MCI Premier League

Man City FPL Predictions & Players

How the FPLXI model reads Man City: the eleven it expects to start, the players it rates most and the fixture run ahead. Next up: away at Liverpool in Gameweek 6.

Last updated Wed 7 Oct, 07:00
Next fixture

Gameweek 6, Tough on the model's read

Squad predicted
33 players

Projected points for every Man City player over the next 5 gameweeks

Most likely formation
4-5-1

Ranked by the minutes the model expects each player to get.

Top rated

29.3 projected points over 5 gameweeks

Man City predicted lineup

The eleven the model expects to start in Gameweek 6, in a 4-5-1. Ranked by the minutes the model expects each player to get. This is the model's read, not a team sheet: it moves with injury news and rotation right up to the deadline.

DEF Guéhi 2.3
DEF Gvardiol 0.8
DEF Rúben 2.5
DEF Matheus N. 1.4
MID Enzo 2.5
MID Anderson 3.8
MID Ndiaye 3.0
MID Semenyo 2.2
MID Cherki 4.7
FWD Haaland 5.3

Top 3 Man City players

Ranked by projected points over the next 5 gameweeks. Scores are 0 to 100 against players in the same position across the league.

Man City upcoming fixtures

The next 5 gameweeks, coloured by the model's outlook rather than raw difficulty ratings. Green is easier, red is harder.

GW6 Tough
LIV Liverpool
Away · Sun 16:30
GW7 Favourable
IPS Ipswich Town
Home · Sat 15:00
GW8 Neutral
AVL Aston Villa
Away · Sat 12:30
GW9 Neutral
BHA Brighton
Home · Sat 15:00
GW10 Neutral
NFO Nott'm Forest
Away · Sat 17:30

Every Man City player, ranked by the model

Price, position and projected points for the whole squad. Open a player for the model's full read on them.

Club Name Price Form Mins Value Next 5 fixtures GW xPts 5GW xPts Rank
MCI Erling Haaland £15.6m 93 99 73 LIV IPS AVL BHA NFO 5.3 29.3 #2 MCI Rayan Cherki £7.8m 95 76 96 LIV IPS AVL BHA NFO 4.7 25.5 #5 MCI Elliot Anderson £6.3m 63 89 98 LIV IPS AVL BHA NFO 3.8 22.1 #10 MCI Gianluigi Donnarumma £5.5m 50 89 88 LIV IPS AVL BHA NFO 4.0 19.1 #5 MCI Enzo Fernández £6.9m 76 73 89 LIV IPS AVL BHA NFO 2.5 18.0 #19 MCI Iliman Ndiaye £5.8m 72 85 93 LIV IPS AVL BHA NFO 3.0 17.5 #20 MCI Antoine Semenyo £8.4m 80 98 73 LIV IPS AVL BHA NFO 2.2 15.7 #31 MCI Rúben dos Santos Gato Alves Dias £5.5m 45 94 92 LIV IPS AVL BHA NFO 2.5 14.9 #9 MCI Marc Guéhi £6.0m 47 94 76 LIV IPS AVL BHA NFO 2.3 10.3 #36 MCI Jérémy Doku £7.4m 99 40 65 LIV IPS AVL BHA NFO 1.6 10.2 #84 MCI Matheus Nunes £5.9m 44 59 70 LIV IPS AVL BHA NFO 1.4 8.0 #56 MCI Abdukodir Khusanov £5.4m 56 63 67 LIV IPS AVL BHA NFO 1.2 6.7 #63 MCI Nico O'Reilly £6.3m 44 53 62 LIV IPS AVL BHA NFO 1.2 6.1 #73 MCI Ayyoub Bouaddi £5.5m 79 44 51 LIV IPS AVL BHA NFO 0.6 4.2 #141 MCI Rico Lewis £4.4m 49 42 60 LIV IPS AVL BHA NFO 0.7 4.1 #94 MCI Joško Gvardiol £5.7m 47 84 50 LIV IPS AVL BHA NFO 0.8 3.3 #102 MCI Mateo Kovačić £5.3m 50 48 41 LIV IPS AVL BHA NFO 0.4 1.9 #175 MCI Rayan Aït-Nouri £5.2m 50 16 42 LIV IPS AVL BHA NFO 0.3 1.7 #121 MCI Allan Andrade Elias £6.0m 19 17 39 LIV IPS AVL BHA NFO 0.3 1.7 #178 MCI Ryan McAidoo £4.5m 67 39 40 LIV IPS AVL BHA NFO 0.3 1.4 #180 MCI Vitor de Oliveira Nunes dos Reis £4.5m 50 32 36 LIV IPS AVL BHA NFO 0.1 0.6 #141 MCI Kaden Braithwaite £4.0m 50 33 34 LIV IPS AVL BHA NFO 0.0 0.4 #144 MCI Floyd Samba £4.5m 19 17 30 LIV IPS AVL BHA NFO 0.1 0.4 #208 MCI Gerónimo Rulli £5.0m 50 34 45 LIV IPS AVL BHA NFO 0.0 0.1 #38 MCI Max Alleyne £5.0m 50 16 13 LIV IPS AVL BHA NFO 0.0 0.0 #189 MCI Marcus Bettinelli £4.5m 50 34 22 LIV IPS AVL BHA NFO 0.0 0.0 #61 MCI Tijjani Reijnders £6.0m 19 17 13 LIV IPS AVL BHA NFO 0.0 0.0 #258 MCI Claudio Echeverri £4.9m 19 17 13 LIV IPS AVL BHA NFO 0.0 0.0 #259 MCI Jeremy Monga £4.9m 19 17 13 LIV IPS AVL BHA NFO 0.0 0.0 #260 MCI Rodrigo 'Rodri' Hernandez Cascante £6.5m 19 17 13 LIV IPS AVL BHA NFO 0.0 0.0 #263 MCI Kalvin Phillips £5.0m 19 17 13 LIV IPS AVL BHA NFO 0.0 0.0 #264 MCI Divine Mukasa £4.5m 19 17 13 LIV IPS AVL BHA NFO 0.0 0.0 #265 MCI Phil Foden £6.9m 96 67 13 LIV IPS AVL BHA NFO 0.0 0.0 #284

What the FPLXI model considers

Position-specific models trained on five seasons of Premier League data, backtested on a season they never saw. Every figure on this page is model output, written by batch inference before the deadline and never rewritten afterwards.

  • Underlying performance: goal threat, chance creation, defensive contribution and save volume, measured per 90 against positional peers.
  • Expected minutes: the single biggest driver of points, read from recent starts, rotation and injury news.
  • Opponent and venue: attacking and defensive strength of the opposition, home or away, for every fixture in the gameweek.
  • Market signals: price, ownership and transfer flow, used as evidence rather than as an instruction.

The model predicts, a deterministic optimiser decides, and language models only explain the decision afterwards. See the published accuracy record

Have Man City players in your squad?

This page is what the model thinks about Man City. Analyse your own team and it will tell you whether to keep them, who to bring in instead, and what the move is projected to gain you.

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Predictions for other clubs

FPLXI is an independent tool and is not affiliated with, or endorsed by, the Premier League or the official Fantasy Premier League game. Every score, rank and projection on this page is FPLXI model output.