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%

1.93

Value

every bar on one axis of 0 to 2.0

That is 9.7 projected points over the rounds ahead, weighted so the round in front of him counts for most.

Gameweek 6 · 3-round window · feed of 01/10 11:39

Vitaly Janelt is the best value on the board: 1.93 points per million, from 9.7 over 3 rounds at 5.0m.

Price

5.0m

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

Ahead

9.7

His weighted score over the next 3 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
    10.8 Ahead
    Value
    1.14
    Price
    9.5m
    Own
    14%
    2.3
    1. LEE (H)
    2. NFO (A)
    3. EVE (H)
  2. Ranked 2 Bruno Fernandes
    MID MUN vs
    10.3 Ahead
    Value
    0.87
    Price
    11.9m
    Own
    39%
    2.3
    1. TOT (H)
    2. LEE (A)
    3. BOU (H)
  3. Ranked 3 Bryan Mbeumo
    MID MUN vs
    10.2 Ahead
    Value
    1.29
    Price
    7.9m
    Own
    21%
    2.3
    1. TOT (H)
    2. LEE (A)
    3. BOU (H)
  4. Ranked 4 Alex Scott
    MID BOU vs
    9.8 Ahead
    Value
    1.61
    Price
    6.1m
    Own
    5.8%
    3.3
    1. CHE (A)
    2. SUN (H)
    3. MUN (A)
  5. Ranked 5 Vitaly Janelt
    MID BRE vs
    9.7 Ahead
    Value
    1.93
    Price
    5.0m
    Own
    2.5%
    3.0
    1. AVL (A)
    2. LIV (H)
    3. HUL (A)
Position
Minutes played
Rounds ahead
Price
1 Bukayo Saka 10.8
MID vs ARS · 9.5m 92%
Value
1.14
Pts
4.6
xGI
0.91
Own
14%
Mins
416
  1. LEE (H)
  2. NFO (A)
  3. EVE (H)
MID vs MUN · 11.9m 92%
Value
0.87
Pts
4.4
xGI
0.77
Own
39%
Mins
450
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
3 Bryan Mbeumo 10.2
MID vs MUN · 7.9m 92%
Value
1.29
Pts
4.4
xGI
0.77
Own
21%
Mins
450
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
4 Alex Scott 9.8
MID vs BOU · 6.1m 92%
Value
1.61
Pts
4.0
xGI
0.21
Own
5.8%
Mins
446
  1. CHE (A)
  2. SUN (H)
  3. MUN (A)
MID vs BRE · 5.0m 92%
Value
1.93
Pts
4.0
xGI
0.20
Own
2.5%
Mins
450
  1. AVL (A)
  2. LIV (H)
  3. HUL (A)
6 Pascal Groß 9.6
MID vs BHA · 5.8m 92%
Value
1.66
Pts
3.8
xGI
0.52
Own
29%
Mins
450
  1. SUN (A)
  2. CRY (H)
  3. LIV (A)
7 Anton Stach 9.6
MID vs LEE · 6.0m 92%
Value
1.60
Pts
3.7
xGI
0.26
Own
2.5%
Mins
447
  1. ARS (A)
  2. MUN (H)
  3. SUN (A)
MID vs BOU · 6.1m 92%
Value
1.57
Pts
3.9
xGI
0.56
Own
6.8%
Mins
424
  1. CHE (A)
  2. SUN (H)
  3. MUN (A)
9 Granit Xhaka 9.5
MID vs SUN · 5.5m 92%
Value
1.72
Pts
4.0
xGI
0.27
Own
3.6%
Mins
450
  1. BHA (H)
  2. BOU (A)
  3. LEE (H)
10 Enzo Le Fée 9.4
MID vs SUN · 5.7m 92%
Value
1.65
Pts
4.0
xGI
0.70
Own
3.4%
Mins
438
  1. BHA (H)
  2. BOU (A)
  3. LEE (H)
MID vs NFO · 8.0m 92%
Value
1.17
Pts
3.9
xGI
0.59
Own
16%
Mins
450
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
MID vs ARS · 6.8m 92%
Value
1.36
Pts
3.9
xGI
0.58
Own
20%
Mins
377
  1. LEE (H)
  2. NFO (A)
  3. EVE (H)
13 Kevin Schade 9.2
MID vs BRE · 6.2m 92%
Value
1.49
Pts
3.8
xGI
0.37
Own
12%
Mins
447
  1. AVL (A)
  2. LIV (H)
  3. HUL (A)
14 Morgan Rogers 9.0
MID vs CHE · 7.7m 92%
