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%

4.22

Value

every bar on one axis of 0 to 5.0

That is 16.9 projected points over the rounds ahead, weighted so the round in front of him counts for most.

Gameweek 6 · 8-round window · feed of 01/10 11:39

Bobby Thomas is the best value on the board: 4.22 points per million, from 16.9 over 8 rounds at 4.0m.

Price

4.0m

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

Ahead

16.9

His weighted score over the next 8 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
    20.6 Ahead
    Value
    1.32
    Price
    15.6m
    Own
    74%
    2.8
    1. LIV (A)
    2. IPS (H)
    3. AVL (A)
    4. BHA (H)
    5. NFO (A)
    6. FUL (H)
    7. ARS (A)
    8. LEE (H)
  2. Ranked 2 Bukayo Saka
    MID ARS vs
    18.2 Ahead
    Value
    1.91
    Price
    9.5m
    Own
    14%
    2.4
    1. LEE (H)
    2. NFO (A)
    3. EVE (H)
    4. LIV (A)
    5. HUL (H)
    6. NEW (A)
    7. MCI (H)
    8. BRE (A)
  3. Ranked 3 Bruno Fernandes
    MID MUN vs
    17.5 Ahead
    Value
    1.47
    Price
    11.9m
    Own
    39%
    2.4
    1. TOT (H)
    2. LEE (A)
    3. BOU (H)
    4. CHE (A)
    5. AVL (H)
    6. LIV (A)
    7. BRE (H)
    8. NEW (A)
  4. Ranked 4 Bryan Mbeumo
    MID MUN vs
    17.4 Ahead
    Value
    2.20
    Price
    7.9m
    Own
    21%
    2.4
    1. TOT (H)
    2. LEE (A)
    3. BOU (H)
    4. CHE (A)
    5. AVL (H)
    6. LIV (A)
    7. BRE (H)
    8. NEW (A)
  5. Ranked 5 Thierno Barry
    FWD EVE vs
    17.0 Ahead
    Value
    2.99
    Price
    5.7m
    Own
    8.3%
    3.0
    1. HUL (A)
    2. CHE (H)
    3. ARS (A)
    4. !
    5. COV (H)
    6. BRE (A)
    7. LIV (H)
    8. AVL (A)
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 162 players 162 of 487 match your filters Clear filters
1 Erling Haaland 20.6
FWD vs MCI · 15.6m 92%
Value
1.32
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)
  6. FUL (H)
  7. ARS (A)
  8. LEE (H)
2 Bukayo Saka 18.2
MID vs ARS · 9.5m 92%
Value
1.91
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)
  6. NEW (A)
  7. MCI (H)
  8. BRE (A)
3 Bruno Fernandes 17.5
MID vs MUN · 11.9m 92%
Value
1.47
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)
  6. LIV (A)
  7. BRE (H)
  8. NEW (A)
4 Bryan Mbeumo 17.4
MID vs MUN · 7.9m 92%
Value
2.20
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)
  6. LIV (A)
  7. BRE (H)
  8. NEW (A)
5 Thierno Barry 17.0
FWD vs EVE · 5.7m 92%
Value
2.99
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. BRE (A)
  7. LIV (H)
  8. AVL (A)
6 Alex Scott 17.0
MID vs BOU · 6.1m 92%
Value
2.79
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)
  6. NFO (H)
  7. FUL (A)
  8. BHA (H)
7 Bobby Thomas 16.9
DEF vs COV · 4.0m 92%
Value
4.22
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)
  6. CRY (H)
  7. LEE (A)
  8. IPS (H)
8 Anton Stach 16.7
MID vs LEE · 6.0m 92%
Value
2.79
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)
  6. CHE (A)
  7. COV (H)
  8. MCI (A)
9 Marcus Tavernier 16.7
MID vs BOU · 6.1m 92%
Value
2.74
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)
  6. NFO (H)
  7. FUL (A)
  8. BHA (H)
10 Gabriel Magalhães 16.6
DEF vs ARS · 8.0m 92%
Value
2.08
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)
  6. NEW (A)
  7. MCI (H)
  8. BRE (A)
11 Pascal Groß 16.5
MID vs BHA · 5.8m 92%
Value
2.85
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)
  6. HUL (A)
  7. NEW (H)
  8. BOU (A)
12 António Silva 16.5
DEF vs BOU · 5.0m 92%
Value
3.29
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)
  6. NFO (H)
  7. FUL (A)
  8. BHA (H)
13 Vitaly Janelt 16.5
MID vs BRE · 5.0m 92%
Value
3.29
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)
  6. EVE (H)
  7. MUN (A)
  8. ARS (H)
14 Gonzalo García 16.4
FWD vs FUL · 6.0m 92%
