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: at home to Coventry City in Gameweek 5.

Last updated Mon 14 Sep, 21:45
Next fixture

Gameweek 5, Favourable on the model's read

Squad predicted
30 players

Projected points for every Nott'm Forest 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

19.9 projected points over 5 gameweeks

Nott'm Forest predicted lineup

The eleven the model expects to start in Gameweek 5, 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 Sels 3.4
DEF Murillo 4.4
DEF N.Williams 5.4
DEF Aina 3.6
DEF Muñoz 3.0
MID Schlager 2.3
MID McAtee 3.4
MID Ndoye 2.6
FWD Delap 4.7
FWD Igor Jesus 4.0

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.

GW5 Favourable
COV Coventry City
Home · Sat 17:30
GW6 Neutral
CRY Crystal Palace
Away · Sun 14:00
GW7 Tough
ARS Arsenal
Home · Sun 16:30
GW8 Favourable
IPS Ipswich Town
Away · Fri 20:00
GW9 Neutral
BRE Brentford
Away · Sat 15:00

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 Liam Delap £5.5m 70 76 90 COV CRY ARS IPS BRE 4.7 19.9 #14 NFO Neco Williams £5.0m 59 94 99 COV CRY ARS IPS BRE 5.4 19.6 #4 NFO Murillo Costa dos Santos £5.5m 70 87 95 COV CRY ARS IPS BRE 4.4 18.0 #7 NFO Igor Jesus Maciel da Cruz £5.8m 74 79 84 COV CRY ARS IPS BRE 4.0 16.6 #18 NFO James McAtee £5.5m 87 89 97 COV CRY ARS IPS BRE 3.4 15.9 #23 NFO Morgan Gibbs-White £7.9m 74 98 81 COV CRY ARS IPS BRE 4.1 15.8 #24 NFO Matz Sels £5.0m 52 89 85 COV CRY ARS IPS BRE 3.4 15.7 #10 NFO Ola Aina £4.5m 56 76 97 COV CRY ARS IPS BRE 3.6 15.4 #13 NFO Daniel Muñoz Mejía £5.4m 56 58 86 COV CRY ARS IPS BRE 3.0 11.9 #28 NFO Dan Ndoye £5.5m 78 78 80 COV CRY ARS IPS BRE 2.6 10.7 #63 NFO Xaver Schlager £5.0m 49 82 78 COV CRY ARS IPS BRE 2.3 9.4 #76 NFO Ousmane Diomande £5.4m 77 50 61 COV CRY ARS IPS BRE 1.7 6.3 #74 NFO Chris Wood £5.8m 61 56 61 COV CRY ARS IPS BRE 1.1 4.9 #31 NFO Callum Hudson-Odoi £5.8m 57 36 51 COV CRY ARS IPS BRE 0.7 3.4 #138 NFO Ibrahim Sangaré £4.9m 65 60 52 COV CRY ARS IPS BRE 0.7 3.0 #151 NFO Luca Netz £4.4m 53 38 49 COV CRY ARS IPS BRE 0.6 2.8 #112 NFO Nicolás Domínguez £4.9m 21 36 40 COV CRY ARS IPS BRE 0.3 1.4 #177 NFO Jair Paula da Cunha Filho £4.5m 66 71 38 COV CRY ARS IPS BRE 0.2 1.1 #132 NFO Arnaud Kalimuendo £5.4m 24 37 44 COV CRY ARS IPS BRE 0.2 1.0 #45 NFO Omar Richards £4.0m 51 17 31 COV CRY ARS IPS BRE 0.1 0.2 #153 NFO John Victor Maciel Furtado £4.5m 50 34 54 COV CRY ARS IPS BRE 0.1 0.2 #34 NFO Steven Benda £4.5m 50 34 44 COV CRY ARS IPS BRE 0.1 0.1 #41 NFO Nikola Milenković £5.5m 69 71 13 COV CRY ARS IPS BRE 0.0 0.0 #189 NFO Nicolò Savona £4.5m 51 17 13 COV CRY ARS IPS BRE 0.0 0.0 #205 NFO Tyler Bindon £4.0m 51 17 13 COV CRY ARS IPS BRE 0.0 0.0 #209 NFO Felipe Rodrigues da Silva £5.0m 51 17 13 COV CRY ARS IPS BRE 0.0 0.0 #211 NFO Zach Abbott £4.0m 51 17 13 COV CRY ARS IPS BRE 0.0 0.0 #212 NFO Ryan Yates £4.5m 21 18 13 COV CRY ARS IPS BRE 0.0 0.0 #265 NFO Omari Hutchinson £5.4m 21 18 13 COV CRY ARS IPS BRE 0.0 0.0 #285 NFO Dilane Bakwa £5.5m 21 18 13 COV CRY ARS IPS BRE 0.0 0.0 #286

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 Nott'm Forest players in your squad?

This page is what the model thinks about Nott'm Forest. 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.

Free, no card needed. Or upload a squad screenshot from the home page.

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.