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

Vitaly Janelt

MID · BRE · 5.0m · owned by 2.5%

2.67

Value

every bar on one axis of 0 to 5.0

That is 13.3 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

Vitaly Janelt is the best value on the board: 2.67 points per million, from 13.3 over 5 rounds at 5.0m.

Price

5.0m

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

Ahead

13.3

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

Own

2.5%

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 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)
  2. Ranked 2 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)
  3. Ranked 3 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)
  4. Ranked 4 Alex Scott
    MID BOU vs
    13.7 Ahead
    Value
    2.24
    Price
    6.1m
    Own
    5.8%
    3.0
    1. CHE (A)
    2. SUN (H)
    3. MUN (A)
    4. LEE (H)
    5. IPS (A)
  5. Ranked 5 Anton Stach
    MID LEE vs
    13.4 Ahead
    Value
    2.24
    Price
    6.0m
    Own
    2.5%
    3.6
    1. ARS (A)
    2. MUN (H)
    3. SUN (A)
    4. BOU (A)
    5. TOT (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 68 players 68 of 487 match your filters Clear filters
1 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)
2 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)
3 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)
4 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)
5 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)
6 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)
7 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)
8 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)
9 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)
10 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)
11 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)
12 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)
13 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)
14 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)
15 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)
16 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)
17 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)
18 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)
19 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)
20 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)
21 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)
22 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)
23 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)
24 Harvey Barnes 11.2
MID vs NEW · 6.1m 92%
Value
1.84
Pts
3.3
xGI
0.22
Own
5.7%
Mins
450
  1. COV (A)
  2. AVL (H)
  3. CRY (A)
  4. !
  5. FUL (A)
25 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)
26 Diego Gómez 11.0
MID vs BHA · 5.0m 92%
Value
2.20
Pts
3.2
xGI
0.32
Own
4.0%
Mins
433
  1. SUN (A)
  2. CRY (H)
  3. LIV (A)
  4. MCI (A)
  5. BRE (H)
27 Keane Lewis-Potter 11.0
MID vs BRE · 5.5m 92%
Value
2.00
Pts
3.3
xGI
0.45
Own
1.7%
Mins
406
  1. AVL (A)
  2. LIV (H)
  3. HUL (A)
  4. NFO (H)
  5. BHA (A)
28 Rayan 10.7
MID vs BOU · 6.3m 92%
Value
1.70
Pts
3.1
xGI
0.27
Own
1.6%
Mins
434
  1. CHE (A)
  2. SUN (H)
  3. MUN (A)
  4. LEE (H)
  5. IPS (A)
29 Sandro Tonali 10.7
MID vs TOT · 5.3m 92%
Value
2.02
Pts
3.0
xGI
0.18
Own
1.8%
Mins
427
  1. MUN (A)
  2. COV (H)
  3. CHE (A)
  4. CRY (H)
  5. LEE (A)
30 Florian Wirtz 10.6
MID vs LIV · 7.3m 92%
Value
1.46
Pts
3.2
xGI
0.31
Own
5.7%
Mins
402
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
31 Mohamed Belloumi 10.6
MID vs HUL · 5.1m 92%
Value
2.08
Pts
3.3
xGI
0.26
Own
5.1%
Mins
394
  1. EVE (H)
  2. FUL (A)
  3. BRE (H)
  4. IPS (H)
  5. ARS (A)
32 Adam Wharton 10.6
MID vs CRY · 5.4m 92%
Value
1.96
Pts
3.2
xGI
0.15
Own
0.7%
Mins
436
  1. NFO (H)
  2. BHA (A)
  3. NEW (H)
  4. TOT (A)
  5. LIV (H)
33 Quinten Timber 10.6
MID vs CRY · 5.0m 88%
