Coventry City FPL projections and fixtures

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

Rebuilt .

What the model makes of them

0.83goals scored against an average opponent
1.31goals conceded against an average opponent
19thattack, of 20
18thdefence, of 20

The model rates Coventry City's attack 19th of 20 and its defence 18th: against an average opponent it projects 0.83 goals scored and 1.31 conceded.

They were promoted this summer, so the rating leans harder on the market and on prior-division form than it does for an established side — treat it as a wider bet.

Across the next 8 fixtures the kindest is Ipswich Town in gameweek 13 (home), where the model has them +0.11 goals better off; the hardest is Leeds United in gameweek 12 at -0.74.

Taken as a run rather than a fixture at a time, that schedule ranks 19th of 20 in the league for attacking upside over the same window.

Thomas is the model's pick of the squad on 28.3 points over the run, 0.5 clear of Pinnock.

The next fixtures

GameweekOpponentVenueTeam xGOpponent xGDifference
GW6Newcastle UnitedHome0.971.63-0.67
GW7Tottenham HotspurAway0.861.58-0.72
GW8FulhamHome1.001.33-0.34
GW9SunderlandHome0.971.16-0.19
GW10EvertonAway0.791.41-0.62
GW11Crystal PalaceHome0.981.36-0.38
GW12Leeds UnitedAway0.811.56-0.74
GW13Ipswich TownHome1.191.07+0.11
The model's own expected goals for each side of the fixture, not FPL's difficulty colours.

Coventry City players, ranked

PlayerPosPricexMinsStartsGW6 xPtsCeilingHaulBlankRun total
ThomasDEF£4.0m8597%3.327.53%50%28.3
PinnockDEF£4.5m8896%3.637.52%37%27.8
DasilvaDEF£4.0m8697%2.665.62%68%22.2
van EwijkDEF£4.0m5356%1.765.61%78%20.3
RudoniMID£4.9m6271%2.836.33%41%19.5
RushworthGKP£4.5m7786%2.465.40%54%19.3
GrimesMID£4.9m7680%2.685.23%29%18.5
Mason-ClarkMID£5.4m5667%2.315.22%47%17.7
OnyekaMID£4.9m5964%2.194.21%51%15.3
GbohoMID£5.5m4346%1.834.22%63%15.3
Thomas-AsanteFWD£5.0m5156%2.507.14%52%14.8
AwoniyiFWD£5.4m--0%--------13.4
TchaounaMID£5.4m3032%1.313.11%74%11.6
AmendaDEF£4.0m--0%--------10.5
SimmsFWD£5.0m3138%1.714.72%69%10.2
HamerMID£5.4m1816%0.812.11%86%8.9
TorpMID£5.3m1515%0.702.11%88%8.1
YirenkyiMID£4.9m3027%1.103.11%78%7.4
CherifFWD£5.0m2021%0.992.41%82%6.5
BidwellDEF£4.0m3843%1.315.61%83%5.8
MfuniDEF£4.0m3336%0.922.81%89%4.4
LatibeaudiereDEF£4.0m2124%0.752.01%90%3.7
EcclesMID£4.8m76%0.341.00%95%3.5
BentleyGKP£4.0m89%0.300.00%95%3.1
WilsonGKP£4.4m44%0.220.00%96%2.9
WoolfendenDEF£4.0m--0%--------2.4
SakamotoMID£4.8m54%0.251.00%96%2.4
ShepherdMID£4.4m76%0.351.00%95%2.4
Kesler-HaydenDEF£3.9m--0%--------0.8
Ordered by projected points across gameweeks 6–13. Blank is the chance of two points or fewer.

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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.