CRY Premier League

Crystal Palace FPL Predictions & Players

How the FPLXI model reads Crystal Palace: the eleven it expects to start, the players it rates most and the fixture run ahead. Next up: at home to Nott'm Forest in Gameweek 6.

Last updated Wed 7 Oct, 07:00
Next fixture

Gameweek 6, Neutral on the model's read

Squad predicted
36 players

Projected points for every Crystal Palace player over the next 5 gameweeks

Most likely formation
5-4-1

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

Top rated

18.1 projected points over 5 gameweeks

Crystal Palace predicted lineup

The eleven the model expects to start in Gameweek 6, in a 5-4-1. 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.

GK Benitez 0.9
DEF Richards 3.5
DEF Mitchell 3.3
DEF Khalaili 2.2
DEF Canvot 1.2
DEF Ahanor 1.0
MID Timber 2.3
MID Wharton 3.1
MID Kamada 3.0
MID Yeremy 2.8

Top 3 Crystal Palace players

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

Crystal Palace upcoming fixtures

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

GW6 Neutral
NFO Nott'm Forest
Home · Sun 14:00
GW7 Tough
BHA Brighton
Away · Sun 14:00
GW8 Neutral
NEW Newcastle
Home · Sun 14:00
GW9 Neutral
TOT Spurs
Away · Sat 17:30
GW10 Tough
LIV Liverpool
Home · Sun 14:00

Every Crystal Palace 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
CRY Jørgen Strand Larsen £6.0m 55 80 84 NFO BHA NEW TOT LIV 3.3 18.1 #13 CRY Tyrick Mitchell £4.5m 37 82 97 NFO BHA NEW TOT LIV 3.3 14.8 #10 CRY Chris Richards £4.9m 52 94 96 NFO BHA NEW TOT LIV 3.5 14.6 #12 CRY Adam Wharton £5.4m 65 92 89 NFO BHA NEW TOT LIV 3.1 14.1 #36 CRY Yéremy Pino Santos £5.5m 79 78 88 NFO BHA NEW TOT LIV 2.8 14.1 #37 CRY Daichi Kamada £5.0m 63 94 91 NFO BHA NEW TOT LIV 3.0 13.9 #38 CRY Quinten Timber £5.0m 52 90 77 NFO BHA NEW TOT LIV 2.3 10.3 #81 CRY Anan Khalaili £5.0m 48 79 79 NFO BHA NEW TOT LIV 2.2 9.7 #43 CRY Eddie Nketiah £5.5m 88 72 65 NFO BHA NEW TOT LIV 1.6 8.3 #30 CRY Ben Chilwell £4.5m 20 41 75 NFO BHA NEW TOT LIV 1.6 7.5 #60 CRY Ismaïla Sarr £6.2m 48 36 61 NFO BHA NEW TOT LIV 1.5 7.4 #105 CRY Honest Ahanor £4.5m 59 51 67 NFO BHA NEW TOT LIV 1.0 5.6 #77 CRY Jaydee Canvot £4.8m 43 76 65 NFO BHA NEW TOT LIV 1.2 5.6 #78 CRY Will Hughes £4.4m 75 45 60 NFO BHA NEW TOT LIV 0.9 4.9 #134 CRY Jefferson Lerma Solís £4.8m 60 50 57 NFO BHA NEW TOT LIV 1.0 4.9 #135 CRY Walter Benítez £4.5m 48 72 72 NFO BHA NEW TOT LIV 0.9 3.8 #21 CRY Evann Guessand £5.4m 45 51 44 NFO BHA NEW TOT LIV 0.6 2.9 #161 CRY Takehiro Tomiyasu £4.4m 43 55 50 NFO BHA NEW TOT LIV 0.4 2.5 #108 CRY Dwight McNeil £5.3m 46 55 43 NFO BHA NEW TOT LIV 0.5 2.4 #169 CRY Oscar Mingueza £4.4m 54 35 46 NFO BHA NEW TOT LIV 0.4 1.9 #119 CRY Zavier Gozo £4.9m 32 44 39 NFO BHA NEW TOT LIV 0.3 1.3 #181 CRY Darío Osorio £5.5m 51 35 37 NFO BHA NEW TOT LIV 0.2 1.0 #185 CRY Cheick Doucouré £4.8m 19 17 35 NFO BHA NEW TOT LIV 0.1 0.7 #192 CRY Joél Drakes-Thomas £4.4m 19 17 30 NFO BHA NEW TOT LIV 0.1 0.3 #210 CRY Borna Sosa £4.5m 50 16 13 NFO BHA NEW TOT LIV 0.0 0.0 #174 CRY Chadi Riad Dnanou £4.3m 62 45 13 NFO BHA NEW TOT LIV 0.0 0.0 #175 CRY Rio Cardines £4.5m 50 16 13 NFO BHA NEW TOT LIV 0.0 0.0 #176 CRY Axel Disasi £4.5m 50 50 13 NFO BHA NEW TOT LIV 0.0 0.0 #199 CRY Christantus Uche £5.0m 24 18 19 NFO BHA NEW TOT LIV 0.0 0.0 #55 CRY Jean-Philippe Mateta £6.3m 96 56 19 NFO BHA NEW TOT LIV 0.0 0.0 #70 CRY Dean Henderson £4.9m 50 73 22 NFO BHA NEW TOT LIV 0.0 0.0 #45 CRY Remi Matthews £4.0m 50 34 22 NFO BHA NEW TOT LIV 0.0 0.0 #46 CRY Justin Devenny £5.0m 19 17 13 NFO BHA NEW TOT LIV 0.0 0.0 #235 CRY Romain Esse £5.0m 19 17 13 NFO BHA NEW TOT LIV 0.0 0.0 #236 CRY Matheus França de Oliveira £4.9m 19 17 13 NFO BHA NEW TOT LIV 0.0 0.0 #237 CRY Jesurun Rak-Sakyi £4.9m 19 17 13 NFO BHA NEW TOT LIV 0.0 0.0 #277

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

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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.