What the model makes of them
1.12goals scored against an average opponent
1.11goals conceded against an average opponent
14thattack, of 20
15thdefence, of 20
The model rates Nottingham Forest's attack 14th of 20 and its defence 15th: against an average opponent it projects 1.12 goals scored and 1.11 conceded.
Across the next 8 fixtures the kindest is Hull City in gameweek 13 (away), where the model has them +0.28 goals better off; the hardest is Arsenal in gameweek 7 at -0.62.
Taken as a run rather than a fixture at a time, that schedule ranks 15th of 20 in the league for attacking upside over the same window.
Gibbs-White is the model's pick of the squad on 37.9 points over the run, 10.8 clear of Murillo.
The next fixtures
| Gameweek | Opponent | Venue | Team xG | Opponent xG | Difference |
|---|---|---|---|---|---|
| GW6 | Crystal Palace | Away | 1.11 | 1.42 | -0.31 |
| GW7 | Arsenal | Home | 0.85 | 1.47 | -0.62 |
| GW8 | Ipswich Town | Away | 1.42 | 1.13 | +0.28 |
| GW9 | Brentford | Away | 1.13 | 1.63 | -0.50 |
| GW10 | Manchester City | Home | 1.08 | 1.61 | -0.53 |
| GW11 | Bournemouth | Away | 1.15 | 1.62 | -0.46 |
| GW12 | Chelsea | Home | 1.30 | 1.46 | -0.16 |
| GW13 | Hull City | Away | 1.28 | 0.99 | +0.28 |
Nottingham Forest players, ranked
| Player | Pos | Price | xMins | Starts | GW6 xPts | Ceiling | Haul | Blank | Run total |
|---|---|---|---|---|---|---|---|---|---|
| Gibbs-White | MID | £8.0m | 85 | 97% | 4.59 | 10.4 | 12% | 13% | 37.9 |
| Murillo | DEF | £5.5m | 84 | 93% | 3.35 | 7.4 | 3% | 48% | 27.0 |
| Muñoz | DEF | £5.4m | 82 | 91% | 3.08 | 7.0 | 3% | 60% | 25.0 |
| N.Williams | DEF | £5.0m | 86 | 96% | 3.12 | 7.0 | 3% | 59% | 23.9 |
| Sels | GKP | £5.0m | 81 | 90% | 2.62 | 5.4 | 0% | 54% | 20.1 |
| McAtee | MID | £5.5m | 55 | 66% | 2.45 | 5.2 | 3% | 47% | 20.0 |
| Ndoye | MID | £5.5m | 56 | 73% | 2.39 | 5.2 | 2% | 42% | 19.5 |
| Schlager | MID | £5.0m | 69 | 75% | 2.58 | 5.2 | 3% | 36% | 18.6 |
| Delap | FWD | £5.6m | 52 | 59% | 2.34 | 5.9 | 2% | 58% | 17.8 |
| Milenković | DEF | £5.4m | 37 | 34% | 1.33 | 4.6 | 1% | 84% | 16.4 |
| Hudson-Odoi | MID | £5.8m | 39 | 39% | 1.61 | 4.2 | 2% | 64% | 16.3 |
| Aina | DEF | £4.5m | 68 | 67% | 2.22 | 5.6 | 1% | 72% | 15.9 |
| Igor Jesus | FWD | £5.8m | 32 | 30% | 1.63 | 2.4 | 2% | 72% | 13.0 |
| Diomande | DEF | £5.4m | 43 | 42% | 1.56 | 5.6 | 1% | 82% | 12.5 |
| Wood | FWD | £5.8m | 25 | 14% | 1.34 | 2.4 | 2% | 81% | 12.1 |
| I.Sangaré | MID | £4.9m | 32 | 37% | 1.33 | 4.2 | 1% | 71% | 9.8 |
| Jair Cunha | DEF | £4.5m | 41 | 39% | 1.36 | 4.6 | 1% | 84% | 9.7 |
| Dominguez | MID | £4.9m | 22 | 27% | 0.96 | 3.1 | 1% | 80% | 7.1 |
| Yates | MID | £4.5m | 11 | 10% | 0.38 | 1.0 | 0% | 93% | 3.5 |
| John | GKP | £4.5m | 6 | 7% | 0.24 | 0.0 | 0% | 96% | 2.7 |
| Netz | DEF | £4.4m | 7 | 6% | 0.32 | 1.0 | 0% | 97% | 2.6 |
| Kalimuendo | FWD | £5.4m | 2 | 2% | 0.19 | 1.2 | 0% | 98% | 2.5 |
| Benda | GKP | £4.5m | 2 | 3% | 0.14 | 0.0 | 0% | 98% | 2.0 |
| O.Richards | DEF | £4.0m | 4 | 3% | 0.16 | 0.0 | 0% | 98% | 1.7 |
| Savona | DEF | £4.5m | -- | 0% | -- | -- | -- | -- | 1.3 |