Scottish PremiershipTynecastle Park, Edinburgh10°24 km/h

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    HeartsHeartsPossession control
    vs
    St. MirrenSt. MirrenPossession control
    The model's lean: 1 · Hearts (66%)Best value by the model: Under 2,5 @ 2.52 (+12 %)

    Hearts vs St. Mirren · Scottish Premiership

    1 · Hearts 66%X 20%13% St. Mirren · 2

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    Analysis: Hearts – St. Mirren

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

    Hearts have the upper hand going into their match against St. Mirren, with a 66% chance of victory according to the model. This fixture looks like it could tilt toward the hosts, and not just because of their superior form. Hearts have scored in 15 consecutive league matches and boast a 66% winning rate at home, backed by a solid xG of 1.7 per match. In contrast, the visitors are struggling, coming off three consecutive losses, and generating only 1.4 xG per match.

    Despite both teams favoring possession control, the hosts seem more adept at converting this style into tangible results. Hearts have a slight edge in points, xPoints, and a significantly better defensive record, conceding only 1.1 xGA per match compared to St. Mirren’s 1.7. These metrics suggest that the hosts are likely to control the tempo and create more opportunities, making a 2-0 or 1-0 scoreline—favored by the model—quite plausible.

    The head-to-head record since 2023 is evenly split, with Hearts slightly ahead at three wins to St. Mirren’s two. However, with only six matches in the sample, this rivalry data weighs less than the current form and expected goals. Hearts' ability to find the net consistently, combined with St. Mirren's recent defensive struggles, points to a win for the hosts.

    While the model gives a 55% chance for over 2.5 goals, the strongest betting angle here lies in the under markets. LeoVegas offers under 2.5 goals at odds of 2.45, providing a 9% edge. Given the control-oriented styles and St. Mirren’s recent form, there’s potential value in expecting a lower-scoring affair. If you're looking for a safer bet, under 3.5 and under 4.5 are also priced with positive expected value. This could well be a controlled match dominated by Hearts, where defense and possession dictate the outcome.

    HeartsHearts
    Form WWWLD
    League ranking xG #4xGA #3xT #4xP/match #3Points #3
    Key players
    • James WilsonFxG 0.40 · xT 0.02
    • Sabah KerjotaRWxG 0.19 · xT 0.07
    • Jordi AltenaRWBxG 0.02 · xT 0.04
    St. MirrenSt. Mirren
    Form DWLLL
    League ranking xG #6xGA #10xT #6xP/match #6Points #5
    Key players
    • Fraser TaylorCAMxG 0.21 · xT 0.17
    • Eseosa SuleFxG 0.18 · xT 0.07
    • Ryan George CarrCMxG 0.04 · xT 0.08

    Match prediction: Hearts – St. Mirren

    Predicted score matrix

    St. Mirren →
    Hearts →
    0
    1
    2
    3
    4+
    0
    0–05.8%
    0–14.2%
    0–21.8%
    0–30.5%
    0–4+0.1%
    1
    1–011.2%
    1–19.6%
    1–23.8%
    1–31.0%
    1–4+0.2%
    2
    2–012.0%
    2–19.7%
    2–24.0%
    2–31.1%
    2–4+0.3%
    3
    3–08.3%
    3–16.8%
    3–22.8%
    3–30.7%
    3–4+0.2%
    4+
    4+–07.0%
    4+–15.7%
    4+–22.3%
    4+–30.6%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.2-012%
    2. 2.1-011%
    3. 3.2-110%
    4. 4.1-110%
    5. 5.3-08%
    Expected goals
    2,08–0,81
    Both teams to score
    49%

    Over/under goals

    Expected goals: 2,9
    Under 2,545%
    @2.52EV+12%
    Over 2,555%
    @1.50

    Ready-made bet suggestions

    More combos & build your own →

    01 · 2 legs

    Safe

    • Hearts to win66%
    • Over 1.5 goals79%

    Combined probability

    55%

    Fair odds

    1.81

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

    02 · 3 legs

    Balanced

    • Hearts to win66%
    • Over 2.5 goals55%
    • Pierre Landry Kabore to score26%

    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 score49%
    • Over 2.5 goals55%
    • Pierre Landry Kabore to score26%
    • Paul Nsio to be booked26%

    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+).

    • Under 2.545% probability@2.52BetsafeEV+12%reference odds
    • Under 2.545% probability@2.52NordicbetEV+12%reference odds
    • Under 2.545% probability@2.50LeoVegasEV+12%reference odds
    Bookmaker1 · HeartsX2 · St. Mirren
    Betsafe1.454.306.30
    LeoVegas1.424.605.75
    Nordicbet1.454.306.30

    Odds updated 4 Oct, 02:36

    Odds movement

    10 %
    67 %62 %

    1.42 → 1.42

    X0 %
    22 %17 %

    4.60 → 4.60

    20 %
    18 %13 %

    5.75 → 5.75

    Over 2,5+2 %
    65 %60 %

    1.44 → 1.47

    LeoVegas · 2 recorded price levels · 02/10/2026 → 03/10/2026 · fixed scale 5 percentage points

    Statistics

    Head-to-head

    6 matches
    Hearts 3Draw 1St. Mirren 2
    Goals: 12–6 (⌀ 3)

