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

Bobby Thomas

DEF · COV · 4.0m · owned by 8.5%

3.40

Value

every bar on one axis of 0 to 5.0

That is 13.6 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

Bobby Thomas is the best value on the board: 3.40 points per million, from 13.6 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

13.6

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

Own

8.5%

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 Erling Haaland
    FWD MCI vs
    16.7 Ahead
    Value
    1.07
    Price
    15.6m
    Own
    74%
    2.8
    1. LIV (A)
    2. IPS (H)
    3. AVL (A)
    4. BHA (H)
    5. NFO (A)
  2. Ranked 2 Bukayo Saka
    MID ARS vs
    14.7 Ahead
    Value
    1.55
    Price
    9.5m
    Own
    14%
    2.4
    1. LEE (H)
    2. NFO (A)
    3. EVE (H)
    4. LIV (A)
    5. HUL (H)
  3. Ranked 3 Bruno Fernandes
    MID MUN vs
    14.2 Ahead
    Value
    1.19
    Price
    11.9m
    Own
    39%
    2.4
    1. TOT (H)
    2. LEE (A)
    3. BOU (H)
    4. CHE (A)
    5. AVL (H)
  4. Ranked 4 Bryan Mbeumo
    MID MUN vs
    14.1 Ahead
    Value
    1.78
    Price
    7.9m
    Own
    21%
    2.4
    1. TOT (H)
    2. LEE (A)
    3. BOU (H)
    4. CHE (A)
    5. AVL (H)
  5. Ranked 5 Thierno Barry
    FWD EVE vs
    13.7 Ahead
    Value
    2.41
    Price
    5.7m
    Own
    8.3%
    3.0
    1. HUL (A)
    2. CHE (H)
    3. ARS (A)
    4. !
    5. COV (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 60 of 188 players 188 of 487 match your filters Clear filters
1 Erling Haaland 16.7
FWD vs MCI · 15.6m 92%
Value
1.07
Pts
4.6
xGI
0.99
Own
74%
Mins
450
  1. LIV (A)
  2. IPS (H)
  3. AVL (A)
  4. BHA (H)
  5. NFO (A)
2 Bukayo Saka 14.7
MID vs ARS · 9.5m 92%
Value
1.55
Pts
4.6
xGI
0.91
Own
14%
Mins
416
  1. LEE (H)
  2. NFO (A)
  3. EVE (H)
  4. LIV (A)
  5. HUL (H)
3 Bruno Fernandes 14.2
MID vs MUN · 11.9m 92%
Value
1.19
Pts
4.4
xGI
0.77
Own
39%
Mins
450
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
4 Bryan Mbeumo 14.1
MID vs MUN · 7.9m 92%
Value
1.78
Pts
4.4
xGI
0.77
Own
21%
Mins
450
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
5 Thierno Barry 13.7
FWD vs EVE · 5.7m 92%
Value
2.41
Pts
4.0
xGI
0.79
Own
8.3%
Mins
417
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
6 Alex Scott 13.7
MID vs BOU · 6.1m 92%
Value
2.24
Pts
4.0
xGI
0.21
Own
5.8%
Mins
446
  1. CHE (A)
  2. SUN (H)
  3. MUN (A)
  4. LEE (H)
  5. IPS (A)
7 Bobby Thomas 13.6
DEF vs COV · 4.0m 92%
Value
3.40
Pts
4.4
xGI
0.16
Own
8.5%
Mins
437
  1. NEW (H)
  2. TOT (A)
  3. FUL (H)
  4. SUN (H)
  5. EVE (A)
8 Gabriel Magalhães 13.6
DEF vs ARS · 8.0m 92%
Value
1.70
Pts
4.3
xGI
0.14
