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 Crystal Palace in Gameweek 6.

Last updated Wed 7 Oct, 07:00
Next fixture

Gameweek 6, Neutral 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
5-4-1

Ranked by the minutes the model expects each player to get.

Top rated

21.9 projected points over 5 gameweeks

Nott'm Forest 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 Sels 4.3
DEF Murillo 2.3
DEF N.Williams 3.1
DEF Muñoz 1.7
DEF Jair Cunha 1.1
DEF Diomande 0.6
MID Schlager 1.8
MID McAtee 3.7
MID Ndoye 3.1
FWD Delap 4.3

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.

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
GW10 Tough
MCI Man City
Home · Sat 17:30

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 Morgan Gibbs-White £8.0m 92 98 91 CRY ARS IPS BRE MCI 4.4 21.9 #11 NFO Liam Delap £5.6m 67 79 94 CRY ARS IPS BRE MCI 4.3 19.2 #11 NFO Matz Sels £5.0m 53 89 92 CRY ARS IPS BRE MCI 4.3 18.5 #6 NFO James McAtee £5.5m 82 90 95 CRY ARS IPS BRE MCI 3.7 17.5 #21 NFO Dan Ndoye £5.5m 80 79 95 CRY ARS IPS BRE MCI 3.1 17.2 #24 NFO Neco Williams £5.0m 57 94 97 CRY ARS IPS BRE MCI 3.1 16.2 #7 NFO Murillo Costa dos Santos £5.5m 72 88 88 CRY ARS IPS BRE MCI 2.3 13.6 #15 NFO Daniel Muñoz Mejía £5.4m 54 62 81 CRY ARS IPS BRE MCI 1.7 11.2 #32 NFO Igor Jesus Maciel da Cruz £5.8m 72 77 72 CRY ARS IPS BRE MCI 1.8 10.1 #24 NFO Xaver Schlager £5.0m 47 84 76 CRY ARS IPS BRE MCI 1.8 10.0 #87 NFO Ola Aina £4.4m 57 68 78 CRY ARS IPS BRE MCI 1.6 8.1 #53 NFO Chris Wood £5.8m 57 56 58 CRY ARS IPS BRE MCI 1.2 7.1 #33 NFO Jair Paula da Cunha Filho £4.5m 67 76 72 CRY ARS IPS BRE MCI 1.1 6.3 #69 NFO Ousmane Diomande £5.4m 74 53 55 CRY ARS IPS BRE MCI 0.6 4.2 #90 NFO Ibrahim Sangaré £4.8m 53 59 47 CRY ARS IPS BRE MCI 0.6 2.9 #164 NFO Callum Hudson-Odoi £5.8m 51 34 42 CRY ARS IPS BRE MCI 0.5 2.1 #173 NFO Luca Netz £4.4m 52 39 37 CRY ARS IPS BRE MCI 0.1 0.9 #137 NFO Arnaud Kalimuendo £5.4m 24 37 41 CRY ARS IPS BRE MCI 0.2 0.9 #46 NFO Nicolás Domínguez £4.9m 19 34 37 CRY ARS IPS BRE MCI 0.2 0.9 #188 NFO Omar Richards £4.0m 50 16 31 CRY ARS IPS BRE MCI 0.0 0.2 #154 NFO Ryan Yates £4.5m 19 17 27 CRY ARS IPS BRE MCI 0.1 0.2 #219 NFO John Victor Maciel Furtado £4.5m 50 34 48 CRY ARS IPS BRE MCI 0.0 0.1 #39 NFO Steven Benda £4.5m 50 34 48 CRY ARS IPS BRE MCI 0.0 0.1 #40 NFO Felipe Rodrigues da Silva £5.0m 50 16 13 CRY ARS IPS BRE MCI 0.0 0.0 #192 NFO Zach Abbott £4.0m 50 16 13 CRY ARS IPS BRE MCI 0.0 0.0 #193 NFO Nikola Milenković £5.4m 70 64 13 CRY ARS IPS BRE MCI 0.0 0.0 #204 NFO Nicolò Savona £4.5m 50 16 13 CRY ARS IPS BRE MCI 0.0 0.0 #205 NFO Tyler Bindon £4.0m 50 16 13 CRY ARS IPS BRE MCI 0.0 0.0 #216 NFO Omari Hutchinson £5.4m 19 17 13 CRY ARS IPS BRE MCI 0.0 0.0 #265 NFO Dilane Bakwa £5.5m 19 17 13 CRY ARS IPS BRE MCI 0.0 0.0 #266

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.