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

Victor Lindelöf

DEF · AVL · 4.5m · owned by 0.3%

2.05

Value

every bar on one axis of 0 to 2.5

That is 9.2 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

Victor Lindelöf is the best value on the board: 2.05 points per million, from 9.2 over 5 rounds at 4.5m.

Price

4.5m

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

Ahead

9.2

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

Own

0.3%

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. MID AVL vs
    11.3 Ahead
    Value
    1.91
    Price
    5.9m
    Own
    1.0%
    3.2
    1. BRE (H)
    2. NEW (A)
    3. MCI (H)
    4. FUL (H)
    5. MUN (A)
  2. Ranked 2 John McGinn
    MID AVL vs
    10.6 Ahead
    Value
    1.96
    Price
    5.4m
    Own
    2.2%
    3.2
    1. BRE (H)
    2. NEW (A)
    3. MCI (H)
    4. FUL (H)
    5. MUN (A)
  3. Ranked 3 Boubacar Kamara
    MID AVL vs
    10.3 Ahead
    Value
    2.05
    Price
    5.0m
    Own
    0.3%
    3.2
    1. BRE (H)
    2. NEW (A)
    3. MCI (H)
    4. FUL (H)
    5. MUN (A)
  4. Ranked 4 Zion Suzuki
    GKP AVL vs
    9.9 Ahead
    Value
    1.97
    Price
    5.0m
    Own
    1.9%
    3.2
    1. BRE (H)
    2. NEW (A)
    3. MCI (H)
    4. FUL (H)
    5. MUN (A)
  5. Ranked 5 Victor Lindelöf
    DEF AVL vs
    9.2 Ahead
    Value
    2.05
    Price
    4.5m
    Own
    0.3%
    3.2
    1. BRE (H)
    2. NEW (A)
    3. MCI (H)
    4. FUL (H)
    5. MUN (A)
Position
Minutes played
Rounds ahead
Price
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)
2 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)
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)
4 Zion Suzuki 9.9
GKP vs AVL · 5.0m 75%
Value
1.97
Pts
3.0
xGI
0.00
Own
1.9%
Mins
360
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
DEF vs AVL · 4.5m 92%
Value
2.05
Pts
2.9
xGI
0.12
Own
0.3%
Mins
450
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
FWD vs AVL · 6.5m 75%
Value
1.41
Pts
2.8
xGI
0.40
Own
1.5%
Mins
286
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
7 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)
MID vs AVL · 4.5m 75%
Value
1.64
Pts
2.3
xGI
0.07
Own
1.2%
Mins
297
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
9 Matty Cash 5.5
DEF vs AVL · 4.4m 58%
Value
1.25
Pts
1.8
xGI
0.06
Own
4.8%
Mins
296
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
10 João Gomes 5.4
MID vs AVL · 5.5m 42%
Value
0.98
Pts
1.6
xGI
0.02
Own
0.0%
Mins
129
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
DEF vs AVL · 4.5m 50%
Value
1.10
Pts
1.6
xGI
0.04
Own
0.2%
Mins
152
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
12 Johan Manzambi 4.3
MID vs AVL · 5.9m 25%
Value
0.73
Pts
1.3
xGI
0.62
Own
0.4%
Mins
98
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
13 Tyrone Mings 4.0
DEF vs AVL · 4.5m 42%
Value
0.90
Pts
1.3
xGI
0.08
Own
0.4%
Mins
261
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
14 James Wright 3.4
GKP vs AVL · 4.0m 25%
Value
0.85
Pts
1.0
xGI
0.00
Own
0.1%
Mins
0
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
15 Ibrahim Mbaye 2.8
MID vs AVL · 6.0m 13%
Value
0.47
Pts
0.9
xGI
0.40
Own
0.1%
Mins
33
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
DEF vs AVL · 4.5m 25%
Value
0.62
Pts
0.9
xGI
0.04
Own
0.1%
Mins
113
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
17 Tammy Abraham 2.8
FWD vs AVL · 5.5m 8.3%
Value
0.50
Pts
0.8
xGI
0.00
Own
0.2%
Mins
71
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
18 Bradley Burrowes 2.4
MID vs AVL · 4.5m 8.3%
Value
0.54
Pts
0.7
xGI
0.00
Own
0.6%
Mins
0
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
MID vs AVL · 4.9m 8.3%
Value
0.49
Pts
0.7
xGI
0.00
Own
0.1%
Mins
16
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
MID vs AVL · 5.8m 8.3%
Value
0.41
Pts
0.7
xGI
0.00
Own
0.3%
Mins
31
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
21 Taylor Harwood-Bellis 1.9
DEF vs AVL · 4.5m 13%
Value
0.41
Pts
0.6
xGI
0.00
Own
0.0%
Mins
0
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
22 Alysson ! 1.8
MID vs AVL · 5.0m 6.3%
Value
0.35
Pts
0.5
xGI
0.06
Own
0.0%
Mins
87
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
23 Andrés García 1.5
DEF vs AVL · 4.0m 8.3%
Value
0.38
Pts
0.5
xGI
0.00
Own
1.5%
Mins
0
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (A)
24 Triston Rowe 1.5
DEF vs AVL · 4.0m 8.3%
Value
0.38
Pts
0.5
xGI
0.00
Own
0.2%
Mins
0
  1. BRE (H)
  2. NEW (A)
  3. MCI (H)
  4. FUL (H)
  5. MUN (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.