Premier LeagueHill Dickinson Stadium, Liverpool18°0,3 mm23 km/h

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    EvertonEvertonBalanced & physical
    vs
    Manchester UnitedManchester UnitedPossession & high press
    The model's lean: 2 · Manchester United (43%)Best value by the model: Under 1,5 @ 4.47 (+20 %)

    EvertonManchester United · Premier League

    1 · Everton 29%X 28%43% Manchester United · 2

    Analysis: EvertonManchester United

    Erik Lindberg · · Written from the model's numbers · How the predictions work

    TEXT: Everton's balanced, physical approach will clash with Manchester United's possession-heavy, high-press style, setting the stage for a tightly contested affair. With the match probabilities slightly favoring Manchester United at 43%, the numbers lean towards United, but not decisively. The game is likely to be a battle of attrition, with both sides trying to assert their playing styles while nullifying the other's strengths.

    The expected goals suggest a closely matched contest, with Everton at 1.21 and Manchester United at 1.36. Despite Everton's slight advantage in points (4 vs 3), the underlying season metrics reveal a different story. The xPoints and xG figures favor United, highlighting their ability to create more quality chances per match. However, the small sample size of just four head-to-head matches since 2022 means we should be cautious in weighing that record too heavily against broader form and expected goals.

    In terms of goals, the model predicts a narrow affair with 48% chance of over 2.5 goals and 53% for both teams to score. The most likely scorelines are low-scoring: 1-1 (13%), 0-1 (10%), and 1-0 (9%). This paints a picture of a match where defenses might just edge out the attacking efforts, pointing towards a disciplined, cautious approach from both sides.

    For the more value-conscious punter, the standout angle is the under 1.5 goals market, offering a 20% edge at odds of 4.47 with Betsafe, Betsson, and Nordicbet. While it's never a guarantee, the model's assessment suggests this conservative approach could pay dividends in what promises to be a tactically tight matchup.

    EvertonEverton
    Form DLLWD
    League ranking xG #10xGA #16xT #13xP/match #12Points #7
    Key players
    • Thierno BarryFxG 0.78 · xT 0.13
    • Iliman NdiayeCAMxG 0.21 · xT 0.08
    • Kiernan Dewsbury HallCAMxG 0.13 · xT 0.20
    Manchester UnitedManchester United
    Form DWWLW
    League ranking xG #2xGA #4xT #2xP/match #5Points #11
    Key players
    • Bryan MbeumoRWxG 0.37 · xT 0.20
    • Marcus RashfordLWxG 0.22 · xT 0.03
    • Bruno FernandesCDMxG 0.78 · xT 0.23

    Match prediction: EvertonManchester United

    Predicted score matrix

    Manchester United
    Everton
    0
    1
    2
    3
    4+
    0
    0–08.0%
    0–110.0%
    0–27.1%
    0–33.2%
    0–4+1.5%
    1
    1–08.8%
    1–112.9%
    1–28.6%
    1–33.9%
    1–4+1.8%
    2
    2–05.6%
    2–17.6%
    2–25.2%
    2–32.4%
    2–4+1.1%
    3
    3–02.3%
    3–13.1%
    3–22.1%
    3–31.0%
    3–4+0.4%
    4+
    4+–00.9%
    4+–11.2%
    4+–20.8%
    4+–30.4%
    4+–4+0.2%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-113%
    2. 2.0-110%
    3. 3.1-09%
    4. 4.1-29%
    5. 5.0-08%
    Expected goals
    1,211,36
    Both teams to score
    53%

    Over/under goals

    Expected goals: 2,6
    Under 2,552%
    @2.22EV+16%
    Over 2,548%
    @1.70

    Ready-made bet suggestions

    More combos & build your own

    01 · 2 legs

    Safe

    • Double chance Manchester United or draw (X2)67%
    • Under 3.5 goals74%

    Combined probability

    50%

    Fair odds

    2.01

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

    02 · 3 legs

    Balanced

    • Double chance Manchester United or draw (X2)67%
    • Under 2.5 goals52%
    • Matheus Santos Carneiro da Cunha to score25%

    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 score53%
    • Over 2.5 goals48%
    • Thierno Mamadou Barry to score30%
    • James Alan Tarkowski to be booked20%

    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 1.527% probability@4.47BetsafeEV+20%reference odds
    • Under 1.527% probability@4.47BetssonEV+20%reference odds
    • Under 1.527% probability@4.47NordicbetEV+20%reference odds
    Bookmaker1 · EvertonX2 · Manchester United
    Betsafe3.303.502.12
    Betsson3.343.522.13
    Nordicbet3.353.502.12
    Pinnacle3.34
    EV+ 1%
    3.63
    2.16

    Odds updated 4 Sept, 12:29

    Odds movement

    1+8 %
    35 %25 %

    3.093.34

    X+5 %
    32 %22 %

    3.473.63

    2-4 %
    48 %38 %

    2.262.16

    Over 2,5-1 %
    61 %51 %

    1.731.70

    Pinnacle · 10 recorded price levels · 28/08/2026 → 04/09/2026 · fixed scale 10 percentage points