Value
2.73
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)
  6. MCI (A)
  7. BOU (H)
  8. TOT (A)
15 David Raya Martín 16.3
GKP vs ARS · 6.1m 92%
Value
2.67
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)
  6. NEW (A)
  7. MCI (H)
  8. BRE (A)
16 Igor Thiago 16.2
FWD vs BRE · 7.8m 92%
Value
2.07
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)
  6. EVE (H)
  7. MUN (A)
  8. ARS (H)
17 James Tarkowski 16.2
DEF vs EVE · 6.2m 92%
Value
2.61
Pts
3.9
xGI
0.05
Own
17%
Mins
450
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
  6. BRE (A)
  7. LIV (H)
  8. AVL (A)
18 Granit Xhaka 16.1
MID vs SUN · 5.5m 92%
Value
2.93
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)
  6. AVL (A)
  7. TOT (H)
  8. LIV (A)
19 Morgan Gibbs-White 16.1
MID vs NFO · 8.0m 92%
Value
2.01
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)
  6. BOU (A)
  7. CHE (H)
  8. HUL (A)
20 Enzo Le Fée 16.0
MID vs SUN · 5.7m 92%
Value
2.81
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)
  6. AVL (A)
  7. TOT (H)
  8. LIV (A)
21 John Egan 15.9
DEF vs HUL · 4.1m 92%
Value
3.87
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)
  6. BHA (H)
  7. CRY (A)
  8. NFO (H)
22 Dominic Calvert-Lewin 15.8
FWD vs LEE · 6.0m 92%
Value
2.64
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)
  6. CHE (A)
  7. COV (H)
  8. MCI (A)
23 Yoane Wissa 15.8
FWD vs NEW · 6.2m 92%
Value
2.55
Pts
3.7
xGI
0.49
Own
19%
Mins
441
  1. COV (A)
  2. AVL (H)
  3. CRY (A)
  4. !
  5. FUL (A)
  6. ARS (H)
  7. BHA (A)
  8. MUN (H)
24 Riccardo Calafiori 15.8
DEF vs ARS · 5.8m 92%
Value
2.72
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)
  6. NEW (A)
  7. MCI (H)
  8. BRE (A)
25 James Trafford 15.7
GKP vs LEE · 5.0m 92%
Value
3.14
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)
  6. CHE (A)
  7. COV (H)
  8. MCI (A)
26 Kevin Schade 15.7
MID vs BRE · 6.2m 92%
Value
2.53
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)
  6. EVE (H)
  7. MUN (A)
  8. ARS (H)
27 Martin Ødegaard 15.6
MID vs ARS · 6.8m 92%
Value
2.30
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)
  6. NEW (A)
  7. MCI (H)
  8. BRE (A)
28 Tarik Muharemović 15.6
DEF vs LEE · 5.0m 92%
Value
3.11
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)
  6. CHE (A)
  7. COV (H)
  8. MCI (A)
29 Konstantinos Tzolakis 15.4
GKP vs HUL · 4.7m 92%
Value
3.28
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)
  6. BHA (H)
  7. CRY (A)
  8. NFO (H)
30 Morgan Rogers 15.3
MID vs CHE · 7.7m 92%
Value
1.98
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)
  6. LEE (H)
  7. NFO (A)
  8. CRY (H)
31 Murillo 15.2
DEF vs NFO · 5.5m 92%
Value
2.76
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)
  6. BOU (A)
  7. CHE (H)
  8. HUL (A)
32 Senne Lammens 15.1
GKP vs MUN · 4.9m 92%
Value
3.07
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)
  6. LIV (A)
  7. BRE (H)
  8. NEW (A)
33 Alisson Becker 15.0
GKP vs LIV · 5.5m 92%
Value
2.73
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)
  6. MUN (H)
  7. EVE (A)
  8. SUN (H)
34 Josh King 14.9
MID vs FUL · 5.5m 92%
Value
2.71
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)
  6. MCI (A)
  7. BOU (H)
  8. TOT (A)
35 Chris Richards 14.9
DEF vs CRY · 4.9m 92%
Value
3.04
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)
  6. COV (A)
  7. HUL (H)
  8. CHE (A)
36 Dominik Szoboszlai 14.8
MID vs LIV · 7.0m 92%
Value
2.12
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)
  6. MUN (H)
  7. EVE (A)
  8. SUN (H)
37 Kiernan Dewsbury-Hall 14.8
MID vs EVE · 6.6m 92%
Value
2.25
Pts
3.5
xGI
0.37
Own
6.0%
Mins
450
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
  6. BRE (A)
  7. LIV (H)
  8. AVL (A)
38 Jarrad Branthwaite 14.8
DEF vs EVE · 5.5m 92%
Value
2.70
Pts
3.6
xGI
0.03
Own
