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

Alisson Becker

GKP · LIV · 5.5m · owned by 4.1%

2.21

Value

every bar on one axis of 0 to 2.5

That is 12.1 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

Alisson Becker is the best value on the board: 2.21 points per million, from 12.1 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

12.1

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

Own

4.1%

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 Alisson Becker
    GKP LIV vs
    12.1 Ahead
    Value
    2.21
    Price
    5.5m
    Own
    4.1%
    3.0
    1. MCI (H)
    2. BRE (A)
    3. BHA (H)
    4. ARS (H)
    5. CRY (A)
  2. Ranked 2 Dominik Szoboszlai
    MID LIV vs
    12.0 Ahead
    Value
    1.71
    Price
    7.0m
    Own
    33%
    3.0
    1. MCI (H)
    2. BRE (A)
    3. BHA (H)
    4. ARS (H)
    5. CRY (A)
  3. Ranked 3 Virgil van Dijk
    DEF LIV vs
    11.5 Ahead
    Value
    1.77
    Price
    6.5m
    Own
    16%
    3.0
    1. MCI (H)
    2. BRE (A)
    3. BHA (H)
    4. ARS (H)
    5. CRY (A)
  4. Ranked 4 Alexander Isak !
    FWD LIV vs
    11.4 Ahead
    Value
    1.25
    Price
    9.1m
    Own
    22%
    3.0
    1. MCI (H)
    2. BRE (A)
    3. BHA (H)
    4. ARS (H)
    5. CRY (A)
  5. Ranked 5 Florian Wirtz
    MID LIV vs
    10.6 Ahead
    Value
    1.46
    Price
    7.3m
    Own
    5.7%
    3.0
    1. MCI (H)
    2. BRE (A)
    3. BHA (H)
    4. ARS (H)
    5. CRY (A)
Position
Minutes played
Rounds ahead
Price
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)
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)
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)
4 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)
5 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)
DEF vs LIV · 5.0m 92%
Value
2.06
Pts
3.0
xGI
0.03
Own
3.5%
Mins
415
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
7 Cody Gakpo ! 8.0
MID vs LIV · 7.2m 56%
Value
1.11
Pts
2.4
xGI
0.58
Own
12%
Mins
370
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
8 Milos Kerkez 7.6
DEF vs LIV · 5.3m 75%
Value
1.43
Pts
2.2
xGI
0.04
Own
2.2%
Mins
385
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
9 Bradley Barcola 7.3
MID vs LIV · 8.0m 63%
Value
0.91
Pts
2.2
xGI
0.21
Own
1.9%
Mins
168
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
MID vs LIV · 5.4m 58%
Value
1.31
Pts
2.1
xGI
0.17
Own
1.3%
Mins
306
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
11 Ronald Araujo 6.2
DEF vs LIV · 5.4m 58%
Value
1.16
Pts
1.8
xGI
0.02
Own
3.0%
Mins
284
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
12 Victor Munoz 6.0
MID vs LIV · 6.5m 58%
Value
0.92
Pts
1.8
xGI
0.29
Own
0.9%
Mins
257
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
MID vs LIV · 5.8m 42%
Value
0.90
Pts
1.6
xGI
0.09
Own
1.1%
Mins
190
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
DEF vs LIV · 5.3m 42%
Value
0.82
Pts
1.3
xGI
0.13
Own
1.8%
Mins
178
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
15 Rio Ngumoha 3.9
MID vs LIV · 5.7m 25%
Value
0.68
Pts
1.2
xGI
0.19
Own
0.5%
Mins
99
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
DEF vs LIV · 4.9m 25%
Value
0.63
Pts
0.9
xGI
0.09
Own
0.1%
Mins
64
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
17 Jayden Danns 2.8
FWD vs LIV · 4.5m 8.3%
Value
0.61
Pts
0.8
xGI
0.00
Own
0.2%
Mins
0
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
18 Lewis Koumas 2.4
MID vs LIV · 5.0m 8.3%
Value
0.48
Pts
0.7
xGI
1.15
Own
0.0%
Mins
22
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
19 Endo Wataru 2.4
MID vs LIV · 4.9m 8.3%
Value
0.48
Pts
0.7
xGI
0.00
Own
0.1%
Mins
0
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
20 James McConnell 2.4
MID vs LIV · 4.4m 8.3%
Value
0.54
Pts
0.7
xGI
0.00
Own
0.2%
Mins
0
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
21 Trey Nyoni 2.4
MID vs LIV · 4.9m 8.3%
Value
0.48
Pts
0.7
xGI
0.00
Own
0.0%
Mins
38
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
22 Freddie Woodman 2.0
GKP vs LIV · 4.0m 8.3%
Value
0.50
Pts
0.6
xGI
0.00
Own
1.0%
Mins
0
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
23 Giorgi Mamardashvili 2.0
GKP vs LIV · 4.9m 8.3%
Value
0.40
Pts
0.6
xGI
0.00
Own
0.1%
Mins
0
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
24 Harvey Davies 2.0
GKP vs LIV · 4.0m 8.3%
Value
0.50
Pts
0.6
xGI
0.00
Own
0.2%
Mins
0
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
25 Joe Gomez 1.7
DEF vs LIV · 4.9m 8.3%
Value
0.35
Pts
0.5
xGI
0.00
Own
0.0%
Mins
0
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (A)
26 Wellity Lucky 1.7
DEF vs LIV · 4.0m 8.3%
Value
0.43
Pts
0.5
xGI
0.00
Own
0.1%
Mins
0
  1. MCI (H)
  2. BRE (A)
  3. BHA (H)
  4. ARS (H)
  5. CRY (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.