Value
1.17
Pts
3.7
xGI
0.60
Own
41%
Mins
437
  1. BOU (H)
  2. EVE (A)
  3. TOT (H)
MID vs LIV · 7.0m 92%
Value
1.26
Pts
3.7
xGI
0.46
Own
33%
Mins
440
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
16 Josh King 8.7
MID vs FUL · 5.5m 92%
Value
1.58
Pts
3.5
xGI
0.43
Own
2.6%
Mins
425
  1. IPS (A)
  2. HUL (H)
  3. COV (A)
MID vs EVE · 6.6m 92%
Value
1.30
Pts
3.5
xGI
0.37
Own
6.0%
Mins
450
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
18 Ethan Ampadu 8.5
MID vs LEE · 5.4m 92%
Value
1.58
Pts
3.4
xGI
0.07
Own
0.9%
Mins
450
  1. ARS (A)
  2. MUN (H)
  3. SUN (A)
19 Matheus Cunha 8.5
MID vs MUN · 7.9m 92%
Value
1.07
Pts
3.6
xGI
0.32
Own
5.8%
Mins
407
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
MID vs MCI · 6.3m 92%
Value
1.31
Pts
3.2
xGI
0.17
Own
4.0%
Mins
413
  1. LIV (A)
  2. IPS (H)
  3. AVL (A)
MID vs AVL · 5.9m 92%
Value
1.40
Pts
3.4
xGI
0.26
Own
1.0%
Mins
401
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
MID vs MUN · 5.8m 92%
Value
1.42
Pts
3.5
xGI
0.27
Own
1.5%
Mins
402
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
23 Harvey Barnes 8.3
MID vs NEW · 6.1m 92%
Value
1.35
Pts
3.3
xGI
0.22
Own
5.7%
Mins
450
  1. COV (A)
  2. AVL (H)
  3. CRY (A)
24 Julio Enciso 8.2
MID vs IPS · 5.5m 92%
Value
1.48
Pts
3.5
xGI
0.46
Own
0.8%
Mins
413
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
25 Alex Iwobi 8.1
MID vs FUL · 5.4m 92%
Value
1.50
Pts
3.3
xGI
0.36
Own
0.7%
Mins
408
  1. IPS (A)
  2. HUL (H)
  3. COV (A)
26 Diego Gómez 8.0
MID vs BHA · 5.0m 92%
Value
1.60
Pts
3.2
xGI
0.32
Own
4.0%
Mins
433
  1. SUN (A)
  2. CRY (H)
  3. LIV (A)
MID vs BRE · 5.5m 92%
Value
1.45
Pts
3.3
xGI
0.45
Own
1.7%
Mins
406
  1. AVL (A)
  2. LIV (H)
  3. HUL (A)
28 Florian Wirtz 7.8
MID vs LIV · 7.3m 92%
Value
1.07
Pts
3.2
xGI
0.31
Own
5.7%
Mins
402
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
MID vs HUL · 5.1m 92%
Value
1.53
Pts
3.3
xGI
0.26
Own
5.1%
Mins
394
  1. EVE (H)
  2. FUL (A)
  3. BRE (H)
30 Adam Wharton 7.8
MID vs CRY · 5.4m 92%
Value
1.44
Pts
3.2
xGI
0.15
Own
0.7%
Mins
436
  1. NFO (H)
  2. BHA (A)
  3. NEW (H)
31 Daichi Kamada 7.8
MID vs CRY · 5.0m 92%
Value
1.55
Pts
3.2
xGI
0.18
Own
0.5%
Mins
441
  1. NFO (H)
  2. BHA (A)
  3. NEW (H)
32 John McGinn 7.8
MID vs AVL · 5.4m 92%
Value
1.44
Pts
3.2
xGI
0.21
Own
2.2%
Mins
434
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
33 Lewis Miley 7.8
MID vs NEW · 5.5m 92%
Value
1.41
Pts
3.1
xGI
0.04
Own
0.1%
Mins
396
  1. COV (A)
  2. AVL (H)
  3. CRY (A)
34 Matt Grimes 7.7
MID vs COV · 4.9m 92%
Value
1.58
Pts
3.3
xGI
0.05
Own
0.1%
Mins
443
  1. NEW (H)
  2. TOT (A)
  3. FUL (H)
35 Sandro Tonali 7.7
MID vs TOT · 5.3m 92%
Value
1.45
Pts
3.0
xGI
0.18
Own
1.8%
Mins
427
  1. MUN (A)
  2. COV (H)
  3. CHE (A)
36 Rayan 7.7
MID vs BOU · 6.3m 92%
Value
1.22
Pts
3.1
xGI
0.27
Own
1.6%
Mins
434
  1. CHE (A)
  2. SUN (H)
  3. MUN (A)
37 Regan Slater 7.6
MID vs HUL · 4.5m 92%
Value
1.68
Pts
3.2
xGI
0.16
Own
5.2%
Mins
437
  1. EVE (H)
  2. FUL (A)
  3. BRE (H)
