NFO Premier League

Nott'm Forest FPL Predictions & Players

How the FPLXI model reads Nott'm Forest: the eleven it expects to start, the players it rates most and the fixture run ahead. Next up: away at Liverpool in Gameweek 2.

Last updated Sun 23 Aug, 12:45
Next fixture

Gameweek 2, Tough on the model's read

Squad predicted
28 players

Projected points for every Nott'm Forest 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

25.4 projected points over 5 gameweeks

Nott'm Forest 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 Sels 5.3
DEF Murillo 1.8
DEF N.Williams 3.0
DEF Jair Cunha 1.7
DEF Aina 1.1
MID I.Sangaré 1.9
MID McAtee 2.9
MID Ndoye 1.6
FWD Igor Jesus 2.3

Top 3 Nott'm Forest players

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

Nott'm Forest upcoming fixtures

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

GW2 Tough
LIV Liverpool
Away · Sat 12:30
GW3 Neutral
TOT Spurs
Home · Sat 15:00
GW4 Tough
AVL Aston Villa
Away · Sat 15:00
GW5 Favourable
COV Coventry City
Home · Sat 17:30
GW6 Neutral
CRY Crystal Palace
Away · Sun 14:00

Every Nott'm Forest 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
NFO Matz Sels £5.0m 51 94 95 LIV TOT AVL COV CRY 5.3 25.4 #4 NFO Neco Williams £5.0m 43 89 97 LIV TOT AVL COV CRY 3.0 19.0 #5 NFO Nikola Milenković £5.5m 51 89 94 LIV TOT AVL COV CRY 2.5 17.0 #10 NFO James McAtee £5.5m 84 63 97 LIV TOT AVL COV CRY 2.9 15.3 #12 NFO Igor Jesus Maciel da Cruz £6.0m 70 87 84 LIV TOT AVL COV CRY 2.3 13.4 #13 NFO Murillo Costa dos Santos £5.5m 76 49 90 LIV TOT AVL COV CRY 1.8 13.2 #17 NFO Jair Paula da Cunha Filho £4.5m 53 72 91 LIV TOT AVL COV CRY 1.7 11.3 #24 NFO Chris Wood £6.0m 70 79 78 LIV TOT AVL COV CRY 1.8 10.3 #15 NFO Morgan Gibbs-White £8.0m 88 86 75 LIV TOT AVL COV CRY 1.7 10.0 #41 NFO Ibrahim Sangaré £5.0m 57 73 85 LIV TOT AVL COV CRY 1.9 8.9 #55 NFO Dan Ndoye £5.5m 26 25 78 LIV TOT AVL COV CRY 1.6 8.1 #64 NFO Ola Aina £4.5m 61 59 81 LIV TOT AVL COV CRY 1.1 7.6 #42 NFO Luca Netz £4.5m 41 73 64 LIV TOT AVL COV CRY 0.7 3.7 #72 NFO Ousmane Diomande £5.5m No data No data 54 LIV TOT AVL COV CRY 0.5 2.7 #83 NFO Arnaud Kalimuendo £5.5m 23 21 55 LIV TOT AVL COV CRY 0.6 2.6 #33 NFO Xaver Schlager £5.0m No data No data 57 LIV TOT AVL COV CRY 0.5 2.3 #121 NFO Callum Hudson-Odoi £6.0m 26 25 45 LIV TOT AVL COV CRY 0.2 1.3 #146 NFO Nicolás Domínguez £5.0m 73 75 35 LIV TOT AVL COV CRY 0.1 0.6 #177 NFO Omari Hutchinson £5.5m 83 82 31 LIV TOT AVL COV CRY 0.1 0.5 #183 NFO Dilane Bakwa £5.5m 77 72 28 LIV TOT AVL COV CRY 0.1 0.4 #194 NFO Felipe Rodrigues da Silva £5.0m 47 81 19 LIV TOT AVL COV CRY 0.0 0.1 #158 NFO Omar Richards £4.0m 51 22 26 LIV TOT AVL COV CRY 0.0 0.1 #162 NFO John Victor Maciel Furtado £4.5m 50 35 38 LIV TOT AVL COV CRY 0.0 0.1 #46 NFO Steven Benda £4.5m 50 35 38 LIV TOT AVL COV CRY 0.0 0.1 #47 NFO Nicolò Savona £4.5m 51 22 9 LIV TOT AVL COV CRY 0.0 0.0 #189 NFO Zach Abbott £4.0m 59 50 9 LIV TOT AVL COV CRY 0.0 0.0 #190 NFO Tyler Bindon £4.0m No data No data 9 LIV TOT AVL COV CRY 0.0 0.0 #191 NFO Ryan Yates £4.5m 71 71 10 LIV TOT AVL COV CRY 0.0 0.0 #259

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.