Best FPL midfielders — projected points for the next 8 gameweeks

Every midfielder ranked by the points the model expects over gameweeks 6–13, with the minutes and the spread behind each number.

Rebuilt .

Saka leads on 43.2 points across 8 gameweeks, 2.6 ahead of B.Fernandes at Manchester United.

The cheapest player in that top ten is Groß at £5.8m, projected 39.6.

Week to week the steadiest of the ten is Rice, whose score varies by about 3.02 points either side of his average; the spikiest is Saka at 4.71. Same board, opposite bets.

Top 30 midfielders by projected points

PlayerClubPricexMinsStartsGW6GW7GW8GW9GW10GW11GW12GW13FloorGW6 ceilingBest haulOwnedTotal
SakaArsenal£9.5m8090%5.75.45.94.86.35.05.15.11.013.022%13.2%43.2
B.FernandesManchester United£12.0m8285%5.74.95.54.75.44.45.34.71.013.621%39.8%40.6
PalmerChelsea£9.7m7992%5.94.75.45.14.75.14.55.11.013.619%26.8%40.5
GroßBrighton & Hove Albion£5.8m8897%5.05.44.44.25.35.35.24.72.110.417%23.3%39.6
Gibbs-WhiteNottingham Forest£8.0m8597%4.64.15.34.64.64.75.05.01.010.416%16.0%37.9
RogersChelsea£7.7m8397%4.94.04.74.34.14.44.14.41.010.412%40.1%35.0
BarnesNewcastle United£6.1m8094%4.84.54.14.54.23.84.14.61.010.411%4.7%34.6
SzoboszlaiLiverpool£7.0m7686%4.14.34.53.94.34.64.24.51.010.414%34.3%34.4
RiceArsenal£7.4m8597%4.54.24.33.84.63.94.04.12.09.39%12.4%33.4
TavernierBournemouth£6.1m8186%3.74.33.94.34.24.13.73.91.08.411%6.6%32.1
E.Le FéeSunderland£5.7m8089%4.23.94.24.34.13.74.23.41.010.411%3.4%32.1
MbeumoManchester United£7.9m8083%4.53.84.23.74.23.54.13.71.010.411%21.4%31.7
BuendíaAston Villa£5.9m7184%4.33.83.54.13.54.14.04.01.010.411%0.9%31.2
GarnerEverton£6.0m8697%4.14.03.53.74.33.73.73.71.08.47%0.2%30.9
ØdegaardArsenal£6.8m7984%4.13.74.13.44.33.53.53.61.09.310%20.0%30.1
WirtzLiverpool£7.3m7888%3.53.84.03.33.74.03.74.11.08.49%6.0%30.0
SchadeBrentford£6.1m7997%3.73.74.14.13.53.93.53.31.08.48%8.5%29.8
FodenManchester City£6.9m6478%3.24.33.53.83.53.92.93.80.09.414%2.0%29.0
Dewsbury-HallEverton£6.6m8497%3.83.73.03.34.23.53.53.41.08.410%6.2%28.4
SemenyoManchester City£8.4m7282%3.24.33.43.73.53.82.83.81.07.310%14.6%28.4
NetoChelsea£6.5m8295%4.03.43.83.53.33.73.33.51.09.48%1.4%28.4
CunhaManchester United£7.9m7181%3.93.53.83.23.73.23.73.31.09.49%5.7%28.3
StachLeeds United£6.0m7280%3.13.73.53.53.83.34.03.11.06.09%2.6%28.0
RayanBournemouth£6.3m7586%3.33.73.43.73.63.53.23.41.07.37%1.6%27.7
XhakaSunderland£5.5m8388%3.63.43.63.63.43.33.53.11.07.36%3.8%27.6
ScottBournemouth£6.1m7188%3.23.83.43.73.53.43.23.31.06.36%5.8%27.6
AmpaduLeeds United£5.4m8384%3.23.43.63.43.63.23.62.91.05.94%0.9%26.9
RashfordManchester United£7.0m6972%3.83.23.73.13.53.03.53.11.09.49%1.6%26.9
AndersonManchester City£6.3m6878%3.43.83.33.43.33.32.93.31.06.37%4.2%26.8
KluivertBournemouth£6.0m6175%3.03.63.33.63.43.22.83.21.07.38%1.0%26.0
Projected points per gameweek across gameweeks 6–13. Floor is the 10th percentile and ceiling the 90th of gameweek 6's simulated score; best haul is the strongest single week's chance of ten points.

Best value

PlayerClubPriceRun totalxPts per £1m
GroßBrighton & Hove Albion£5.8m39.66.83
BarnesNewcastle United£6.1m34.65.66
E.Le FéeSunderland£5.7m32.15.63
BuendíaAston Villa£5.9m31.25.28
TavernierBournemouth£6.1m32.15.27
GarnerEverton£6.0m30.95.15
XhakaSunderland£5.5m27.65.02
AmpaduLeeds United£5.4m26.94.98
SzoboszlaiLiverpool£7.0m34.44.92
SchadeBrentford£6.1m29.84.89
Gibbs-WhiteNottingham Forest£8.0m37.94.73
IwobiFulham£5.4m25.54.73
StachLeeds United£6.0m28.04.66
BelloumiHull City£5.1m23.54.60
RogersChelsea£7.7m35.04.54
The same projections divided by price. Cheap enablers surface here.

Build a squad round them

More projections

Best goalkeepersBest defendersBest forwardsGameweek 6ArsenalAston VillaBournemouthBrentfordBrighton & Hove AlbionChelsea

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.