Own
23%
Mins
450
  1. LEE (H)
  2. NFO (A)
  3. EVE (H)
  4. LIV (A)
  5. HUL (H)
9 Anton Stach 13.4
MID vs LEE · 6.0m 92%
Value
2.24
Pts
3.7
xGI
0.26
Own
2.5%
Mins
447
  1. ARS (A)
  2. MUN (H)
  3. SUN (A)
  4. BOU (A)
  5. TOT (H)
10 Marcus Tavernier 13.4
MID vs BOU · 6.1m 92%
Value
2.20
Pts
3.9
xGI
0.56
Own
6.8%
Mins
424
  1. CHE (A)
  2. SUN (H)
  3. MUN (A)
  4. LEE (H)
  5. IPS (A)
11 Gonzalo García 13.4
FWD vs FUL · 6.0m 92%
Value
2.23
Pts
3.9
xGI
0.61
Own
4.0%
Mins
425
  1. IPS (A)
  2. HUL (H)
  3. COV (A)
  4. AVL (A)
  5. NEW (H)
12 Vitaly Janelt 13.3
MID vs BRE · 5.0m 92%
Value
2.67
Pts
4.0
xGI
0.20
Own
2.5%
Mins
450
  1. AVL (A)
  2. LIV (H)
  3. HUL (A)
  4. NFO (H)
  5. BHA (A)
13 Pascal Groß 13.3
MID vs BHA · 5.8m 92%
Value
2.29
Pts
3.8
xGI
0.52
Own
29%
Mins
450
  1. SUN (A)
  2. CRY (H)
  3. LIV (A)
  4. MCI (A)
  5. BRE (H)
14 David Raya Martín 13.2
GKP vs ARS · 6.1m 92%
Value
2.17
Pts
4.1
xGI
0.00
Own
42%
Mins
450
  1. LEE (H)
  2. NFO (A)
  3. EVE (H)
  4. LIV (A)
  5. HUL (H)
15 António Silva 13.2
DEF vs BOU · 5.0m 92%
Value
2.64
Pts
3.8
xGI
0.23
Own
0.4%
Mins
450
  1. CHE (A)
  2. SUN (H)
  3. MUN (A)
  4. LEE (H)
  5. IPS (A)
16 Igor Thiago 13.1
FWD vs BRE · 7.8m 92%
Value
1.68
Pts
3.9
xGI
0.67
Own
9.1%
Mins
442
  1. AVL (A)
  2. LIV (H)
  3. HUL (A)
  4. NFO (H)
  5. BHA (A)
17 James Tarkowski 13.1
DEF vs EVE · 6.2m 92%
Value
2.11
Pts
3.9
xGI
0.05
Own
17%
Mins
450
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
18 Granit Xhaka 13.1
MID vs SUN · 5.5m 92%
Value
2.37
Pts
4.0
xGI
0.27
Own
3.6%
Mins
450
  1. BHA (H)
  2. BOU (A)
  3. LEE (H)
  4. COV (A)
  5. CHE (H)
19 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)
20 Enzo Le Fée 13.0
MID vs SUN · 5.7m 92%
Value
2.28
Pts
4.0
xGI
0.70
Own
3.4%
Mins
438
  1. BHA (H)
  2. BOU (A)
  3. LEE (H)
  4. COV (A)
  5. CHE (H)
21 Yoane Wissa 12.9
FWD vs NEW · 6.2m 92%
Value
2.09
Pts
3.7
xGI
0.49
Own
19%
Mins
441
  1. COV (A)
  2. AVL (H)
  3. CRY (A)
  4. !
  5. FUL (A)
22 Riccardo Calafiori 12.9
DEF vs ARS · 5.8m 92%
Value
2.22
Pts
4.1
xGI
0.27
Own
51%
Mins
416
  1. LEE (H)
  2. NFO (A)
  3. EVE (H)
  4. LIV (A)
  5. HUL (H)
23 John Egan 12.8
DEF vs HUL · 4.1m 92%
Value
3.13
Pts
4.0
xGI
0.01
Own
7.0%
Mins
437
  1. EVE (H)
  2. FUL (A)
  3. BRE (H)
  4. IPS (H)
  5. ARS (A)
24 Kevin Schade 12.7
MID vs BRE · 6.2m 92%
Value
2.05
Pts
3.8
xGI
0.37
Own
12%
Mins
447
  1. AVL (A)
  2. LIV (H)
  3. HUL (A)
  4. NFO (H)
  5. BHA (A)
25 James Trafford 12.7
GKP vs LEE · 5.0m 92%
Value
2.54
Pts
3.7
xGI
0.00
Own
5.5%
Mins
450
  1. ARS (A)
  2. MUN (H)
  3. SUN (A)
  4. BOU (A)
  5. TOT (H)
26 Martin Ødegaard 12.6
MID vs ARS · 6.8m 92%
Value
1.86
Pts
3.9
xGI
