.40
    EV+ 3%
    3.40
    2.70
    Betsafe2.803.202.42
    Betsson2.803.202.42
    Nordicbet2.803.202.42
    Pinnacle2.90
    EV+ 2%
    3.39
    2.41

    Odds updated 1 Sept, 14:31

    Odds movement

    Market signal

    The market has moved clearly towards an St. Mirren win since 30 August — the odds have shortened from 2.77 to 2.41 (−13%).

    1+16 %
    40 %30 %

    2.492.90

    X+2 %
    33 %23 %

    3.313.39

    2-13 %
    42 %32 %

    2.772.41

    Over 2,50 %
    58 %48 %

    1.811.81

    Pinnacle · 9 recorded price levels · 30/08/2026 → 01/09/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    7 matches
    Kilmarnock 4Draw 2St. Mirren 1
    Goals: 1410 (⌀ 3,4)

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

    Key facts

    • Kilmarnock dominate this fixture historically: 4 wins to 1 in 7 meetings.
    • A high-scoring fixture: 3.4 goals per meeting on average.
    • Kilmarnock have lost 3 in a row.
    • St. Mirren are unbeaten in their last 5 league matches.
    xG & xGA per match — 3-game rolling average

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

    Kilmarnock
    St. Mirren
    When goals are scored and conceded 2026
    Kilmarnock (413)
    St. Mirren (63)
    Pass networks

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

    Kilmarnock
    Tom Lowery: 137 passningar, xT 0.67LoweryGeorge Stanger: 101 passningar, xT 0.19StangerMichael Schjønning-Larsen: 97 passningar, xT 0.29Schjønning-LarsenMaksymilian Stryjek: 85 passningar, xT 0.08StryjekGreg Kiltie: 82 passningar, xT 0.22KiltieJamie Brandon: 78 passningar, xT 0.35BrandonAaron Tshibola: 72 passningar, xT 0.25TshibolaCathal McCarthy: 52 passningar, xT 0.11McCarthyEthan Lake Schilte-Brown: 42 passningar, xT 0.04Schilte-BrownJohnly Levi Yfeko: 32 passningar, xT 0.06YfekoErik Karl Hugo Ring: 31 passningar, xT 0.18Ring
    St. Mirren
    Alexandros Gogić: 132 passningar, xT 0.46GogićRyan George Carr: 117 passningar, xT 0.15CarrPaul Nsio: 89 passningar, xT 0.13NsioJacob Anthony Chapman: 78 passningar, xT 0.13ChapmanDeclan John: 69 passningar, xT 0.13JohnHenry Fieldson: 66 passningar, xT 0.26FieldsonSamuel Antonio Ramos Linares: 65 passningar, xT 0.25LinaresChristopher Robert Mochrie: 56 passningar, xT 0.15MochrieJayden Richardson: 55 passningar, xT 0.12RichardsonMarcus Ebenezer Fraser: 54 passningar, xT 0.1FraserKillian Phillips: 47 passningar, xT 0.17Phillips
    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.

    Kilmarnock
    Tom Lowery: 137 passningar, xT 0.67LoweryGeorge Stanger: 101 passningar, xT 0.19StangerMichael Schjønning-Larsen: 97 passningar, xT 0.29Schjønning-LarsenMaksymilian Stryjek: 85 passningar, xT 0.08StryjekGreg Kiltie: 82 passningar, xT 0.22KiltieJamie Brandon: 78 passningar, xT 0.35BrandonAaron Tshibola: 72 passningar, xT 0.25TshibolaCathal McCarthy: 52 passningar, xT 0.11McCarthyEthan Lake Schilte-Brown: 42 passningar, xT 0.04Schilte-BrownJohnly Levi Yfeko: 32 passningar, xT 0.06YfekoErik Karl Hugo Ring: 31 passningar, xT 0.18Ring
    St. Mirren
    Alexandros Gogić: 132 passningar, xT 0.46GogićRyan George Carr: 117 passningar, xT 0.15CarrPaul Nsio: 89 passningar, xT 0.13NsioJacob Anthony Chapman: 78 passningar, xT 0.13ChapmanDeclan John: 69 passningar, xT 0.13JohnHenry Fieldson: 66 passningar, xT 0.26FieldsonSamuel Antonio Ramos Linares: 65 passningar, xT 0.25LinaresChristopher Robert Mochrie: 56 passningar, xT 0.15MochrieJayden Richardson: 55 passningar, xT 0.12RichardsonMarcus Ebenezer Fraser: 54 passningar, xT 0.1FraserKillian Phillips: 47 passningar, xT 0.17Phillips

    The teams in numbers

    PerformanceKilmarnockSt. Mirren
    Points07
    xPoints1.55.4
    xG per match11.8
    xGA per match3.91.3
    xG within 8s of winning the ball0.10.5
    xGA within 8s of losing the ball0.760.26
    Playing styleKilmarnockSt. Mirren
    Build-up efficiency0.330.37
    Field tilt0.40.48
    xT per match11.2
    xTA per match2.20.81
    Won balls, offensive half2028
    Pressing intensity0.240.24
    Pressing efficiency0.220.28
    Pressing efficiency, offensive half0.190.17
    Entries into the box per match1117
    Entries into the box against1813
    Pass completion %0.740.74
    Pass completion % under pressure0.670.68
    Passes per match330323
    Passes against per match478384
    Switches of play per match28.621.5
    Long balls per match3728
    Set piecesKilmarnockSt. Mirren
    xG from free kicks00
    Corners per match3.76.3
    Corners against per match65.3
    xG per corner0.050.01
    xGA per corner against0.080.03
    First touch, offensive corners %0.450.37
    First touch, defensive corners %0.50.5
    OtherKilmarnockSt. Mirren
    Throw-in control0.740.61
    The goalkeepersMaksymilian Stryjek (Kilmarnock)Jacob Anthony Chapman (St. Mirren)
    Saves177
    Save %59%70%
    xG prevented42%96%
    Claims0 (0%)0 (0%)

    Frequently asked questions

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

    The model gives St. Mirren a 36% win probability. Full 1X2 picture: Kilmarnock 34%, draw 30%, St. Mirren 36%.

    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 51% and under at 49%.

    Will both teams score?

    The probability of both teams scoring is 56% 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.