Premier LeagueAnfield, Liverpool12°7,8 mm34 km/h

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    LiverpoolLiverpoolPossession & high press
    vs
    Manchester CityManchester CityPossession & high press
    The model's lean: 2 · Manchester City (48%)

    Liverpool vs Manchester City · Premier League

    1 · Liverpool 27%X 26%48% Manchester City · 2

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    Analysis: Liverpool – Manchester City

    Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work

    The model gives Manchester City a 48% chance of winning, pointing to them as the likeliest victor against Liverpool. Despite the hosts' unbeaten streak in their last six league games, the visitors' formidable run of five consecutive wins and 21 straight matches with a goal scored highlights their attacking prowess. City's slight edge in expected goals (1.89 vs. 1.32) underlines this advantage, while their xPoints and xGA superiority further solidify their status as favorites.

    While Liverpool boasts a strong home win rate of 67% historically, the head-to-head record since 2022 is evenly split with two wins each. Given the small sample size of these encounters, they weigh less than current form and expected goals. The anticipated rain might dampen the scoring, yet the over 2.5 goals chance sits at 62%, with both teams expected to find the net at 63%. This suggests a competitive and closely fought contest.

    The sharpest value lies with City winning at a 48% probability, especially given their recent form and consistent scoring streak. Priced at 2.10 with Bet365, this angle presents a potential edge, assuming the weather doesn't significantly disrupt the flow. A 1-2 result seems plausible, with City's attack likely to outgun Liverpool's efforts.

    LiverpoolLiverpool
    Form DDWDW
    League ranking xG #4xGA #6xT #5xP/match #9Points #6
    Key players
    • Alexander IsakFxG 0.75 · xT -0.02
    • Dominik SzoboszlaiCMxG 0.28 · xT 0.07
    • Virgil van DijkCBxG 0.05 · xT 0.12
    Manchester CityManchester City
    Form WWWWW
    League ranking xG #3xGA #3xT #4xP/match #1Points #1
    Key players
    • Erling HaalandFxG 0.79 · xT 0.10
    • Nico O'ReillyLWxG 0.21 · xT 0.21
    • Abdukodir KhusanovRBxG 0.00 · xT 0.04

    Match prediction: Liverpool – Manchester City

    Predicted score matrix

    Manchester City →
    Liverpool →
    0
    1
    2
    3
    4+
    0
    0–04.3%
    0–17.3%
    0–27.2%
    0–34.6%
    0–4+3.3%
    1
    1–05.0%
    1–110.3%
    1–29.5%
    1–36.0%
    1–4+4.4%
    2
    2–03.5%
    2–16.6%
    2–26.3%
    2–34.0%
    2–4+2.9%
    3
    3–01.5%
    3–12.9%
    3–22.8%
    3–31.7%
    3–4+1.3%
    4+
    4+–00.7%
    4+–11.3%
    4+–21.2%
    4+–30.8%
    4+–4+0.6%
    Probability per final score. Rows = home goals, columns = away goals.

    Most likely scorelines

    1. 1.1-110%
    2. 2.1-210%
    3. 3.0-17%
    4. 4.0-27%
    5. 5.2-17%
    Expected goals
    1,32–1,89
    Both teams to score
    63%

    Over/under goals

    Expected goals: 3,2
    Under 2,538%
    @2.41
    Over 2,562%
    @1.58

    Ready-made bet suggestions

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    01 · 2 legs

    Safe

    • Manchester City to win48%
    • Over 1.5 goals83%

    Combined probability

    43%

    Fair odds

    2.32

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

    02 · 3 legs

    Balanced

    • Manchester City to win48%
    • Over 2.5 goals62%
    • Erling Braut Haaland to score30%

    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 score63%
    • Over 2.5 goals62%
    • Alexander Isak to score35%
    • Elliot Junior Anderson to be booked22%

    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 · Manchester City48% probability@2.58NordicbetEV+24%reference odds
    • 2 · Manchester City48% probability@2.56PinnacleEV+23%reference odds
    • 2 · Manchester City48% probability@2.55BetsafeEV+22%reference odds
    Bookmaker1 · LiverpoolX2 · Manchester City
    Betsafe2.553.60
    EV+ 22%
    2.55
    Nordicbet2.583.60
    EV+ 24%
    2.58
    Pinnacle2.563.68
    EV+ 23%
    2.56

    Odds updated 2 Oct, 07:36

    Statistics

    Head-to-head

    4 matches
    Liverpool 2Draw 0Manchester City 2
    Goals: 5–5 (⌀ 2,5)

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

    Key facts

    • Liverpool FC are unbeaten in their last 6 league matches.
    • Manchester City come into this round on 5 straight wins.
    • Manchester City have scored in 21 consecutive league matches.
    • Liverpool FC win 67% of their home matches all-time (78 played).
    xG & xGA per match — 3-game rolling average

