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

Senne Lammens

GKP · MUN · 4.9m · owned by 9.9%

2.50

Value

every bar on one axis of 0 to 2.5

That is 12.2 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

Senne Lammens is the best value on the board: 2.50 points per million, from 12.2 over 5 rounds at 4.9m.

Price

4.9m

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

Ahead

12.2

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

Own

9.9%

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 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)
  2. Ranked 2 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)
  3. Ranked 3 Senne Lammens
    GKP MUN vs
    12.2 Ahead
    Value
    2.50
    Price
    4.9m
    Own
    9.9%
    2.4
    1. TOT (H)
    2. LEE (A)
    3. BOU (H)
    4. CHE (A)
    5. AVL (H)
  4. Ranked 4 Matheus Cunha
    MID MUN vs
    11.7 Ahead
    Value
    1.48
    Price
    7.9m
    Own
    5.8%
    2.4
    1. TOT (H)
    2. LEE (A)
    3. BOU (H)
    4. CHE (A)
    5. AVL (H)
  5. Ranked 5 Youri Tielemans
    MID MUN vs
    11.4 Ahead
    Value
    1.96
    Price
    5.8m
    Own
    1.5%
    2.4
    1. TOT (H)
    2. LEE (A)
    3. BOU (H)
    4. CHE (A)
    5. AVL (H)
Position
Minutes played
Rounds ahead
Price
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)
2 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)
3 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)
4 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)
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)
6 Harry Maguire 10.8
DEF vs MUN · 4.8m 92%
Value
2.24
Pts
3.5
xGI
0.13
Own
8.6%
Mins
450
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
DEF vs MUN · 5.0m 75%
Value
1.79
Pts
2.9
xGI
0.09
Own
1.3%
Mins
360
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
8 Luke Shaw 8.8
DEF vs MUN · 4.3m 75%
Value
2.04
Pts
2.9
xGI
0.17
Own
7.7%
Mins
335
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
9 Diogo Dalot 8.7
DEF vs MUN · 4.9m 75%
Value
1.77
Pts
2.8
xGI
0.12
Own
1.6%
Mins
346
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
10 Kobbie Mainoo ! 7.6
MID vs MUN · 5.5m 56%
Value
1.37
Pts
2.3
xGI
0.21
Own
1.6%
Mins
354
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
11 Marcus Rashford ! 7.0
MID vs MUN · 7.0m 56%
Value
1.00
Pts
2.2
xGI
0.31
Own
1.5%
Mins
351
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
12 Patrick Dorgu ! 4.4
MID vs MUN · 5.8m 31%
Value
0.76
Pts
1.4
xGI
0.46
Own
0.5%
Mins
171
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
13 Andrey Santos 4.0
MID vs MUN · 4.8m 25%
Value
0.83
Pts
1.2
xGI
0.26
Own
0.6%
Mins
82
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
DEF vs MUN · 4.4m 25%
Value
0.81
Pts
1.2
xGI
0.26
Own
0.5%
Mins
97
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
15 Ayden Heaven 3.5
DEF vs MUN · 4.3m 25%
Value
0.81
Pts
1.1
xGI
0.16
Own
0.3%
Mins
90
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
16 Joshua Zirkzee 2.8
FWD vs MUN · 5.3m 8.3%
Value
0.53
Pts
0.9
xGI
0.04
Own
0.4%
Mins
20
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
17 Mason Mount 2.4
MID vs MUN · 5.4m 8.3%
Value
0.45
Pts
0.7
xGI
0.90
Own
0.0%
Mins
10
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
18 Bendito Mantato 2.4
MID vs MUN · 4.4m 8.3%
Value
0.55
Pts
0.7
xGI
0.00
Own
0.2%
Mins
0
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
19 Carlos Baleba 2.4
MID vs MUN · 4.9m 8.3%
Value
0.50
Pts
0.7
xGI
0.00
Own
0.1%
Mins
0
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
20 Jack Fletcher 2.4
MID vs MUN · 4.9m 8.3%
Value
0.50
Pts
0.7
xGI
0.00
Own
0.0%
Mins
0
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
21 Tyler Fletcher 2.4
MID vs MUN · 4.4m 8.3%
Value
0.55
Pts
0.7
xGI
0.00
Own
0.3%
Mins
0
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
22 Shea Lacey 2.4
MID vs MUN · 4.9m 8.3%
Value
0.49
Pts
0.7
xGI
0.00
Own
0.1%
Mins
10
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
23 Benjamin Sesko ! 2.1
FWD vs MUN · 7.0m 6.3%
Value
0.30
Pts
0.6
xGI
0.47
Own
1.6%
Mins
76
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
24 Harry Amass 1.9
DEF vs MUN · 4.0m 8.3%
Value
0.48
Pts
0.6
xGI
0.00
Own
0.2%
Mins
0
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
25 Leny Yoro 1.9
DEF vs MUN · 4.8m 8.3%
Value
0.40
Pts
0.6
xGI
0.08
Own
0.5%
Mins
22
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (H)
26 Karl Darlow ! 1.6
GKP vs MUN · 4.5m 6.3%
Value
0.36
Pts
0.5
xGI
0.00
Own
0.0%
Mins
0
  1. TOT (H)
  2. LEE (A)
  3. BOU (H)
  4. CHE (A)
  5. AVL (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.