0.58
Own
20%
Mins
377
  1. LEE (H)
  2. NFO (A)
  3. EVE (H)
  4. LIV (A)
  5. HUL (H)
27 Dominic Calvert-Lewin 12.6
FWD vs LEE · 6.0m 92%
Value
2.10
Pts
3.3
xGI
0.66
Own
25%
Mins
419
  1. ARS (A)
  2. MUN (H)
  3. SUN (A)
  4. BOU (A)
  5. TOT (H)
28 Tarik Muharemović 12.5
DEF vs LEE · 5.0m 92%
Value
2.50
Pts
3.5
xGI
0.11
Own
4.3%
Mins
450
  1. ARS (A)
  2. MUN (H)
  3. SUN (A)
  4. BOU (A)
  5. TOT (H)
29 Konstantinos Tzolakis 12.5
GKP vs HUL · 4.7m 92%
Value
2.65
Pts
3.8
xGI
0.00
Own
13%
Mins
450
  1. EVE (H)
  2. FUL (A)
  3. BRE (H)
  4. IPS (H)
  5. ARS (A)
30 Morgan Rogers 12.3
MID vs CHE · 7.7m 92%
Value
1.59
Pts
3.7
xGI
0.60
Own
41%
Mins
437
  1. BOU (H)
  2. EVE (A)
  3. TOT (H)
  4. MUN (H)
  5. SUN (A)
31 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)
32 Senne Lammens 12.2
GKP vs MUN · 4.9m 92%
Value
2.50
Pts
3.8
xGI
0.00
Own
9.9%
Mins
450
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
33 Lewis Hall 12.2
DEF vs NEW · 5.3m 92%
Value
2.30
Pts
3.6
xGI
0.21
Own
17%
Mins
449
  1. COV (A)
  2. AVL (H)
  3. CRY (A)
  4. !
  5. FUL (A)
34 Josh King 12.2
MID vs FUL · 5.5m 92%
Value
2.21
Pts
3.5
xGI
0.43
Own
2.6%
Mins
425
  1. IPS (A)
  2. HUL (H)
  3. COV (A)
  4. AVL (A)
  5. NEW (H)
35 Alisson Becker 12.1
GKP vs LIV · 5.5m 92%
Value
2.21
Pts
3.6
xGI
0.00
Own
4.1%
Mins
450
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
36 Chris Richards 12.0
DEF vs CRY · 4.9m 92%
Value
2.46
Pts
3.8
xGI
0.03
Own
0.6%
Mins
450
  1. NFO (H)
  2. BHA (A)
  3. NEW (H)
  4. TOT (A)
  5. LIV (H)
37 Jarrad Branthwaite 12.0
DEF vs EVE · 5.5m 92%
Value
2.19
Pts
3.6
xGI
0.03
Own
2.4%
Mins
450
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
38 Dominik Szoboszlai 12.0
MID vs LIV · 7.0m 92%
Value
1.71
Pts
3.7
xGI
0.46
Own
33%
Mins
440
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
39 Kiernan Dewsbury-Hall 12.0
MID vs EVE · 6.6m 92%
Value
1.81
Pts
3.5
xGI
0.37
Own
6.0%
Mins
450
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
40 Ethan Ampadu 11.9
MID vs LEE · 5.4m 92%
Value
2.20
Pts
3.4
xGI
0.07
Own
0.9%
Mins
450
  1. ARS (A)
  2. MUN (H)
  3. SUN (A)
  4. BOU (A)
  5. TOT (H)
41 Sven Botman 11.9
DEF vs NEW · 5.0m 92%
Value
2.38
Pts
3.5
xGI
0.04
Own
0.7%
Mins
450
  1. COV (A)
  2. AVL (H)
  3. CRY (A)
  4. !
  5. FUL (A)
42 James Hill 11.7
DEF vs BOU · 5.5m 92%
Value
2.13
Pts
3.4
xGI
0.16
Own
0.8%
Mins
450
  1. CHE (A)
  2. SUN (H)
  3. MUN (A)
  4. LEE (H)
  5. IPS (A)
43 Oli McBurnie 11.7
FWD vs HUL · 5.5m 92%
Value
2.13
Pts
3.6
xGI
0.28
Own
1.9%
Mins
441
  1. EVE (H)
  2. FUL (A)
  3. BRE (H)
  4. IPS (H)
  5. ARS (A)
44 Matheus Cunha 11.7
MID vs MUN · 7.9m 92%
Value
1.48
Pts
3.6
xGI
0.32
Own
5.8%
Mins
