Scottish PremiershipCeltic Park, Glasgow10°17 km/h

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    CelticCelticPossession & high press
    vs
    HeartsHeartsPossession control
    The model's lean: 1 · Celtic (61%)Best value by the model: 2 · Hearts @ 6.30 (+17 %)

    Celtic vs Hearts · Scottish Premiership

    1 · Celtic 61%X 21%19% Hearts · 2

    Prediction summary

    BetBuilders AI model prediction for Celtic vs Hearts (Scottish Premiership, Saturday, 17 October 2026): Celtic win 61%, draw 21%, Hearts win 19%. Expected goals (xG): Celtic 2.02, Hearts 1.19. Most likely score: 1-1 (10%). Over 2.5 goals 62%, both teams to score 61%. Double chance: Celtic or draw 81%, Hearts or draw 39%. Prediction updated Friday, 9 October 2026.

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    Analysis: Celtic – Hearts

    Marcus Johansson · · Analysis from the match model · How the predictions work

    TEXT: Celtic's commanding 61% win probability sets the stage at Celtic Park, where they historically claim victory in 80% of their fixtures. Their possession-heavy, high-pressing style is a strategic pillar, consistently yielding a higher xG per match compared to Hearts. The hosts' expected goals tally of 2.02 suggests a potent attacking performance, although Hearts' scoring streak—finding the net in 15 consecutive league matches—indicates potential resistance.

    The visitors, despite their propensity for possession control, face an uphill battle. Hearts' xG of 1.19 per game pales next to Celtic's, and their all-time record in this fixture isn't encouraging, with only two wins in the last seven meetings. Yet, their ability to score consistently keeps them in contention, aligning with the model’s 61% likelihood for both teams to score. This match features a high-scoring precedent, averaging 3.6 goals historically, yet the predicted 2.4 mm of rain could temper goal-scoring exploits.

    For the bettors, the model suggests a slight lean towards a 2-1 or 2-0 scoreline in favor of Celtic, with a noteworthy over 2.5 goals sitting at 62%, given the consistent offensive output from both sides.

    CelticCeltic
    Form WWWWL
    League ranking xG #1xGA #1xT #1xP/match #1Points #1
    Key players
    • Camilo Andres Durán MarquezFxG 0.46 · xT 0.14
    • Hyun-Jun YangLWxG 0.44 · xT 0.07
    • Arne EngelsCMxG 0.19 · xT 0.31
    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

    Match prediction: Celtic – Hearts

    Predicted score matrix

    Hearts →
    Celtic →
    0
    1
    2
    3
    4+
    0
    0–04.3%
    0–14.5%
    0–22.9%
    0–31.1%
    0–4+0.4%
    1
    1–07.9%
    1–110.0%
    1–25.8%
    1–32.3%
    1–4+0.9%
    2
    2–08.2%
    2–19.8%
    2–25.8%
    2–32.3%
    2–4+0.9%
    3
    3–05.5%
    3–16.6%
    3–23.9%
    3–31.6%
    3–4+0.6%
    4+
    4+–04.5%
    4+–15.3%
    4+–23.2%
    4+–31.3%
    4+–4+0.5%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.2-110%
    3. 3.2-08%
    4. 4.1-08%
    5. 5.3-17%
    Expected goals
    2,02–1,19
    Both teams to score
    61%

    Over/under goals

    Expected goals: 3,2
    Under 2,538%
    @2.63
    Over 2,562%
    @1.50

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    01 · 2 legs

    Safe

    • Celtic to win61%
    • Over 1.5 goals83%

    Combined probability

    48%

    Fair odds

    2.07

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

    02 · 3 legs

    Balanced

    • Celtic to win61%
    • Over 2.5 goals62%
    • Kasper Waarts Thenza Høgh to score31%

    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 score61%
    • Over 2.5 goals62%
    • Kasper Waarts Thenza Høgh to score31%
    • Laurent Mendy to be booked27%

    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 · Hearts19% probability@6.30BetsafeEV+17%reference odds
    • 2 · Hearts19% probability@6.30NordicbetEV+17%reference odds
    • 2 · Hearts19% probability@6.25Bet365EV+16%reference odds
    Bookmaker1 · CelticX2 · Hearts
    Bet3651.444.50
    EV+ 16%
    6.25
    Betsafe1.424.55
    EV+ 17%
    6.30
    LeoVegas1.404.50
    EV+ 11%
    6.00
    Nordicbet1.424.55
    EV+ 17%
    6.30