Value
2.12
Pts
3.2
xGI
0.11
Own
0.0%
Mins
253
  1. NFO (H)
  2. BHA (A)
  3. NEW (H)
  4. TOT (A)
  5. LIV (H)
34 Daichi Kamada 10.6
MID vs CRY · 5.0m 92%
Value
2.12
Pts
3.2
xGI
0.18
Own
0.5%
Mins
441
  1. NFO (H)
  2. BHA (A)
  3. NEW (H)
  4. TOT (A)
  5. LIV (H)
35 John McGinn 10.6
MID vs AVL · 5.4m 92%
Value
1.96
Pts
3.2
xGI
0.21
Own
2.2%
Mins
434
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
36 Lewis Miley 10.6
MID vs NEW · 5.5m 92%
Value
1.92
Pts
3.1
xGI
0.04
Own
0.1%
Mins
396
  1. COV (A)
  2. AVL (H)
  3. CRY (A)
  4. !
  5. FUL (A)
37 Matt Grimes 10.5
MID vs COV · 4.9m 92%
Value
2.15
Pts
3.3
xGI
0.05
Own
0.1%
Mins
443
  1. NEW (H)
  2. TOT (A)
  3. FUL (H)
  4. SUN (H)
  5. EVE (A)
38 Oscar Bobb 10.5
MID vs FUL · 5.5m 92%
Value
1.91
Pts
3.0
xGI
0.44
Own
0.3%
Mins
343
  1. IPS (A)
  2. HUL (H)
  3. COV (A)
  4. AVL (A)
  5. NEW (H)
39 Regan Slater 10.3
MID vs HUL · 4.5m 92%
Value
2.29
Pts
3.2
xGI
0.16
Own
5.2%
Mins
437
  1. EVE (H)
  2. FUL (A)
  3. BRE (H)
  4. IPS (H)
  5. ARS (A)
40 Boubacar Kamara 10.3
MID vs AVL · 5.0m 92%
Value
2.05
Pts
3.1
xGI
0.05
Own
0.3%
Mins
443
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
41 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)
42 Noah Sadiki 10.2
MID vs SUN · 4.9m 92%
Value
2.08
Pts
3.1
xGI
0.15
Own
0.2%
Mins
410
  1. BHA (H)
  2. BOU (A)
  3. LEE (H)
  4. COV (A)
  5. CHE (H)
43 Harrison Armstrong 10.0
MID vs EVE · 5.0m 92%
Value
2.00
Pts
3.0
xGI
0.14
Own
0.4%
Mins
446
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
44 Rodrigo Bentancur 9.6
MID vs TOT · 5.5m 75%
Value
1.75
Pts
2.7
xGI
0.03
Own
0.2%
Mins
370
  1. MUN (A)
  2. COV (H)
  3. CHE (A)
  4. CRY (H)
  5. LEE (A)
45 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)
46 Jack Rudoni 9.5
MID vs COV · 4.9m 75%
Value
1.94
Pts
3.1
xGI
0.62
Own
0.1%
Mins
297
  1. NEW (H)
  2. TOT (A)
  3. FUL (H)
  4. SUN (H)
  5. EVE (A)
47 Iliman Ndiaye 9.4
MID vs MCI · 5.8m 75%
Value
1.62
Pts
2.6
xGI
0.23
Own
6.7%
Mins
385
  1. LIV (A)
  2. IPS (H)
  3. AVL (A)
  4. BHA (H)
  5. NFO (A)
48 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)
49 Christos Tzolis 9.2
MID vs ARS · 6.3m 92%
Value
1.46
Pts
2.8
xGI
0.19
Own
12%
Mins
362
  1. LEE (H)
  2. NFO (A)
  3. EVE (H)
  4. LIV (A)
  5. HUL (H)
50 Pedro Neto 9.0
MID vs CHE · 6.5m 75%
Value
1.38
Pts
2.7
xGI
0.34
Own
1.4%
Mins
332
  1. BOU (H)
  2. EVE (A)
  3. TOT (H)
  4. MUN (H)
  5. SUN (A)
51 Rayan Cherki 8.9
MID vs MCI · 7.8m 75%
Value
1.15
Pts
2.5
xGI
0.67
Own
28%
Mins
302
  1. LIV (A)
  2. IPS (H)
  3. AVL (A)
  4. BHA (H)
  5. NFO (A)
52 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)
53 Exequiel Palacios 8.9
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)
54 Tyrique George 8.7
MID vs EVE · 5.5m 75%
Value
1.59
Pts
2.6
xGI
0.19
Own
0.9%
Mins
309
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
55 Mamadou Sangaré 8.7
MID vs BRE · 5.6m 75%
Value
1.55
Pts
2.6
xGI
0.29
Own
9.9%
Mins
321
  1. AVL (A)
  2. LIV (H)
  3. HUL (A)
  4. NFO (H)
  5. BHA (A)
56 Yasin Ayari 8.6
MID vs BHA · 5.4m 75%
Value
1.60
Pts
2.5
xGI
0.24
Own
0.4%
Mins
333
  1. SUN (A)
  2. CRY (H)
  3. LIV (A)
  4. MCI (A)
  5. BRE (H)
57 Ross Barkley 8.6
MID vs AVL · 5.0m 75%
Value
1.71
Pts
2.6
xGI
0.15
Own
0.3%
Mins
308
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
58 James Garner 8.5
MID vs EVE · 6.0m 75%
Value
1.42
Pts
2.5
xGI
0.10
Own
0.2%
Mins
328
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
  4. !
  5. COV (H)
59 Sander Berge 8.5
MID vs FUL · 4.9m 75%
Value
1.73
Pts
2.5
xGI
0.11
Own
0.3%
Mins
349
  1. IPS (A)
  2. HUL (H)
  3. COV (A)
  4. AVL (A)
  5. NEW (H)
60 Frank Onyeka 8.5
MID vs COV · 4.9m 75%
Value
1.73
Pts
2.7
xGI
0.02
Own
0.1%
Mins
314
  1. NEW (H)
  2. TOT (A)
  3. FUL (H)
  4. SUN (H)
  5. EVE (A)
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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