LIV Premier League

Liverpool FPL Predictions & Players

How the FPLXI model reads Liverpool: 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 2.

Last updated Sun 23 Aug, 12:45
Next fixture

Gameweek 2, Neutral on the model's read

Squad predicted
35 players

Projected points for every Liverpool 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

23.9 projected points over 5 gameweeks

Liverpool predicted lineup

The eleven the model expects to start in Gameweek 2, 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 A.Becker 1.4
DEF Virgil 2.1
DEF Araujo 1.7
DEF Frimpong 1.9
DEF Jacquet 1.3
DEF Kerkez 1.5
MID Szoboszlai 4.7
MID Wirtz 2.6
MID Gakpo 1.3
FWD Isak 1.8

Top 3 Liverpool players

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

Liverpool upcoming fixtures

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

GW2 Neutral
NFO Nott'm Forest
Home · Sat 12:30
GW3 Favourable
IPS Ipswich Town
Away · Fri 20:00
GW4 Favourable
FUL Fulham
Home · Sat 15:00
GW5 Neutral
BOU Bournemouth
Away · Sun 14:00
GW6 Tough
MCI Man City
Home · Sun 16:30

Every Liverpool 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
LIV Dominik Szoboszlai £7.0m 94 99 99 NFO IPS FUL BOU MCI 4.7 23.9 #4 LIV Florian Wirtz £7.5m 90 80 85 NFO IPS FUL BOU MCI 2.6 13.4 #17 LIV Virgil van Dijk £6.5m 49 96 80 NFO IPS FUL BOU MCI 2.1 10.3 #26 LIV Jeremie Frimpong £5.5m 30 62 81 NFO IPS FUL BOU MCI 1.9 9.4 #32 LIV Alexander Isak £9.0m 60 64 67 NFO IPS FUL BOU MCI 1.8 9.3 #18 LIV Ronald Araujo £5.5m No data No data 78 NFO IPS FUL BOU MCI 1.7 8.1 #40 LIV Alisson Becker £5.5m 42 73 74 NFO IPS FUL BOU MCI 1.4 7.7 #15 LIV Milos Kerkez £5.5m 45 63 75 NFO IPS FUL BOU MCI 1.5 7.1 #48 LIV Cody Gakpo £7.0m 81 94 70 NFO IPS FUL BOU MCI 1.3 6.6 #74 LIV Jeremy Jacquet £5.0m No data No data 75 NFO IPS FUL BOU MCI 1.3 6.4 #52 LIV Ryan Gravenberch £6.0m 66 89 62 NFO IPS FUL BOU MCI 0.9 4.0 #94 LIV Rio Ngumoha £6.0m 79 76 60 NFO IPS FUL BOU MCI 0.8 3.7 #102 LIV Alexis Mac Allister £5.5m 76 92 58 NFO IPS FUL BOU MCI 0.6 2.9 #114 LIV Federico Chiesa £5.5m 62 57 49 NFO IPS FUL BOU MCI 0.4 1.6 #135 LIV Endo Wataru £5.0m 26 25 51 NFO IPS FUL BOU MCI 0.3 1.6 #136 LIV Victor Munoz £6.5m No data No data 44 NFO IPS FUL BOU MCI 0.3 1.3 #144 LIV Trey Nyoni £5.0m 62 51 47 NFO IPS FUL BOU MCI 0.2 1.2 #148 LIV Harvey Elliott £5.5m 26 25 33 NFO IPS FUL BOU MCI 0.2 0.6 #176 LIV Kostas Tsimikas £5.0m 51 22 36 NFO IPS FUL BOU MCI 0.1 0.5 #128 LIV James McConnell £4.5m 26 25 30 NFO IPS FUL BOU MCI 0.1 0.4 #190 LIV Giorgi Mamardashvili £5.0m 58 78 45 NFO IPS FUL BOU MCI 0.0 0.2 #35 LIV Wellity Lucky £4.0m 51 22 26 NFO IPS FUL BOU MCI 0.0 0.1 #155 LIV Calvin Ramsay £4.0m 51 22 26 NFO IPS FUL BOU MCI 0.0 0.1 #156 LIV Curtis Jones £5.5m 68 96 20 NFO IPS FUL BOU MCI 0.0 0.1 #213 LIV Lewis Koumas £5.0m No data No data 21 NFO IPS FUL BOU MCI 0.0 0.1 #214 LIV Joe Gomez £5.0m 53 53 9 NFO IPS FUL BOU MCI 0.0 0.0 #180 LIV Conor Bradley £5.0m 51 22 9 NFO IPS FUL BOU MCI 0.0 0.0 #181 LIV Giovanni Leoni £4.0m 51 22 9 NFO IPS FUL BOU MCI 0.0 0.0 #182 LIV Hugo Ekitiké £7.5m 23 21 11 NFO IPS FUL BOU MCI 0.0 0.0 #59 LIV Jayden Danns £4.5m 23 21 11 NFO IPS FUL BOU MCI 0.0 0.0 #72 LIV Freddie Woodman £4.0m 49 77 15 NFO IPS FUL BOU MCI 0.0 0.0 #58 LIV Armin Pecsi £4.0m 50 35 15 NFO IPS FUL BOU MCI 0.0 0.0 #59 LIV Vitezslav Jaros £4.0m No data No data 15 NFO IPS FUL BOU MCI 0.0 0.0 #60 LIV Harvey Davies £4.0m No data No data 15 NFO IPS FUL BOU MCI 0.0 0.0 #61 LIV Stefan Bajčetić Maquieira £5.0m 26 25 10 NFO IPS FUL BOU MCI 0.0 0.0 #238

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 Liverpool players in your squad?

This page is what the model thinks about Liverpool. 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.