What the model makes of them
1.46goals scored against an average opponent
0.68goals conceded against an average opponent
3rdattack, of 20
1stdefence, of 20
The model rates Arsenal's attack 3rd of 20 and its defence 1st: against an average opponent it projects 1.46 goals scored and 0.68 conceded.
Across the next 8 fixtures the kindest is Hull City in gameweek 10 (home), where the model has them +1.46 goals better off; the hardest is Liverpool in gameweek 9 at +0.07.
Taken as a run rather than a fixture at a time, that schedule ranks 4th of 20 in the league for attacking upside over the same window.
Saka is the model's pick of the squad on 43.2 points over the run, 7.1 clear of Gabriel.
The next fixtures
| Gameweek | Opponent | Venue | Team xG | Opponent xG | Difference |
|---|---|---|---|---|---|
| GW6 | Leeds United | Home | 1.70 | 0.71 | +0.99 |
| GW7 | Nottingham Forest | Away | 1.47 | 0.85 | +0.62 |
| GW8 | Everton | Home | 1.66 | 0.66 | +1.00 |
| GW9 | Liverpool | Away | 1.28 | 1.21 | +0.07 |
| GW10 | Hull City | Home | 2.02 | 0.56 | +1.46 |
| GW11 | Newcastle United | Away | 1.43 | 1.11 | +0.32 |
| GW12 | Manchester City | Home | 1.43 | 1.11 | +0.32 |
| GW13 | Brentford | Away | 1.46 | 1.14 | +0.32 |
Arsenal players, ranked
| Player | Pos | Price | xMins | Starts | GW6 xPts | Ceiling | Haul | Blank | Run total |
|---|---|---|---|---|---|---|---|---|---|
| Saka | MID | £9.5m | 80 | 90% | 5.68 | 13.0 | 19% | 31% | 43.2 |
| Gabriel | DEF | £8.0m | 87 | 97% | 4.98 | 9.5 | 8% | 34% | 36.0 |
| Rice | MID | £7.4m | 85 | 97% | 4.55 | 9.3 | 9% | 28% | 33.4 |
| Ødegaard | MID | £6.8m | 79 | 84% | 4.07 | 9.3 | 9% | 41% | 30.1 |
| Havertz | FWD | £7.6m | 77 | 82% | 4.07 | 9.4 | 9% | 30% | 30.0 |
| Konsa | DEF | £4.6m | 85 | 92% | 4.11 | 7.6 | 4% | 47% | 26.3 |
| Raya | GKP | £6.0m | 83 | 92% | 3.44 | 6.4 | 0% | 41% | 24.8 |
| Calafiori | DEF | £5.8m | 69 | 86% | 3.52 | 7.0 | 4% | 56% | 23.3 |
| Tzolis | MID | £6.3m | 72 | 90% | 3.04 | 6.3 | 3% | 49% | 21.8 |
| J.Timber | DEF | £6.5m | 47 | 45% | 2.26 | 5.6 | 3% | 73% | 18.7 |
| Bruno G. | MID | £6.7m | 46 | 35% | 2.09 | 6.0 | 4% | 71% | 17.4 |
| White | DEF | £5.5m | 56 | 51% | 2.51 | 6.6 | 2% | 69% | 16.8 |
| Eze | MID | £6.3m | 28 | 20% | 1.52 | 5.0 | 3% | 81% | 13.4 |
| Gyökeres | FWD | £7.1m | 23 | 21% | 1.52 | 5.9 | 2% | 78% | 12.2 |
| Zubimendi | MID | £5.3m | 27 | 24% | 1.29 | 3.3 | 1% | 83% | 7.9 |
| Hincapie | DEF | £5.3m | 19 | 18% | 1.00 | 3.8 | 1% | 88% | 7.6 |
| Lewis-Skelly | MID | £5.4m | 28 | 28% | 1.07 | 3.3 | 0% | 86% | 7.0 |
| Madueke | MID | £6.2m | 12 | 12% | 0.69 | 2.0 | 1% | 92% | 6.7 |
| Merino | MID | £5.8m | 15 | 10% | 0.75 | 2.0 | 1% | 91% | 6.0 |
| Mosquera | DEF | £5.3m | 17 | 15% | 0.80 | 2.0 | 0% | 91% | 5.9 |
| Saliba | DEF | £5.9m | -- | 0% | -- | -- | -- | -- | 4.5 |
| Arrizabalaga | GKP | £4.9m | 5 | 6% | 0.21 | 0.0 | 0% | 96% | 2.4 |
| Dowman | MID | £5.3m | 4 | 3% | 0.25 | 1.0 | 0% | 97% | 2.4 |
| Meslier | GKP | £4.9m | 2 | 2% | 0.08 | 0.0 | 0% | 99% | 1.6 |