ARS Premier League

Arsenal FPL Predictions & Players

How the FPLXI model reads Arsenal: the eleven it expects to start, the players it rates most and the fixture run ahead. Next up: at home to Leeds in Gameweek 6.

Last updated Wed 7 Oct, 07:00
Next fixture

Gameweek 6, Neutral on the model's read

Squad predicted
29 players

Projected points for every Arsenal player over the next 5 gameweeks

Most likely formation
4-4-2

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

Top rated

33.6 projected points over 5 gameweeks

Arsenal predicted lineup

The eleven the model expects to start in Gameweek 6, in a 4-4-2. 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 Raya 1.5
DEF Gabriel 3.8
DEF Konsa 2.7
DEF Calafiori 1.2
DEF J.Timber 1.6
MID Saka 7.7
MID Ødegaard 4.5
MID Rice 2.1
MID Tzolis 1.9
FWD Gyökeres 5.2
FWD Havertz 4.2

Top 3 Arsenal players

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

Arsenal 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
LEE Leeds
Home · Sat 12:30
GW7 Neutral
NFO Nott'm Forest
Away · Sun 16:30
GW8 Neutral
EVE Everton
Home · Sat 15:00
GW9 Tough
LIV Liverpool
Away · Sun 16:30
GW10 Favourable
HUL Hull City
Home · Sat 15:00

Every Arsenal 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
ARS Bukayo Saka £9.6m 89 90 98 LEE NFO EVE LIV HUL 7.7 33.6 #3 ARS Viktor Gyökeres £7.1m 55 46 92 LEE NFO EVE LIV HUL 5.2 24.1 #4 ARS Gabriel dos Santos Magalhães £8.0m 67 94 85 LEE NFO EVE LIV HUL 3.8 19.1 #4 ARS Martin Ødegaard £6.8m 91 84 90 LEE NFO EVE LIV HUL 4.5 18.4 #17 ARS Kai Havertz £7.6m 70 94 79 LEE NFO EVE LIV HUL 4.2 17.9 #14 ARS Ezri Konsa Ngoyo £4.6m 60 65 96 LEE NFO EVE LIV HUL 2.7 14.5 #13 ARS Bruno Guimarães Rodriguez Moura £6.7m 52 60 71 LEE NFO EVE LIV HUL 2.1 11.9 #56 ARS Myles Lewis-Skelly £5.4m 57 73 81 LEE NFO EVE LIV HUL 2.2 11.7 #59 ARS Declan Rice £7.4m 69 88 68 LEE NFO EVE LIV HUL 2.1 11.2 #69 ARS Jurriën Timber £6.5m 29 48 74 LEE NFO EVE LIV HUL 1.6 10.1 #38 ARS Eberechi Eze £6.2m 50 56 69 LEE NFO EVE LIV HUL 1.9 10.1 #85 ARS Christos Tzolis £6.3m 73 83 69 LEE NFO EVE LIV HUL 1.9 10.1 #86 ARS David Raya Martín £6.1m 52 89 76 LEE NFO EVE LIV HUL 1.5 9.0 #15 ARS Cristhian Mosquera £5.3m 59 54 68 LEE NFO EVE LIV HUL 1.4 6.7 #64 ARS Benjamin White £5.5m 58 69 65 LEE NFO EVE LIV HUL 1.4 6.5 #66 ARS Riccardo Calafiori £5.9m 50 82 63 LEE NFO EVE LIV HUL 1.2 6.2 #70 ARS Mikel Merino Zazón £5.7m 59 55 59 LEE NFO EVE LIV HUL 1.0 6.2 #117 ARS Martín Zubimendi Ibáñez £5.3m 56 56 60 LEE NFO EVE LIV HUL 1.0 6.1 #119 ARS Piero Hincapié £5.2m 68 40 64 LEE NFO EVE LIV HUL 1.0 5.8 #75 ARS Noni Madueke £6.2m 82 42 54 LEE NFO EVE LIV HUL 0.9 5.0 #131 ARS Max Dowman £5.3m 97 37 45 LEE NFO EVE LIV HUL 0.5 2.9 #166 ARS Kepa Arrizabalaga Revuelta £4.9m 50 34 46 LEE NFO EVE LIV HUL 0.0 0.1 #41 ARS William Saliba £5.9m 50 16 13 LEE NFO EVE LIV HUL 0.0 0.0 #196 ARS Gabriel Fernando de Jesus £5.9m 24 18 19 LEE NFO EVE LIV HUL 0.0 0.0 #70 ARS Illan Meslier £4.9m 50 34 22 LEE NFO EVE LIV HUL 0.0 0.0 #66 ARS Gabriel Martinelli Silva £6.3m 19 17 13 LEE NFO EVE LIV HUL 0.0 0.0 #267 ARS Reiss Nelson £5.5m 19 17 13 LEE NFO EVE LIV HUL 0.0 0.0 #272 ARS Ethan Nwaneri £5.4m 19 17 13 LEE NFO EVE LIV HUL 0.0 0.0 #274 ARS Fábio Ferreira Vieira £5.5m 19 17 13 LEE NFO EVE LIV HUL 0.0 0.0 #297

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.