What the model makes of them
1.43goals scored against an average opponent
1.06goals conceded against an average opponent
4thattack, of 20
6thdefence, of 20
The model rates Chelsea's attack 4th of 20 and its defence 6th: against an average opponent it projects 1.43 goals scored and 1.06 conceded.
Across the next 8 fixtures the kindest is Bournemouth in gameweek 6 (home), where the model has them +0.90 goals better off; the hardest is Nottingham Forest in gameweek 12 at +0.16.
Taken as a run rather than a fixture at a time, that schedule ranks 2nd of 20 in the league for attacking upside over the same window.
Palmer is the model's pick of the squad on 40.5 points over the run, 4.3 clear of João Pedro.
The next fixtures
| Gameweek | Opponent | Venue | Team xG | Opponent xG | Difference |
|---|---|---|---|---|---|
| GW6 | Bournemouth | Home | 2.09 | 1.19 | +0.90 |
| GW7 | Everton | Away | 1.39 | 1.17 | +0.23 |
| GW8 | Tottenham Hotspur | Home | 1.81 | 1.08 | +0.73 |
| GW9 | Manchester United | Home | 1.69 | 1.30 | +0.39 |
| GW10 | Sunderland | Away | 1.43 | 1.14 | +0.28 |
| GW11 | Leeds United | Home | 1.69 | 1.10 | +0.59 |
| GW12 | Nottingham Forest | Away | 1.46 | 1.30 | +0.16 |
| GW13 | Crystal Palace | Home | 1.71 | 1.15 | +0.56 |
Chelsea players, ranked
| Player | Pos | Price | xMins | Starts | GW6 xPts | Ceiling | Haul | Blank | Run total |
|---|---|---|---|---|---|---|---|---|---|
| Palmer | MID | £9.7m | 82 | 92% | 5.90 | 13.6 | 19% | 16% | 40.5 |
| João Pedro | FWD | £7.8m | 78 | 85% | 5.23 | 13.0 | 16% | 22% | 36.2 |
| Rogers | MID | £7.7m | 83 | 97% | 4.93 | 10.4 | 12% | 15% | 35.0 |
| Lacroix | DEF | £5.9m | 85 | 93% | 4.24 | 8.4 | 5% | 34% | 32.5 |
| Neto | MID | £6.5m | 78 | 90% | 3.99 | 9.4 | 8% | 21% | 28.4 |
| Martinez | GKP | £5.0m | 83 | 95% | 3.01 | 6.1 | 0% | 48% | 23.3 |
| Fofana | DEF | £5.0m | 74 | 81% | 3.18 | 7.4 | 3% | 50% | 22.2 |
| James | DEF | £5.4m | 48 | 46% | 2.05 | 6.0 | 3% | 75% | 21.4 |
| Colwill | DEF | £4.8m | 71 | 73% | 2.82 | 7.0 | 3% | 64% | 19.0 |
| Gusto | DEF | £5.0m | 59 | 66% | 2.38 | 5.6 | 3% | 72% | 16.3 |
| Welbeck | FWD | £5.9m | 35 | 19% | 2.21 | 7.1 | 4% | 72% | 14.3 |
| Hato | DEF | £4.5m | 53 | 63% | 2.13 | 5.6 | 2% | 73% | 14.0 |
| Palestra | DEF | £5.3m | 8 | 8% | 0.37 | 1.0 | 0% | 96% | 10.9 |
| Lavia | MID | £5.0m | 39 | 39% | 1.60 | 4.2 | 2% | 69% | 8.9 |
| Caicedo | MID | £5.3m | 12 | 7% | 0.41 | 1.0 | 0% | 93% | 8.9 |
| Acheampong | DEF | £4.5m | 27 | 31% | 1.17 | 4.6 | 1% | 88% | 7.9 |
| Gittens | MID | £5.9m | 16 | 17% | 0.85 | 2.1 | 1% | 86% | 7.5 |
| Estêvão | MID | £6.3m | 13 | 16% | 0.79 | 2.1 | 1% | 89% | 7.4 |
| Barco | MID | £5.4m | 17 | 15% | 0.82 | 2.1 | 1% | 86% | 6.3 |
| Henderson | MID | £4.9m | 30 | 24% | 1.14 | 3.1 | 1% | 78% | 6.1 |
| Chavarria | DEF | £4.9m | 15 | 13% | 0.56 | 1.0 | 0% | 94% | 4.5 |
| Quenda | MID | £5.3m | 8 | 8% | 0.52 | 1.0 | 1% | 92% | 3.6 |
| Anselmino | DEF | £4.5m | 10 | 9% | 0.45 | 1.0 | 0% | 95% | 3.5 |
| Penders | GKP | £4.4m | 5 | 5% | 0.21 | 0.0 | 0% | 96% | 3.2 |
| Emegha | FWD | £5.0m | 3 | 1% | 0.20 | 0.0 | 0% | 98% | 2.1 |
| Nicoll-Jazuli | MID | £4.5m | 5 | 5% | 0.33 | 1.0 | 0% | 95% | 2.0 |
| Mheuka | FWD | £4.5m | 1 | 1% | 0.14 | 0.0 | 0% | 99% | 1.2 |