Tottenham Hotspur FPL projections and fixtures

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

Rebuilt .

What the model makes of them

1.12goals scored against an average opponent
1.14goals conceded against an average opponent
15thattack, of 20
17thdefence, of 20

The model rates Tottenham Hotspur's attack 15th of 20 and its defence 17th: against an average opponent it projects 1.12 goals scored and 1.14 conceded.

Across the next 8 fixtures the kindest is Coventry City in gameweek 7 (home), where the model has them +0.72 goals better off; the hardest is Chelsea in gameweek 8 at -0.73.

Taken as a run rather than a fixture at a time, that schedule ranks 13th of 20 in the league for attacking upside over the same window.

Van Hecke is the model's pick of the squad on 26.4 points over the run, 0.8 clear of Marmoush.

The next fixtures

GameweekOpponentVenueTeam xGOpponent xGDifference
GW6Manchester UnitedAway1.081.67-0.59
GW7Coventry CityHome1.580.86+0.72
GW8ChelseaAway1.081.81-0.73
GW9Crystal PalaceHome1.321.23+0.09
GW10Leeds UnitedAway1.101.41-0.31
GW11Ipswich TownHome1.630.98+0.66
GW12SunderlandAway1.101.22-0.12
GW13FulhamHome1.341.17+0.17
The model's own expected goals for each side of the fixture, not FPL's difficulty colours.

Tottenham Hotspur players, ranked

PlayerPosPricexMinsStartsGW6 xPtsCeilingHaulBlankRun total
Van HeckeDEF£4.9m8695%2.987.43%55%26.4
MarmoushFWD£7.0m6073%2.967.14%40%25.6
SolankeFWD£5.8m5954%3.048.26%44%25.4
FernandesMID£5.8m6368%2.695.23%41%22.1
Van de VenDEF£5.0m8292%2.406.02%71%21.7
TonaliMID£5.3m7791%2.805.22%23%21.6
SenesiDEF£5.8m5349%1.915.61%69%20.5
BentancurMID£5.5m6577%2.675.22%41%20.3
KinskyGKP£4.5m7583%2.385.40%56%19.4
SávioMID£6.5m5058%2.145.22%51%18.6
RobertsonDEF£4.4m6667%1.945.62%79%16.8
KudusMID£6.5m3940%1.734.22%64%16.7
Pedro PorroDEF£5.4m2827%1.032.81%89%15.7
MaddisonMID£6.3m2319%1.023.11%82%12.6
TelMID£5.7m3134%1.473.12%70%12.2
GrayMID£4.9m4956%1.803.11%53%12.1
GallagherMID£5.3m4238%1.554.21%67%10.7
UdogieDEF£4.4m2222%0.712.00%93%5.9
DubravkaGKP£4.0m1415%0.441.70%92%4.8
BergvallMID£5.4m1314%0.542.10%90%4.7
XaviMID£5.9m--0%--------3.7
DaviesDEF£3.9m1410%0.371.00%96%3.5
KulusevskiMID£6.5m--0%--------2.9
TosinDEF£4.4m106%0.281.00%96%2.8
Williams-BarnettMID£4.5m65%0.271.00%95%2.2
OdobertMID£5.5m--0%--------1.7
OlusesiMID£4.4m33%0.170.00%97%1.5
ByfieldDEF£4.0m22%0.080.00%99%1.1
RowswellDEF£4.0m22%0.070.00%100%1.0
AustinGKP£4.0m11%0.060.00%99%1.0
MudrykMID£5.3m--0%--------0.9
Ordered by projected points across gameweeks 6–13. Blank is the chance of two points or fewer.

Plan transfers in the app

More projections

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.