Hull City FPL projections and fixtures

Projected points, expected minutes and fixture-by-fixture expected goals for the Hull 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 Hull 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 9 (home), where the model has them +0.13 goals better off; the hardest is Arsenal in gameweek 10 at -1.46.

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

McBurnie is the model's pick of the squad on 31.1 points over the run, 3.2 clear of Tzolakis.

The next fixtures

GameweekOpponentVenueTeam xGOpponent xGDifference
GW6EvertonHome0.941.22-0.28
GW7FulhamAway0.841.60-0.77
GW8BrentfordHome0.991.59-0.60
GW9Ipswich TownHome1.231.10+0.13
GW10ArsenalAway0.562.02-1.46
GW11Brighton & Hove AlbionHome0.961.56-0.61
GW12Crystal PalaceAway0.821.61-0.79
GW13Nottingham ForestHome0.991.28-0.28
The model's own expected goals for each side of the fixture, not FPL's difficulty colours.

Hull City players, ranked

PlayerPosPricexMinsStartsGW6 xPtsCeilingHaulBlankRun total
McBurnieFWD£5.5m7794%3.969.49%26%31.1
TzolakisGKP£4.6m8594%3.678.00%35%27.8
EganDEF£4.1m8394%3.397.52%46%23.8
BelloumiMID£5.1m7794%3.066.33%24%23.5
AjayiDEF£4.2m8394%3.167.03%61%21.9
MendyDEF£4.1m6077%2.857.52%60%20.1
GilesDEF£4.0m8092%2.996.62%63%20.0
SlaterMID£4.5m7986%2.926.33%26%19.3
CoyleDEF£4.0m7087%2.525.62%70%17.0
StroudMID£5.0m4556%1.843.11%59%13.2
ThomasMID£5.5m3331%1.303.11%72%11.4
IroegbunamMID£5.0m2324%0.983.10%81%8.8
Gourna-DouathMID£5.0m2322%1.013.11%81%7.9
CrooksMID£4.4m3534%1.263.11%75%7.8
GelhardtMID£5.0m1815%0.772.11%87%7.5
MoritaMID£5.0m1212%0.541.00%90%7.3
ChoMID£5.0m1413%0.672.11%89%6.0
VazFWD£5.0m1010%0.571.21%91%5.0
MouzakitisMID£5.0m1211%0.581.00%90%4.5
HerringtonDEF£4.0m1312%0.461.00%95%3.8
ÖmürMID£4.9m109%0.501.00%92%3.8
McCarthyDEF£4.0m88%0.361.00%96%3.2
PhillipsGKP£4.0m56%0.280.00%95%3.1
Norton-CuffyDEF£4.0m66%0.251.00%97%2.6
DowellMID£4.5m95%0.311.00%95%2.3
ZambranoMID£4.5m65%0.271.00%96%2.1
McNairDEF£4.0m44%0.150.00%98%2.0
TargettDEF£4.0m32%0.080.00%99%2.0
Hjertø-DahlMID£4.9m33%0.170.00%97%1.8
ButlandGKP£4.5m--0%--------1.2
Ordered by projected points across gameweeks 6–13. Blank is the chance of two points or fewer.

Plan transfers in the app

More projections

ArsenalAston VillaBournemouthBrentfordBrighton & Hove AlbionChelseaCoventry CityCrystal PalaceBest 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.