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

    Liverpool
    Manchester City
    When goals are scored and conceded — 2026
    Liverpool (7–4)
    Manchester City (13–5)
    Pass networks

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

    Liverpool
    Virgil van Dijk: 358 passningar, xT 0.58DijkJérémy Jacquet: 306 passningar, xT 0.49JacquetDominik Szoboszlai: 260 passningar, xT 0.37SzoboszlaiFlorian Wirtz: 168 passningar, xT -0.1WirtzMiloš Kerkez: 155 passningar, xT 0.28KerkezAlexis Mac Allister: 153 passningar, xT 0.23AllisterRonald Araujo: 146 passningar, xT 0.17AraujoAlisson Becker: 145 passningar, xT 0.17BeckerJeremie Frimpong: 95 passningar, xT 0.44FrimpongCody Gakpo: 94 passningar, xT 0.91GakpoRyan Gravenberch: 89 passningar, xT 0.14Gravenberch
    Manchester City
    Rúben Dias: 392 passningar, xT 0.44DiasElliot Anderson: 378 passningar, xT 0.37AndersonMarc Guehi: 362 passningar, xT 0.43GuehiAbdukodir Khusanov: 247 passningar, xT 0.2KhusanovRayan Cherki: 230 passningar, xT 0.51CherkiJosko Gvardiol: 206 passningar, xT 0.44GvardiolAntoine Semenyo: 150 passningar, xT 1SemenyoEnzo Fernandez: 140 passningar, xT 0.04FernandezPhil Foden: 109 passningar, xT 0.21FodenMatheus Nunes: 108 passningar, xT 0.08NunesGianluigi Donnarumma: 106 passningar, xT 0.08Donnarumma
    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.

    Liverpool
    Virgil van Dijk: 358 passningar, xT 0.58DijkJérémy Jacquet: 306 passningar, xT 0.49JacquetDominik Szoboszlai: 260 passningar, xT 0.37SzoboszlaiFlorian Wirtz: 168 passningar, xT -0.1WirtzMiloš Kerkez: 155 passningar, xT 0.28KerkezAlexis Mac Allister: 153 passningar, xT 0.23AllisterRonald Araujo: 146 passningar, xT 0.17AraujoAlisson Becker: 145 passningar, xT 0.17BeckerJeremie Frimpong: 95 passningar, xT 0.44FrimpongCody Gakpo: 94 passningar, xT 0.91GakpoRyan Gravenberch: 89 passningar, xT 0.14Gravenberch
    Manchester City
    Rúben Dias: 392 passningar, xT 0.44DiasElliot Anderson: 378 passningar, xT 0.37AndersonMarc Guehi: 362 passningar, xT 0.43GuehiAbdukodir Khusanov: 247 passningar, xT 0.2KhusanovRayan Cherki: 230 passningar, xT 0.51CherkiJosko Gvardiol: 206 passningar, xT 0.44GvardiolAntoine Semenyo: 150 passningar, xT 1SemenyoEnzo Fernandez: 140 passningar, xT 0.04FernandezPhil Foden: 109 passningar, xT 0.21FodenMatheus Nunes: 108 passningar, xT 0.08NunesGianluigi Donnarumma: 106 passningar, xT 0.08Donnarumma

    The teams in numbers

    PerformanceLiverpoolManchester City
    Points915
    xPoints7.48.5
    xG per match1.81.9
    xGA per match1.31.1
    xG within 8s of winning the ball0.550.29
    xGA within 8s of losing the ball0.20.08
    Playing styleLiverpoolManchester City
    Build-up efficiency0.340.34
    Field tilt0.640.69
    xT per match1.11.1
    xTA per match10.96
    Won balls, offensive half2724
    Pressing intensity0.230.23
    Pressing efficiency0.320.28
    Pressing efficiency, offensive half0.290.26
    Entries into the box per match1315
    Entries into the box against1311
    Pass completion %0.790.84
    Pass completion % under pressure0.760.78
    Passes per match442554
    Passes against per match285281
    Switches of play per match34.625.5
    Long balls per match3929
    Set piecesLiverpoolManchester City
    xG from free kicks0.060.05
    Corners per match46.2
    Corners against per match4.44.2
    xG per corner0.020.05
    xGA per corner against0.020.02
    First touch, offensive corners %0.350.52
    First touch, defensive corners %0.640.67
    OtherLiverpoolManchester City
    Throw-in control0.740.77
    The goalkeepersAlisson Becker (Liverpool)Gianluigi Donnarumma (Manchester City)
    Saves1415
    Save %78%79%
    xG prevented53%46%
    Claims0 (0%)0 (0%)

    Teams & more matches this round

    Liverpool
    Fixtures, form & tips
    Manchester City
    Fixtures, form & tips

    Frequently asked questions

    Who wins Liverpool vs Manchester City according to our model?

    The model gives Manchester City a 48% win probability. Full 1X2 picture: Liverpool 27%, draw 26%, Manchester City 48%.

    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 63% 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.