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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: away at Brighton in Gameweek 5.

Last updated Mon 14 Sep, 21:45
Next fixture
Brighton (A), Sat 15:00

Gameweek 5, Neutral on the model's read

Squad predicted
29 players

Projected points for every Arsenal 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
Bukayo Saka

25.7 projected points over 5 gameweeks

Arsenal predicted lineup

The eleven the model expects to start in Gameweek 5, 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 Raya 2.1
DEF Konsa 1.8
DEF Gabriel 3.7
DEF Calafiori 1.1
DEF J.Timber 2.3
DEF White 2.3
MID Rice 2.3
MID Saka 5.3
MID Ødegaard 2.2
MID Tzolis 3.1
FWD Havertz 4.5

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.

1 ARS MID
Saka 25.7
£9.5m projected over 5 GWs

Form 87/100 · Minutes 89/100 · Value 94/100
2 ARS FWD
Havertz 24.9
£7.6m projected over 5 GWs

Form 62/100 · Minutes 94/100 · Value 87/100
3 ARS DEF
Gabriel 19.8
£8.0m projected over 5 GWs

Form 66/100 · Minutes 94/100 · Value 90/100

Arsenal upcoming fixtures

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

GW5 Neutral
BHA Brighton
Away · Sat 15:00
GW6 Favourable
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

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 £9.5m 87 89 94 BHA LEE NFO EVE LIV 5.3 25.7 #4 ARS Kai Havertz £7.6m 62 94 87 BHA LEE NFO EVE LIV 4.5 24.9 #5 ARS Gabriel dos Santos Magalhães £8.0m 66 94 90 BHA LEE NFO EVE LIV 3.7 19.8 #3 ARS Christos Tzolis £6.4m 81 82 88 BHA LEE NFO EVE LIV 3.1 15.2 #25 ARS Bruno Guimarães Rodriguez Moura £6.7m 64 57 80 BHA LEE NFO EVE LIV 2.5 13.0 #40 ARS Declan Rice £7.4m 71 87 72 BHA LEE NFO EVE LIV 2.3 12.0 #47 ARS Benjamin White £5.5m 57 77 83 BHA LEE NFO EVE LIV 2.3 11.8 #29 ARS Myles Lewis-Skelly £5.5m 67 79 82 BHA LEE NFO EVE LIV 2.2 11.2 #58 ARS Jurriën Timber £6.5m 31 43 76 BHA LEE NFO EVE LIV 2.3 11.1 #32 ARS David Raya Martín £6.0m 51 89 75 BHA LEE NFO EVE LIV 2.1 10.6 #17 ARS Martin Ødegaard £6.7m 94 84 68 BHA LEE NFO EVE LIV 2.2 9.9 #71 ARS Ezri Konsa Ngoyo £4.5m 66 62 78 BHA LEE NFO EVE LIV 1.8 8.5 #51 ARS Riccardo Calafiori £5.8m 51 78 59 BHA LEE NFO EVE LIV 1.1 5.7 #79 ARS Eberechi Eze £6.3m 57 57 59 BHA LEE NFO EVE LIV 1.1 5.7 #118 ARS Martín Zubimendi Ibáñez £5.3m 60 55 61 BHA LEE NFO EVE LIV 1.0 5.6 #119 ARS Viktor Gyökeres £7.2m 24 42 56 BHA LEE NFO EVE LIV 0.7 4.7 #32 ARS Piero Hincapié £5.3m 67 42 52 BHA LEE NFO EVE LIV 0.9 3.9 #100 ARS Mikel Merino Zazón £5.8m 66 54 54 BHA LEE NFO EVE LIV 0.7 3.7 #133 ARS Noni Madueke £6.3m 83 44 47 BHA LEE NFO EVE LIV 0.6 2.9 #153 ARS Max Dowman £5.3m 21 18 42 BHA LEE NFO EVE LIV 0.3 1.8 #167 ARS Illan Meslier £4.9m 50 34 53 BHA LEE NFO EVE LIV 0.1 0.2 #35 ARS Kepa Arrizabalaga Revuelta £4.9m 50 34 40 BHA LEE NFO EVE LIV 0.1 0.1 #42 ARS William Saliba £5.9m 51 17 13 BHA LEE NFO EVE LIV 0.0 0.0 #194 ARS Cristhian Mosquera £5.4m 59 57 13 BHA LEE NFO EVE LIV 0.0 0.0 #195 ARS Gabriel Fernando de Jesus £5.9m 24 18 19 BHA LEE NFO EVE LIV 0.0 0.0 #49 ARS Reiss Nelson £5.5m 21 18 13 BHA LEE NFO EVE LIV 0.0 0.0 #268 ARS Ethan Nwaneri £5.4m 21 18 13 BHA LEE NFO EVE LIV 0.0 0.0 #269 ARS Gabriel Martinelli Silva £6.3m 21 18 13 BHA LEE NFO EVE LIV 0.0 0.0 #270 ARS Fábio Ferreira Vieira £5.5m 21 18 13 BHA LEE NFO EVE LIV 0.0 0.0 #293

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 Arsenal players in your squad?

This page is what the model thinks about Arsenal. 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

Aston Villa Bournemouth Brentford Brighton Chelsea Coventry City Crystal Palace Everton Fulham Hull City Ipswich Town Leeds Liverpool Man City Man Utd Newcastle Nott'm Forest Spurs Sunderland

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.