xgEdge

Fantasy Premier League

Best value in the game

Every player the game would let you field, projected over the rounds ahead and priced against them. The board is ranked on the model's own currency; the value column is one click away.

Best value in the game

Dara O'Shea

DEF · IPS · 4.0m · owned by 2.7%

2.72

Value

every bar on one axis of 0 to 5.0

That is 10.9 projected points over the rounds ahead, weighted so the round in front of him counts for most.

Gameweek 6 · 5-round window · feed of 01/10 11:39

Dara O'Shea is the best value on the board: 2.72 points per million, from 10.9 over 5 rounds at 4.0m.

Price

4.0m

What the game charges for him today, which is what the value column divides by.

Ahead

10.9

His weighted score over the next 5 rounds, and the currency this board is ranked in.

Own

2.7%

The share of managers already holding him.

The top five on this board

The board as your controls leave it — the same five that open the table below.

  1. Ranked 1 Emersonn
    FWD IPS vs
    11.6 Ahead
    Value
    2.10
    Price
    5.5m
    Own
    3.5%
    3.2
    1. FUL (H)
    2. MCI (A)
    3. NFO (H)
    4. HUL (A)
    5. BOU (H)
  2. Ranked 2 Julio Enciso
    MID IPS vs
    11.2 Ahead
    Value
    2.03
    Price
    5.5m
    Own
    0.8%
    3.2
    1. FUL (H)
    2. MCI (A)
    3. NFO (H)
    4. HUL (A)
    5. BOU (H)
  3. Ranked 3 Dara O'Shea
    DEF IPS vs
    10.9 Ahead
    Value
    2.72
    Price
    4.0m
    Own
    2.7%
    3.2
    1. FUL (H)
    2. MCI (A)
    3. NFO (H)
    4. HUL (A)
    5. BOU (H)
  4. Ranked 4 Leif Davis
    DEF IPS vs
    10.9 Ahead
    Value
    2.72
    Price
    4.0m
    Own
    6.9%
    3.2
    1. FUL (H)
    2. MCI (A)
    3. NFO (H)
    4. HUL (A)
    5. BOU (H)
  5. Ranked 5 Issa Diop
    DEF IPS vs
    10.4 Ahead
    Value
    2.60
    Price
    4.0m
    Own
    13%
    3.2
    1. FUL (H)
    2. MCI (A)
    3. NFO (H)
    4. HUL (A)
    5. BOU (H)
Position
Minutes played
Rounds ahead
Price
1 Emersonn 11.6
FWD vs IPS · 5.5m 92%
Value
2.10
Pts
3.6
xGI
0.49
Own
3.5%
Mins
317
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
2 Julio Enciso 11.2
MID vs IPS · 5.5m 92%
Value
2.03
Pts
3.5
xGI
0.46
Own
0.8%
Mins
413
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
3 Dara O'Shea 10.9
DEF vs IPS · 4.0m 92%
Value
2.72
Pts
3.4
xGI
0.06
Own
2.7%
Mins
450
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
4 Leif Davis 10.9
DEF vs IPS · 4.0m 92%
Value
2.72
Pts
3.5
xGI
0.41
Own
6.9%
Mins
450
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
5 Issa Diop 10.4
DEF vs IPS · 4.0m 92%
Value
2.60
Pts
3.3
xGI
0.04
Own
13%
Mins
450
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
6 Saša Lukić 9.6
MID vs IPS · 4.9m 92%
Value
1.96
Pts
3.0
xGI
0.09
Own
0.1%
Mins
400
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
GKP vs IPS · 4.5m 75%
Value
2.06
Pts
2.8
xGI
0.00
Own
0.6%
Mins
360
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
MID vs IPS · 5.0m 70%
Value
1.78
Pts
2.7
xGI
0.03
Own
0.1%
Mins
275
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
DEF vs IPS · 4.0m 75%
Value
1.83
Pts
2.3
xGI
0.02
Own
1.1%
Mins
357
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
10 Daizen Maeda 7.0
MID vs IPS · 5.3m 58%
Value
1.33
Pts
2.2
xGI
0.26
Own
0.2%
Mins
259
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
11 Jack Clarke 5.5
MID vs IPS · 5.4m 42%
Value
1.02
Pts
1.7
xGI
0.36
Own
0.2%
Mins
170
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