38 Oscar Bobb 7.5
MID vs FUL · 5.5m 92%
Value
1.37
Pts
3.0
xGI
0.44
Own
0.3%
Mins
343
  1. IPS (A)
  2. HUL (H)
  3. COV (A)
MID vs AVL · 5.0m 92%
Value
1.50
Pts
3.1
xGI
0.05
Own
0.3%
Mins
443
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
40 James McAtee 7.4
MID vs NFO · 5.5m 92%
Value
1.34
Pts
3.1
xGI
0.29
Own
0.1%
Mins
416
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
41 Noah Sadiki 7.4
MID vs SUN · 4.9m 92%
Value
1.50
Pts
3.1
xGI
0.15
Own
0.2%
Mins
410
  1. BHA (H)
  2. BOU (A)
  3. LEE (H)
MID vs EVE · 5.0m 92%
Value
1.45
Pts
3.0
xGI
0.14
Own
0.4%
Mins
446
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
43 Jack Rudoni 7.0
MID vs COV · 4.9m 75%
Value
1.43
Pts
3.1
xGI
0.62
Own
0.1%
Mins
297
  1. NEW (H)
  2. TOT (A)
  3. FUL (H)
44 Saša Lukić 7.0
MID vs IPS · 4.9m 92%
Value
1.43
Pts
3.0
xGI
0.09
Own
0.1%
Mins
400
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
MID vs TOT · 5.5m 75%
Value
1.26
Pts
2.7
xGI
0.03
Own
0.2%
Mins
370
  1. MUN (A)
  2. COV (H)
  3. CHE (A)
46 Iliman Ndiaye 6.8
MID vs MCI · 5.8m 75%
Value
1.18
Pts
2.6
xGI
0.23
Own
6.7%
Mins
385
  1. LIV (A)
  2. IPS (H)
  3. AVL (A)
MID vs ARS · 6.3m 92%
Value
1.07
Pts
2.8
xGI
0.19
Own
12%
Mins
362
  1. LEE (H)
  2. NFO (A)
  3. EVE (H)
48 Cole Palmer ! 6.7
MID vs CHE · 9.7m 69%
Value
0.69
Pts
2.8
xGI
0.43
Own
26%
Mins
442
  1. BOU (H)
  2. EVE (A)
  3. TOT (H)
MID vs NFO · 5.0m 75%
Value
1.34
Pts
2.8
xGI
0.09
Own
0.1%
Mins
376
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
50 Pedro Neto 6.6
MID vs CHE · 6.5m 75%
Value
1.02
Pts
2.7
xGI
0.34
Own
1.4%
Mins
332
  1. BOU (H)
  2. EVE (A)
  3. TOT (H)
51 Rayan Cherki 6.5
MID vs MCI · 7.8m 75%
Value
0.83
Pts
2.5
xGI
0.67
Own
28%
Mins
302
  1. LIV (A)
  2. IPS (H)
  3. AVL (A)
MID vs IPS · 5.0m 70%
Value
1.30
Pts
2.7
xGI
0.03
Own
0.1%
Mins
275
  1. FUL (H)
  2. MCI (A)
  3. NFO (H)
53 Dan Ndoye 6.4
MID vs NFO · 5.5m 92%
Value
1.17
Pts
2.7
xGI
0.62
Own
0.7%
Mins
316
  1. CRY (A)
  2. ARS (H)
  3. IPS (A)
MID vs EVE · 5.5m 75%
Value
1.15
Pts
2.6
xGI
0.19
Own
0.9%
Mins
309
  1. HUL (A)
  2. CHE (H)
  3. ARS (A)
MID vs BRE · 5.6m 75%
Value
1.13
Pts
2.6
xGI
0.29
Own
9.9%
Mins
321
  1. AVL (A)
  2. LIV (H)
  3. HUL (A)
56 Ross Barkley 6.3
MID vs AVL · 5.0m 75%
Value
1.25
Pts
2.6
xGI
0.15
Own
0.3%
Mins
308
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
57 Yasin Ayari 6.3
MID vs BHA · 5.4m 75%
Value
1.16
Pts
2.5
xGI
0.24
Own
0.4%
Mins
333
  1. SUN (A)
  2. CRY (H)
  3. LIV (A)
58 Antoine Semenyo ! 6.2
MID vs MCI · 8.4m 69%
Value
0.74
Pts
2.4
xGI
0.30
Own
15%
Mins
450
  1. LIV (A)
  2. IPS (H)
  3. AVL (A)
59 Frank Onyeka 6.2
MID vs COV · 4.9m 75%
Value
1.27
Pts
2.7
xGI
0.02
Own
0.1%
Mins
314
  1. NEW (H)
  2. TOT (A)
  3. FUL (H)
60 James Garner 6.1
MID vs EVE · 6.0m 75%
Value
1.02
Pts
2.5
xGI
0.10
Own
0.2%
Mins
328
  1. HUL (A)
  2. CHE (H)
  3. ARS (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 3 weights sum to 2.44, 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.