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

    Key facts

    • A high-scoring fixture: 3.0 goals per meeting on average.
    • Hearts have scored in 15 consecutive league matches.
    • St. Mirren have lost 3 in a row.
    • Hearts win 66% of their home matches all-time (41 played).
    xG & xGA per match — 3-game rolling average

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

    Hearts
    St. Mirren
    When goals are scored and conceded — 2026
    Hearts (14–8)
    St. Mirren (8–9)
    Pass networks

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

    Hearts
    Jamie Mccart: 276 passningar, xT 0.38MccartStuart Findlay: 233 passningar, xT 0.1FindlayJordi Altena: 183 passningar, xT 0.2AltenaBeau Reus: 176 passningar, xT 0.01ReusLaurent Mendy: 156 passningar, xT -0.01MendyOisin Mcentee: 131 passningar, xT 0.31McenteeChristian Dahle Borchgrevink: 130 passningar, xT 0.62BorchgrevinkHarry Milne: 116 passningar, xT 0.72MilneTómas Bent Magnússon: 101 passningar, xT 0.31MagnússonJoshua McPake: 87 passningar, xT 0.95McPakeStephen Iain Kingsley: 85 passningar, xT 0.17Kingsley
    St. Mirren
    Alexandros Gogić: 257 passningar, xT 0.7GogićRyan George Carr: 253 passningar, xT 0.45CarrHenry Fieldson: 243 passningar, xT 0.36FieldsonDeclan John: 196 passningar, xT 0.36JohnFraser Taylor: 190 passningar, xT 0.46TaylorCalvin William Ramsay: 165 passningar, xT 0.33RamsayJacob Anthony Chapman: 142 passningar, xT 0.26ChapmanPaul Nsio: 104 passningar, xT -0.11NsioIsmeal Kabia: 83 passningar, xT 0.49KabiaChristopher Robert Mochrie: 77 passningar, xT 0.24MochrieNikolas Agrafiotis: 41 passningar, xT -0.19Agrafiotis
    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.

    Hearts
    Jamie Mccart: 276 passningar, xT 0.38MccartStuart Findlay: 233 passningar, xT 0.1FindlayJordi Altena: 183 passningar, xT 0.2AltenaBeau Reus: 176 passningar, xT 0.01ReusLaurent Mendy: 156 passningar, xT -0.01MendyOisin Mcentee: 131 passningar, xT 0.31McenteeChristian Dahle Borchgrevink: 130 passningar, xT 0.62BorchgrevinkHarry Milne: 116 passningar, xT 0.72MilneTómas Bent Magnússon: 101 passningar, xT 0.31MagnússonJoshua McPake: 87 passningar, xT 0.95McPakeStephen Iain Kingsley: 85 passningar, xT 0.17Kingsley
    St. Mirren
    Alexandros Gogić: 257 passningar, xT 0.7GogićRyan George Carr: 253 passningar, xT 0.45CarrHenry Fieldson: 243 passningar, xT 0.36FieldsonDeclan John: 196 passningar, xT 0.36JohnFraser Taylor: 190 passningar, xT 0.46TaylorCalvin William Ramsay: 165 passningar, xT 0.33RamsayJacob Anthony Chapman: 142 passningar, xT 0.26ChapmanPaul Nsio: 104 passningar, xT -0.11NsioIsmeal Kabia: 83 passningar, xT 0.49KabiaChristopher Robert Mochrie: 77 passningar, xT 0.24MochrieNikolas Agrafiotis: 41 passningar, xT -0.19Agrafiotis

    The teams in numbers

    PerformanceHeartsSt. Mirren
    Points1310
    xPoints11.49.8
    xG per match1.71.4
    xGA per match1.11.7
    xG within 8s of winning the ball0.270.31
    xGA within 8s of losing the ball0.250.31
    Playing styleHeartsSt. Mirren
    Build-up efficiency0.330.37
    Field tilt0.610.46
    xT per match1.11
    xTA per match0.70.91
    Won balls, offensive half2523
    Pressing intensity0.210.24
    Pressing efficiency0.320.29
    Pressing efficiency, offensive half0.270.21
    Entries into the box per match1413
    Entries into the box against1014
    Pass completion %0.750.76
    Pass completion % under pressure0.680.7
    Passes per match370357
    Passes against per match289383
    Switches of play per match3923.5
    Long balls per match4131
    Set piecesHeartsSt. Mirren
    xG from free kicks0.050.03
    Corners per match7.44.5
    Corners against per match3.47.3
    xG per corner0.030.01
    xGA per corner against0.020.03
    First touch, offensive corners %0.460.41
    First touch, defensive corners %0.750.52
    OtherHeartsSt. Mirren
    Throw-in control0.770.71
    The goalkeepersBeau Reus (Hearts)Jacob Anthony Chapman (St. Mirren)
    Saves926
    Save %56%74%
    xG prevented26%83%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

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

    The model gives Hearts a 66% win probability. Full 1X2 picture: Hearts 66%, draw 20%, St. Mirren 13%.

    What is the most likely scoreline?

    The model's most likely final score is 2-0 at 12% probability.

    Over or under 2.5 goals?

    The model rates over 2.5 goals at 55% and under at 45%.

    Will both teams score?

    The probability of both teams scoring is 49% 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.