2.4%
Mins
450
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
  6. BRE (A)
  7. LIV (H)
  8. AVL (A)
39 Lewis Hall 14.8
DEF vs NEW · 5.3m 92%
Value
2.80
Pts
3.6
xGI
0.21
Own
17%
Mins
449
  1. COV (A)
  2. AVL (H)
  3. CRY (A)
  4. !
  5. FUL (A)
  6. ARS (H)
  7. BHA (A)
  8. MUN (H)
40 Ethan Ampadu 14.8
MID vs LEE · 5.4m 92%
Value
2.74
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)
  6. CHE (A)
  7. COV (H)
  8. MCI (A)
41 James Hill 14.6
DEF vs BOU · 5.5m 92%
Value
2.66
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)
  6. NFO (H)
  7. FUL (A)
  8. BHA (H)
42 Oli McBurnie 14.5
FWD vs HUL · 5.5m 92%
Value
2.64
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)
  6. BHA (H)
  7. CRY (A)
  8. NFO (H)
43 Sven Botman 14.5
DEF vs NEW · 5.0m 92%
Value
2.89
Pts
3.5
xGI
0.04
Own
0.7%
Mins
450
  1. COV (A)
  2. AVL (H)
  3. CRY (A)
  4. !
  5. FUL (A)
  6. ARS (H)
  7. BHA (A)
  8. MUN (H)
44 Matheus Cunha 14.4
MID vs MUN · 7.9m 92%
Value
1.82
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)
  6. LIV (A)
  7. BRE (H)
  8. NEW (A)
45 Marc Guéhi 14.4
DEF vs MCI · 6.0m 92%
Value
2.39
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)
  6. FUL (H)
  7. ARS (A)
  8. LEE (H)
46 Evanilson 14.3
FWD vs BOU · 6.0m 92%
Value
2.39
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)
  6. NFO (H)
  7. FUL (A)
  8. BHA (H)
47 Bernd Leno 14.3
GKP vs FUL · 4.5m 92%
Value
3.18
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)
  6. MCI (A)
  7. BOU (H)
  8. TOT (A)
48 Emersonn 14.3
FWD vs IPS · 5.5m 92%
Value
2.60
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)
  6. TOT (A)
  7. AVL (H)
  8. COV (A)
49 Gianluigi Donnarumma 14.3
GKP vs MCI · 5.5m 92%
Value
2.59
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)
  6. FUL (H)
  7. ARS (A)
  8. LEE (H)
50 Virgil van Dijk 14.3
DEF vs LIV · 6.5m 92%
Value
2.19
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)
  6. MUN (H)
  7. EVE (A)
  8. SUN (H)
51 Kristoffer Ajer 14.2
DEF vs BRE · 4.5m 92%
Value
3.15
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)
  6. EVE (H)
  7. MUN (A)
  8. ARS (H)
52 James Justin 14.2
DEF vs LEE · 4.5m 92%
Value
3.15
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)
  6. CHE (A)
  7. COV (H)
  8. MCI (A)
53 Elliot Anderson 14.1
MID vs MCI · 6.3m 92%
Value
2.24
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)
  6. FUL (H)
  7. ARS (A)
  8. LEE (H)
54 Adrien Truffert 14.1
DEF vs BOU · 5.4m 92%
Value
2.61
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)
  6. NFO (H)
  7. FUL (A)
  8. BHA (H)
55 Maxim De Cuyper 14.1
DEF vs BHA · 5.0m 92%
Value
2.82
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)
  6. HUL (A)
  7. NEW (H)
  8. BOU (A)
56 Youri Tielemans 14.0
MID vs MUN · 5.8m 92%
Value
2.42
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)
  6. LIV (A)
  7. BRE (H)
  8. NEW (A)
57 Luka Vušković 14.0
DEF vs BHA · 5.0m 92%
Value
2.80
Pts
3.1
xGI
0.10
Own
3.7%
Mins
437
  1. SUN (A)
  2. CRY (H)
  3. LIV (A)
  4. MCI (A)
  5. BRE (H)
  6. HUL (A)
  7. NEW (H)
  8. BOU (A)
58 Emiliano Buendía Stati 14.0
MID vs AVL · 5.9m 92%
Value
2.37
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)
  6. SUN (H)
  7. IPS (A)
  8. EVE (H)
59 Caoimhín Kelleher 13.9
GKP vs BRE · 5.0m 92%
Value
2.78
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)
  6. EVE (H)
  7. MUN (A)
  8. ARS (H)
60 Alex Iwobi 13.8
MID vs FUL · 5.4m 92%
Value
2.56
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)
  6. MCI (A)
  7. BOU (H)
  8. TOT (A)
each row's Ahead, drawn to scale every bar on one axis of 0 to 25

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 8 weights sum to 4.16, 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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