MID vs IPS · 4.9m 42%
Value
1.08
Pts
1.6
xGI
0.05
Own
0.1%
Mins
140
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
13 Zian Flemming 3.3
FWD vs IPS · 5.5m 13%
Value
0.60
Pts
1.0
xGI
0.98
Own
0.1%
Mins
60
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
14 Christian Walton 3.2
GKP vs IPS · 4.4m 25%
Value
0.72
Pts
1.0
xGI
0.01
Own
0.4%
Mins
90
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
15 Chuba Akpom 2.9
FWD vs IPS · 5.0m 8.3%
Value
0.58
Pts
0.9
xGI
1.32
Own
1.2%
Mins
78
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
FWD vs IPS · 4.5m 8.3%
Value
0.62
Pts
0.9
xGI
0.00
Own
3.5%
Mins
10
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
DEF vs IPS · 4.0m 25%
Value
0.69
Pts
0.9
xGI
0.03
Own
0.9%
Mins
131
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
18 Anis Mehmeti 2.4
MID vs IPS · 4.8m 8.3%
Value
0.50
Pts
0.7
xGI
0.00
Own
0.0%
Mins
0
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
19 Azor Matusiwa 2.4
MID vs IPS · 4.9m 8.3%
Value
0.49
Pts
0.7
xGI
0.00
Own
0.0%
Mins
0
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
20 Florentino 2.4
MID vs IPS · 4.8m 8.3%
Value
0.49
Pts
0.7
xGI
0.03
Own
0.1%
Mins
30
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
21 Jaden Philogene 2.4
MID vs IPS · 5.4m 8.3%
Value
0.44
Pts
0.7
xGI
0.16
Own
0.1%
Mins
52
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
22 Kasey McAteer 2.4
MID vs IPS · 4.4m 8.3%
Value
0.54
Pts
0.7
xGI
0.11
Own
1.0%
Mins
42
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
23 Alex Palmer 1.8
GKP vs IPS · 4.0m 8.3%
Value
0.45
Pts
0.6
xGI
0.00
Own
3.9%
Mins
0
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
24 David Button 1.8
GKP vs IPS · 4.0m 8.3%
Value
0.45
Pts
0.6
xGI
0.00
Own
0.6%
Mins
0
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
25 Cédric Kipré 1.5
DEF vs IPS · 3.9m 8.3%
Value
0.38
Pts
0.5
xGI
0.00
Own
0.9%
Mins
0
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
DEF vs IPS · 3.9m 8.3%
Value
0.38
Pts
0.5
xGI
0.00
Own
0.6%
Mins
17
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
  4. HUL (A)
  5. BOU (H)
each row's Ahead, drawn to scale every bar on one axis of 0 to 20

What this board is, and what it is not

Every ranking here is in expected points or in the weighted score for the rounds ahead, which are the units this model is measured in. The value column is those figures restated over a price — it is a way of scanning the board, and nothing on this site backtests it.

Bonus points are projected nowhere on this site, so they are in none of these figures.

The window score is points times weight rather than points. The 5 weights sum to 3.36, so a window score is never a total anybody could add up from the per-round figures beside it.

The price is what he costs today. What the game would pay for a player who has risen is less, so a value figure is an estimate of a purchase rather than of a sale.

The board is every player the game would let you field, the flagged included — whether a doubtful player is worth picking is a judgement the projection makes with his published chance of playing, not one made by hiding him.

What is measured here, and what is not

  • Measured The projected points

    Replayed against gameweek 2 after it was played: an average miss of 1.617 points a player, against 1.842 for “predict what he has averaged so far”, over 456 players. Recorded Sunday, 6 September 2026 and refreshed by hand, so the date is part of the claim.