LEE Premier League

Leeds FPL Predictions & Players

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

Last updated Wed 7 Oct, 07:00
Next fixture

Gameweek 6, Very tough on the model's read

Squad predicted
31 players

Projected points for every Leeds 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

35.0 projected points over 5 gameweeks

Leeds 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 Trafford 4.4
DEF Elvedi 1.7
DEF Justin 2.0
DEF Bogle 0.4
MID Ampadu 1.5
MID Stach 2.3
MID Okafor 1.2
MID Tanaka 2.3

Top 3 Leeds players

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

Leeds upcoming fixtures

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

GW6 Very tough
ARS Arsenal
Away · Sat 12:30
GW7 Tough
MUN Man Utd
Home · Sun 14:00
GW8 Neutral
SUN Sunderland
Away · Sun 16:30
GW9 Neutral
BOU Bournemouth
Away · Sat 15:00
GW10 Favourable
TOT Spurs
Home · Sat 12:30

Every Leeds 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
LEE Dominic Calvert-Lewin £6.0m 85 91 99 ARS MUN SUN BOU TOT 6.3 35.0 #1 LEE James Trafford £5.0m 62 89 97 ARS MUN SUN BOU TOT 4.4 21.6 #3 LEE Lukas Nmecha £5.4m 76 58 82 ARS MUN SUN BOU TOT 3.5 14.5 #20 LEE Anton Stach £6.0m 70 96 82 ARS MUN SUN BOU TOT 2.3 13.7 #41 LEE James Justin £4.5m 62 94 95 ARS MUN SUN BOU TOT 2.0 12.9 #19 LEE Tanaka Ao £4.9m 59 71 90 ARS MUN SUN BOU TOT 2.3 12.8 #49 LEE Tarik Muharemović £5.0m 69 94 83 ARS MUN SUN BOU TOT 1.8 11.2 #31 LEE Nico Elvedi £4.5m 52 70 87 ARS MUN SUN BOU TOT 1.7 11.0 #33 LEE Ethan Ampadu £5.4m 54 98 74 ARS MUN SUN BOU TOT 1.5 10.2 #83 LEE Noah Okafor £5.8m 55 76 68 ARS MUN SUN BOU TOT 1.2 8.7 #96 LEE Jayden Bogle £4.6m 51 79 69 ARS MUN SUN BOU TOT 0.4 6.1 #72 LEE Daniel James £4.9m 65 50 61 ARS MUN SUN BOU TOT 0.9 5.7 #125 LEE Jaka Bijol £5.0m 59 53 56 ARS MUN SUN BOU TOT 0.8 4.1 #92 LEE Gabriel Gudmundsson £4.5m 46 61 60 ARS MUN SUN BOU TOT 0.2 4.1 #93 LEE Brenden Aaronson £5.3m 38 65 52 ARS MUN SUN BOU TOT 0.8 4.1 #143 LEE Sean Longstaff £4.8m 28 38 47 ARS MUN SUN BOU TOT 0.5 3.1 #159 LEE Melvin Bard £4.5m 60 39 51 ARS MUN SUN BOU TOT 0.4 2.7 #106 LEE Jean-Mattéo Bahoya £5.0m 51 35 44 ARS MUN SUN BOU TOT 0.5 2.5 #168 LEE Ilia Gruev £5.0m 19 17 33 ARS MUN SUN BOU TOT 0.1 0.6 #198 LEE Alfie Cresswell £4.5m 19 17 30 ARS MUN SUN BOU TOT 0.1 0.4 #206 LEE Michael Zetterer £4.0m 50 34 53 ARS MUN SUN BOU TOT 0.0 0.1 #36 LEE Sebastiaan Bornauw £4.5m 50 16 13 ARS MUN SUN BOU TOT 0.0 0.0 #183 LEE Jayden Lienou £4.0m 50 16 13 ARS MUN SUN BOU TOT 0.0 0.0 #184 LEE Joe Rodon £4.3m 67 50 13 ARS MUN SUN BOU TOT 0.0 0.0 #213 LEE Joël Piroe £5.0m 24 18 19 ARS MUN SUN BOU TOT 0.0 0.0 #63 LEE Mateo Joseph Fernández-Regatillo £4.5m 24 18 19 ARS MUN SUN BOU TOT 0.0 0.0 #64 LEE Lucas Estella Perri £4.5m 50 34 22 ARS MUN SUN BOU TOT 0.0 0.0 #56 LEE Alex Cairns £4.0m 50 34 22 ARS MUN SUN BOU TOT 0.0 0.0 #57 LEE Harry Wilson £6.2m 67 62 13 ARS MUN SUN BOU TOT 0.0 0.0 #251 LEE Wilfried Gnonto £5.0m 19 17 13 ARS MUN SUN BOU TOT 0.0 0.0 #252 LEE Jack Harrison £5.0m 19 17 13 ARS MUN SUN BOU TOT 0.0 0.0 #253

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.