    Odds updated 9 Oct, 17:38

    Statistics

    Head-to-head

    7 matches
    Celtic 4Draw 1Hearts 2
    Goals: 16–9 (⌀ 3,6)

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

    Key facts

    • Celtic FC dominate this fixture historically: 4 wins to 2 in 7 meetings.
    • A high-scoring fixture: 3.6 goals per meeting on average.
    • Hearts have scored in 15 consecutive league matches.
    • Celtic FC win 80% of their home matches all-time (61 played).
    xG & xGA per match — 3-game rolling average

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

    Celtic
    Hearts
    When goals are scored and conceded — 2026
    Celtic (14–4)
    Hearts (14–8)
    Pass networks

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

    Celtic
    Liam Scales: 313 passningar, xT 0.64ScalesAuston Trusty: 310 passningar, xT 0.42TrustyCameron Robert Carter-Vickers: 274 passningar, xT 0.31Carter-VickersColby Donovan: 249 passningar, xT 0.43DonovanCallum Mcgregor: 236 passningar, xT 0.16McgregorMika Joel Baur: 188 passningar, xT 0.51BaurViljami Sinisalo: 148 passningar, xT 0.04SinisaloBenjamin Nygren: 129 passningar, xT 0.16NygrenHaissem Hassan: 102 passningar, xT 1.66HassanHyun-Jun Yang: 96 passningar, xT 0.25YangDane Murray: 84 passningar, xT 0.08Murray
    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
    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.

    Celtic
    Liam Scales: 313 passningar, xT 0.64ScalesAuston Trusty: 310 passningar, xT 0.42TrustyCameron Robert Carter-Vickers: 274 passningar, xT 0.31Carter-VickersColby Donovan: 249 passningar, xT 0.43DonovanCallum Mcgregor: 236 passningar, xT 0.16McgregorMika Joel Baur: 188 passningar, xT 0.51BaurViljami Sinisalo: 148 passningar, xT 0.04SinisaloBenjamin Nygren: 129 passningar, xT 0.16NygrenHaissem Hassan: 102 passningar, xT 1.66HassanHyun-Jun Yang: 96 passningar, xT 0.25YangDane Murray: 84 passningar, xT 0.08Murray
    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

    The teams in numbers

    PerformanceCelticHearts
    Points1813
    xPoints12.911.4
    xG per match2.61.7
    xGA per match0.951.1
    xG within 8s of winning the ball0.690.27
    xGA within 8s of losing the ball0.080.25
    Playing styleCelticHearts
    Build-up efficiency0.370.33
    Field tilt0.690.61
    xT per match1.61.1
    xTA per match0.570.7
    Won balls, offensive half2925
    Pressing intensity0.230.21
    Pressing efficiency0.290.32
    Pressing efficiency, offensive half0.240.27
    Entries into the box per match1814
    Entries into the box against1010
    Pass completion %0.820.75
    Pass completion % under pressure0.780.68
    Passes per match533370
    Passes against per match304289
    Switches of play per match33.939
    Long balls per match3041
    Set piecesCelticHearts
    xG from free kicks00.05
    Corners per match9.57.4
    Corners against per match4.23.4
    xG per corner0.020.03
    xGA per corner against0.030.02
    First touch, offensive corners %0.510.46
    First touch, defensive corners %0.520.75
    OtherCelticHearts
    Throw-in control0.790.77
    The goalkeepersViljami Sinisalo (Celtic)Beau Reus (Hearts)
    Saves229
    Save %88%56%
    xG prevented57%26%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Frequently asked questions

    Who wins Celtic vs Hearts according to our model?

    The model gives Celtic a 61% win probability. Full 1X2 picture: Celtic 61%, draw 21%, Hearts 19%.

    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 62% and under at 38%.

    Will both teams score?

    The probability of both teams scoring is 61% according to the model.

    How many goals are expected in Celtic vs Hearts?

    The model expects 2.02 goals (xG) for Celtic and 1.19 for Hearts, 3.21 in total.

    What does the model say about double chance?

    Celtic or draw (1X) 81%, Hearts or draw (X2) 39% and no draw (12) 79%.

    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.