    Statistics

    Head-to-head

    4 matches
    Everton 1Draw 1Manchester United 2
    Goals: 37 (⌀ 2,5)

    Head-to-head based on Premier League data since 2022.

    xG & xGA per match — 3-game rolling average

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

    Everton
    Manchester United
    When goals are scored and conceded 2026
    Everton (31)
    Manchester United (54)
    Pass networks

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

    Everton
    Vitalii Mykolenko: 64 passningar, xT 0.09MykolenkoIliman Ndiaye: 64 passningar, xT 0.29NdiayeMerlin Röhl: 61 passningar, xT 0.09RöhlJames Tarkowski: 57 passningar, xT 0.06TarkowskiKiernan Dewsbury Hall: 54 passningar, xT 0.32HallHayden Hackney: 52 passningar, xT 0.06HackneyJarrad Branthwaite: 50 passningar, xT 0.02BranthwaiteHarrison Armstrong: 46 passningar, xT 0.03ArmstrongTyrique George: 42 passningar, xT 0.11GeorgeJordan Pickford: 40 passningar, xT 0.14PickfordJames Garner: 24 passningar, xT 0.03Garner
    Manchester United
    Bruno Fernandes: 126 passningar, xT 0.44FernandesYouri Tielemans: 125 passningar, xT 0.45TielemansHarry Maguire: 110 passningar, xT 0.53MaguireLuke Shaw: 100 passningar, xT 0.65ShawNoussair Mazraoui: 86 passningar, xT 0.13MazraouiLisandro Martinez: 78 passningar, xT 0.23MartinezKobbie Mainoo: 68 passningar, xT 0.12MainooAndrey Santos: 63 passningar, xT 0.18SantosAyden Heaven: 61 passningar, xT 0.16HeavenBryan Mbeumo: 60 passningar, xT 0.39MbeumoMatheus Cunha: 47 passningar, xT -0.02Cunha
    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.

    Everton
    Vitalii Mykolenko: 64 passningar, xT 0.09MykolenkoIliman Ndiaye: 64 passningar, xT 0.29NdiayeMerlin Röhl: 61 passningar, xT 0.09RöhlJames Tarkowski: 57 passningar, xT 0.06TarkowskiKiernan Dewsbury Hall: 54 passningar, xT 0.32HallHayden Hackney: 52 passningar, xT 0.06HackneyJarrad Branthwaite: 50 passningar, xT 0.02BranthwaiteHarrison Armstrong: 46 passningar, xT 0.03ArmstrongTyrique George: 42 passningar, xT 0.11GeorgeJordan Pickford: 40 passningar, xT 0.14PickfordJames Garner: 24 passningar, xT 0.03Garner
    Manchester United
    Bruno Fernandes: 126 passningar, xT 0.44FernandesYouri Tielemans: 125 passningar, xT 0.45TielemansHarry Maguire: 110 passningar, xT 0.53MaguireLuke Shaw: 100 passningar, xT 0.65ShawNoussair Mazraoui: 86 passningar, xT 0.13MazraouiLisandro Martinez: 78 passningar, xT 0.23MartinezKobbie Mainoo: 68 passningar, xT 0.12MainooAndrey Santos: 63 passningar, xT 0.18SantosAyden Heaven: 61 passningar, xT 0.16HeavenBryan Mbeumo: 60 passningar, xT 0.39MbeumoMatheus Cunha: 47 passningar, xT -0.02Cunha

    The teams in numbers

    PerformanceEvertonManchester United
    Points43
    xPoints2.63.7
    xG per match1.42.7
    xGA per match2.11
    xG within 8s of winning the ball0.390.21
    xGA within 8s of losing the ball0.230.14
    Playing styleEvertonManchester United
    Build-up efficiency0.310.32
    Field tilt0.480.81
    xT per match0.791.7
    xTA per match1.30.76
    Won balls, offensive half2124
    Pressing intensity0.230.25
    Pressing efficiency0.230.22
    Pressing efficiency, offensive half0.190.2
    Entries into the box per match1424
    Entries into the box against106
    Pass completion %0.720.83
    Pass completion % under pressure0.680.78
    Passes per match287538
    Passes against per match432241
    Switches of play per match17.928.6
    Long balls per match2634
    Set piecesEvertonManchester United
    xG from free kicks0.020
    Corners per match5.56.9
    Corners against per match52.5
    xG per corner0.010.03
    xGA per corner against0.160.16
    First touch, offensive corners %0.180.64
    First touch, defensive corners %0.60.6
    OtherEvertonManchester United
    Throw-in control0.560.76
    The goalkeepersJordan Pickford (Everton)Senne Lammens (Manchester United)
    Saves85
    Save %89%56%
    xG prevented93%24%
    Claims0 (0%)0 (0%)

    Frequently asked questions

    Who wins Everton vs Manchester United according to our model?

    The model gives Manchester United a 43% win probability. Full 1X2 picture: Everton 29%, draw 28%, Manchester United 43%.

    What is the most likely scoreline?

    The model's most likely final score is 1-1 at 13% 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 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.

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