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

Murillo

DEF · NFO · 5.5m · owned by 2.1%

2.23

Value

every bar on one axis of 0 to 2.5

That is 12.3 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

Murillo is the best value on the board: 2.23 points per million, from 12.3 over 5 rounds at 5.5m.

Price

5.5m

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

Ahead

12.3

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

Own

2.1%

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 Morgan Gibbs-White
    MID NFO vs
    13.0 Ahead
    Value
    1.62
    Price
    8.0m
    Own
    16%
    3.0
    1. CRY (A)
    2. ARS (H)
    3. IPS (A)
    4. BRE (A)
    5. MCI (H)
  2. Ranked 2 Murillo
    DEF NFO vs
    12.3 Ahead
    Value
    2.23
    Price
    5.5m
    Own
    2.1%
    3.0
    1. CRY (A)
    2. ARS (H)
    3. IPS (A)
    4. BRE (A)
    5. MCI (H)
  3. Ranked 3 Matz Sels
    GKP NFO vs
    10.6 Ahead
    Value
    2.11
    Price
    5.0m
    Own
    1.6%
    3.0
    1. CRY (A)
    2. ARS (H)
    3. IPS (A)
    4. BRE (A)
    5. MCI (H)
  4. Ranked 4 James McAtee
    MID NFO vs
    10.2 Ahead
    Value
    1.86
    Price
    5.5m
    Own
    0.1%
    3.0
    1. CRY (A)
    2. ARS (H)
    3. IPS (A)
    4. BRE (A)
    5. MCI (H)
  5. Ranked 5 Neco Williams
    DEF NFO vs
    10.1 Ahead
    Value
    2.03
    Price
    5.0m
    Own
    8.7%
    3.0
    1. CRY (A)
    2. ARS (H)
    3. IPS (A)
    4. BRE (A)
    5. MCI (H)
Position
All GKP DEF MID FWD
Minutes played
Any 90+ 270+ 450+ 900+
At least
Any Very safe Safe Rotation risk
Rounds ahead
3 rounds 5 rounds 8 rounds
Price
Enter your squad to mark what you already own and what you could afford →
Showing 23 of 23 players 23 of 487 match your filters Clear filters
1 Morgan Gibbs-White 13.0
MID vs NFO · 8.0m 92%
Value
1.62
Pts
3.9
xGI
0.59
Own
16%
Mins
450
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
2 Murillo 12.3
DEF vs NFO · 5.5m 92%
Value
2.23
Pts
3.8
xGI
0.15
Own
2.1%
Mins
449
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
3 Matz Sels 10.6
GKP vs NFO · 5.0m 92%
Value
2.11
Pts
3.2
xGI
0.00
Own
1.6%
Mins
450
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
4 James McAtee 10.2
MID vs NFO · 5.5m 92%
Value
1.86
Pts
3.1
xGI
0.29
Own
0.1%
Mins
416
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
5 Neco Williams 10.1
DEF vs NFO · 5.0m 92%
Value
2.03
Pts
3.1
xGI
0.20
Own
8.7%
Mins
450
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
6 Xaver Schlager 9.2
MID vs NFO · 5.0m 75%
Value
1.85
Pts
2.8
xGI
0.09
Own
0.1%
Mins
376
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
7 Dan Ndoye 8.9
MID vs NFO · 5.5m 92%
Value
1.62
Pts
2.7
xGI
0.62
Own
0.7%
Mins
316
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
8 Jair Cunha 8.0
DEF vs NFO · 4.5m 75%
Value
1.78
Pts
2.5
xGI
0.01
Own
0.2%
Mins
360
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
9 Liam Delap 8.0
FWD vs NFO · 5.6m 58%
Value
1.43
Pts
2.4
xGI
0.40
Own
2.7%
Mins
277
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
10 Igor Jesus 6.4
FWD vs NFO · 5.8m 42%
Value
1.11
Pts
1.9
xGI
0.47
Own
2.6%
Mins
257
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
11 Ola Aina 6.1
DEF vs NFO · 4.4m 75%
Value
1.39
Pts
1.9
xGI
0.17
Own
2.4%
Mins
306
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
12 Daniel Muñoz Mejía 5.2
DEF vs NFO · 5.4m 58%
Value
0.96
Pts
1.6
xGI
0.28
Own
5.7%
Mins
257
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
13 Ousmane Diomande 4.4
DEF vs NFO · 5.4m 42%
Value
0.81
Pts
1.4
xGI
0.10
Own
0.5%
Mins
163
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
14 Ibrahim Sangaré 3.8
MID vs NFO · 4.9m 25%
Value
0.77
Pts
1.1
xGI
0.10
Own
0.4%
Mins
105
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
15 Arnaud Kalimuendo 2.7
FWD vs NFO · 5.4m 8.3%
Value
0.50
Pts
0.8
xGI
0.00
Own
0.1%
Mins
1
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
16 Chris Wood 2.7
FWD vs NFO · 5.8m 8.3%
Value
0.46
Pts
0.8
xGI
0.18
Own
0.9%
Mins
62
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
17 Callum Hudson-Odoi 2.3
MID vs NFO · 5.8m 8.3%
Value
0.40
Pts
0.7
xGI
0.00
Own
0.1%
Mins
1
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
18 Nicolás Domínguez 2.3
MID vs NFO · 4.9m 8.3%
Value
0.48
Pts
0.7
xGI
0.00
Own
0.1%
Mins
1
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
19 Ryan Yates 2.3
MID vs NFO · 4.5m 8.3%
Value
0.52
Pts
0.7
xGI
0.00
Own
1.2%
Mins
0
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
20 John Victor 1.9
GKP vs NFO · 4.5m 8.3%
Value
0.43
Pts
0.6
xGI
0.00
Own
0.1%
Mins
0
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
21 Steven Benda 1.9
GKP vs NFO · 4.5m 8.3%
Value
0.43
Pts
0.6
xGI
0.00
Own
0.1%
Mins
0
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
22 Luca Netz 1.6
DEF vs NFO · 4.4m 8.3%
Value
0.37
Pts
0.5
xGI
0.07
Own
0.0%
Mins
27
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (H)
23 Omar Richards 1.6
DEF vs NFO · 4.0m 8.3%
Value
0.41
Pts
0.5
xGI
0.00
Own
0.2%
Mins
0
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
  4. BRE (A)
  5. MCI (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.

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