407
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
45 Bernd Leno 11.7
GKP vs FUL · 4.5m 92%
Value
2.59
Pts
3.3
xGI
0.00
Own
3.4%
Mins
450
  1. IPS (A)
  2. HUL (H)
  3. COV (A)
  4. AVL (A)
  5. NEW (H)
46 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)
47 Marc Guéhi 11.5
DEF vs MCI · 6.0m 92%
Value
1.92
Pts
3.1
xGI
0.27
Own
18%
Mins
450
  1. LIV (A)
  2. IPS (H)
  3. AVL (A)
  4. BHA (H)
  5. NFO (A)
48 Evanilson 11.5
FWD vs BOU · 6.0m 92%
Value
1.92
Pts
3.4
xGI
0.29
Own
3.2%
Mins
424
  1. CHE (A)
  2. SUN (H)
  3. MUN (A)
  4. LEE (H)
  5. IPS (A)
49 Kristoffer Ajer 11.5
DEF vs BRE · 4.5m 92%
Value
2.56
Pts
3.4
xGI
0.05
Own
3.9%
Mins
450
  1. AVL (A)
  2. LIV (H)
  3. HUL (A)
  4. NFO (H)
  5. BHA (A)
50 Virgil van Dijk 11.5
DEF vs LIV · 6.5m 92%
Value
1.77
Pts
3.4
xGI
0.07
Own
16%
Mins
450
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
51 Gianluigi Donnarumma 11.5
GKP vs MCI · 5.5m 92%
Value
2.09
Pts
3.3
xGI
0.00
Own
7.6%
Mins
450
  1. LIV (A)
  2. IPS (H)
  3. AVL (A)
  4. BHA (H)
  5. NFO (A)
52 Elliot Anderson 11.4
MID vs MCI · 6.3m 92%
Value
1.81
Pts
3.2
xGI
0.17
Own
4.0%
Mins
413
  1. LIV (A)
  2. IPS (H)
  3. AVL (A)
  4. BHA (H)
  5. NFO (A)
53 Alexander Isak ! 11.4
FWD vs LIV · 9.1m 69%
Value
1.25
Pts
3.5
xGI
0.79
Own
22%
Mins
413
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
54 Youri Tielemans 11.4
MID vs MUN · 5.8m 92%
Value
1.96
Pts
3.5
xGI
0.27
Own
1.5%
Mins
402
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
55 James Justin 11.4
DEF vs LEE · 4.5m 92%
Value
2.53
Pts
3.2
xGI
0.12
Own
1.4%
Mins
450
  1. ARS (A)
  2. MUN (H)
  3. SUN (A)
  4. BOU (A)
  5. TOT (H)
56 Adrien Truffert 11.3
DEF vs BOU · 5.4m 92%
Value
2.10
Pts
3.3
xGI
0.08
Own
3.0%
Mins
450
  1. CHE (A)
  2. SUN (H)
  3. MUN (A)
  4. LEE (H)
  5. IPS (A)
57 Alex Iwobi 11.3
MID vs FUL · 5.4m 92%
Value
2.09
Pts
3.3
xGI
0.36
Own
0.7%
Mins
408
  1. IPS (A)
  2. HUL (H)
  3. COV (A)
  4. AVL (A)
  5. NEW (H)
58 Emiliano Buendía Stati 11.3
MID vs AVL · 5.9m 92%
Value
1.91
Pts
3.4
xGI
0.26
Own
1.0%
Mins
401
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
59 Caoimhín Kelleher 11.2
GKP vs BRE · 5.0m 92%
Value
2.25
Pts
3.3
xGI
0.00
Own
6.1%
Mins
450
  1. AVL (A)
  2. LIV (H)
  3. HUL (A)
  4. NFO (H)
  5. BHA (A)
60 Maxim De Cuyper 11.2
DEF vs BHA · 5.0m 92%
Value
2.25
Pts
3.1
xGI
0.47
Own
28%
Mins
423
  1. SUN (A)
  2. CRY (H)
  3. LIV (A)
  4. MCI (A)
  5. BRE (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.

Mind if we count your visit?

We use Google Analytics only to see how many people visit and which pages they read. It loads after you allow it — no ads, no tracking across other sites. What we collect