Aston Villa FPL projections and fixtures

Projected points, expected minutes and fixture-by-fixture expected goals for the Aston Villa squad, from gameweek 6 onwards.

Rebuilt .

What the model makes of them

1.19goals scored against an average opponent
1.09goals conceded against an average opponent
10thattack, of 20
12thdefence, of 20

The model rates Aston Villa's attack 10th of 20 and its defence 12th: against an average opponent it projects 1.19 goals scored and 1.09 conceded.

Across the next 8 fixtures the kindest is Sunderland in gameweek 11 (home), where the model has them +0.41 goals better off; the hardest is Manchester City in gameweek 8 at -0.46.

Taken as a run rather than a fixture at a time, that schedule ranks 10th of 20 in the league for attacking upside over the same window.

Buendía is the model's pick of the squad on 31.2 points over the run, 3.4 clear of Suzuki.

The next fixtures

GameweekOpponentVenueTeam xGOpponent xGDifference
GW6BrentfordHome1.431.34+0.08
GW7Newcastle UnitedAway1.171.62-0.45
GW8Manchester CityHome1.131.59-0.46
GW9FulhamHome1.431.13+0.31
GW10Manchester UnitedAway1.161.59-0.43
GW11SunderlandHome1.400.99+0.41
GW12Ipswich TownAway1.451.12+0.33
GW13EvertonHome1.371.02+0.35
The model's own expected goals for each side of the fixture, not FPL's difficulty colours.

Aston Villa players, ranked

PlayerPosPricexMinsStartsGW6 xPtsCeilingHaulBlankRun total
BuendíaMID£5.9m6982%4.2910.411%29%31.2
SuzukiGKP£5.0m7887%3.728.11%31%27.8
N.JacksonFWD£6.5m7281%3.688.27%35%26.5
McGinnMID£5.4m7991%3.388.45%25%24.5
LindelöfDEF£4.5m7884%2.635.62%70%19.3
CashDEF£4.4m7479%2.656.63%67%18.9
MingsDEF£4.5m6972%2.667.03%66%18.6
Wan-BissakaDEF£4.5m7070%2.546.62%66%18.3
KamaraMID£5.0m7480%2.575.21%33%17.3
GomesMID£5.5m4850%2.255.23%56%17.0
BarkleyMID£5.0m5045%2.407.34%56%15.2
GoretzkaMID£5.9m2626%1.313.12%76%14.5
PauDEF£4.5m3939%1.435.61%84%13.0
ManzambiMID£5.9m2927%1.303.11%75%11.8
George HemmingsMID£4.5m3946%1.764.22%62%10.6
MbayeMID£6.0m2222%1.083.11%80%10.5
Harwood-BellisDEF£4.5m3536%1.425.61%82%9.9
AbrahamFWD£5.5m1510%0.882.42%88%8.9
GarnachoMID£5.8m1616%0.832.11%86%8.8
MaatsenDEF£4.5m--0%--------8.5
BogardeMID£5.0m1111%0.421.00%92%3.6
RuggeriDEF£4.5m77%0.301.00%96%3.1
M.BizotGKP£4.5m67%0.200.00%96%3.0
A.GarcíaDEF£4.0m810%0.371.00%96%2.9
RoweDEF£4.0m88%0.301.00%96%2.8
WrightGKP£4.0m56%0.280.00%95%2.7
AlyssonMID£5.0m32%0.130.00%98%2.3
BurrowesMID£4.5m54%0.281.00%96%2.1
OnanaMID£4.9m--0%--------1.9
Ordered by projected points across gameweeks 6–13. Blank is the chance of two points or fewer.

Plan transfers in the app

More projections

ArsenalBournemouthBrentfordBrighton & Hove AlbionChelseaCoventry CityCrystal PalaceEvertonBest goalkeepersBest defendersBest midfieldersBest forwards

About these figures

These figures are produced automatically from our own projection model and rebuilt as new data arrives — team news, results, prices and fixtures. Last rebuilt .

These are averages over thousands of simulated gameweeks, not predictions of what will happen: a single week can land a long way from the average, in either direction. The model reads published data only — it has no access to press conferences or leaked team sheets. Graded by walk-forward testing across a completed season, its average error is 1.05 points per player per gameweek over 25,750 graded player-gameweeks. That grading is blind to team news by design: each week is rebuilt from match results alone, so every player in it is scored as though he was fit and available.

The method, and where the model is measurably wrong, are set out in full on how it works.