xgEdge

Fantasy Premier League

Who is actually going to play

Minutes are the largest single source of error in any projection, and they are the one thing no statistics feed predicts. Every player the game would let you field, banded on the start probability the rest of this section already multiplies by — with the number, the recent starts behind it and whatever the game has said about him printed alongside, because a band is a bucket and the figures are what keep it honest.

The board's biggest minutes risk

Nothing on this board is projected well and expected to sit. Every player the model rates is one it also expects to start.

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

Nothing your filters leave carries a real projection on doubtful minutes — every player on the board the model expects points from, it also expects to start.

The whole board

Of the 220 players your filters leave: 47 very safe, 21 safe, 27 a rotation risk, 125 at high risk or worse.

The top five on this board

The board as your controls leave it — the same five that open the table below.

  1. Ranked 1 Adam Wharton
    MID CRY vs
    92% Start
    Mins
    80
    Ahead
    7.8
    Price
    5.4m
    Very safe Full

    5 of 5 started

    3.0
    1. NFO (H)
    2. BHA (A)
    3. NEW (H)
  2. Ranked 2 Alex Iwobi
    MID FUL vs
    92% Start
    Mins
    75
    Ahead
    8.1
    Price
    5.4m
    Very safe Full

    5 of 5 started

    3.0
    1. IPS (A)
    2. HUL (H)
    3. COV (A)
  3. Ranked 3 Alex Scott
    MID BOU vs
    92% Start
    Mins
    82
    Ahead
    9.8
    Price
    6.1m
    Very safe Full

    5 of 5 started

    3.3
    1. CHE (A)
    2. SUN (H)
    3. MUN (A)
  4. Ranked 4 Anton Stach
    MID LEE vs
    92% Start
    Mins
    82
    Ahead
    9.6
    Price
    6.0m
    Very safe Full

    5 of 5 started

    3.7
    1. ARS (A)
    2. MUN (H)
    3. SUN (A)
  5. Ranked 5 Boubacar Kamara
    MID AVL vs
    92% Start
    Mins
    82
    Ahead
    7.5
    Price
    5.0m
    Very safe Full

    5 of 5 started

    3.0
    1. BRE (H)
    2. NEW (A)
    3. MCI (H)
Position
Minutes played
Rounds ahead
Price
Enter your squad to mark what you already own and what you could afford →
Showing 60 of 220 players 220 of 487 match your filters Clear filters
1 Adam Wharton 92%
MID vs CRY · 5.4m · 5 of 5 started
Very safe Full
Mins
80
Ahead
7.8
xGI
0.15
2 Alex Iwobi 92%
MID vs FUL · 5.4m · 5 of 5 started
Very safe Full
Mins
75
Ahead
8.1
xGI
0.36
3 Alex Scott 92%
MID vs BOU · 6.1m · 5 of 5 started
Very safe Full
Mins
82
Ahead
9.8
xGI
0.21
4 Anton Stach 92%
MID vs LEE · 6.0m · 5 of 5 started
Very safe Full
Mins
82
Ahead
9.6
xGI
0.26
MID vs AVL · 5.0m · 5 of 5 started
Very safe Full
Mins
82
Ahead
7.5
xGI
0.05
MID vs MUN · 11.9m · 5 of 5 started
Very safe Full
Mins
83
Ahead
10.3
xGI
0.77
7 Bryan Mbeumo 92%
MID vs MUN · 7.9m · 5 of 5 started
Very safe Full
Mins
83
Ahead
10.2
xGI
0.77
8 Bukayo Saka 92%
MID vs ARS · 9.5m · 5 of 5 started
Very safe Full
Mins
77
Ahead
10.8
xGI
0.91
MID vs ARS · 6.3m · 5 of 5 started
Very safe Full
Mins
67
Ahead
6.8
xGI
0.19
10 Daichi Kamada 92%
MID vs CRY · 5.0m · 5 of 5 started
Very safe Full
Mins
81
Ahead
7.8
xGI
0.18
11 Dan Ndoye 92%
MID vs NFO · 5.5m · 5 of 5 started
Very safe Full
Mins
58
Ahead
6.4
xGI
0.62
12 Diego Gómez 92%
MID vs BHA · 5.0m · 5 of 5 started
Very safe Full
Mins
80
Ahead
8.0
xGI
0.32
MID vs LIV · 7.0m · 5 of 5 started
Very safe Full
Mins
81
Ahead
8.8
xGI
0.46
MID vs MCI · 6.3m · 5 of 5 started
Very safe Full
Mins
76
Ahead
8.3
xGI
0.17
MID vs AVL · 5.9m · 5 of 5 started
Very safe Full
Mins
74
Ahead
8.3
xGI
0.26
16 Enzo Le Fée 92%
MID vs SUN · 5.7m · 5 of 5 started
Very safe Full
Mins
81
Ahead
9.4
xGI
0.70
17 Ethan Ampadu 92%
MID vs LEE · 5.4m · 5 of 5 started
Very safe Full
Mins
83
Ahead
8.5
xGI
0.07
18 Florian Wirtz 92%
MID vs LIV · 7.3m · 5 of 5 started
Very safe Full
Mins
74
Ahead
7.8
xGI
0.31
19 Granit Xhaka 92%
MID vs SUN · 5.5m · 5 of 5 started
Very safe Full
Mins
83
Ahead
9.5
xGI
0.27
MID vs EVE · 5.0m · 5 of 5 started
Very safe Full
Mins
82
Ahead
7.2
xGI
0.14
21 Harvey Barnes 92%
MID vs NEW · 6.1m · 5 of 5 started
Very safe Full
Mins
83
Ahead
8.3
xGI
0.22
22 James McAtee 92%
MID vs NFO · 5.5m · 5 of 5 started
Very safe Full
Mins
77
Ahead
7.4
xGI
0.29
23 John McGinn 92%
MID vs AVL · 5.4m · 5 of 5 started
Very safe Full
Mins
80
Ahead
7.8
xGI
0.21
24 Josh King 92%
MID vs FUL · 5.5m · 5 of 5 started
Very safe Full
Mins
78
Ahead
8.7
xGI
0.43
25 Julio Enciso 92%
MID vs IPS · 5.5m · 5 of 5 started
Very safe Full
Mins
76
Ahead
8.2
xGI
0.46
MID vs BRE · 5.5m · 5 of 5 started
Very safe Full
Mins
75
Ahead
8.0
xGI
0.45
27 Kevin Schade 92%
MID vs BRE · 6.2m · 5 of 5 started
Very safe Full
Mins
82
Ahead
9.2
xGI
0.37
MID vs EVE · 6.6m · 5 of 5 started
Very safe Full
Mins
83
Ahead
8.6
xGI
0.37
29 Lewis Miley 92%
MID vs NEW · 5.5m · 5 of 5 started
Very safe Full
Mins
73
Ahead
7.8
xGI
0.04
MID vs BOU · 6.1m · 5 of 5 started
Very safe Full
Mins
78
Ahead
9.6
xGI
0.56
MID vs ARS · 6.8m · 5 of 5 started
Very safe Full
Mins
70
Ahead
9.3
xGI
0.58
32 Matheus Cunha 92%
MID vs MUN · 7.9m · 5 of 5 started
Very safe Full
Mins
75
Ahead
8.5
xGI
0.32
33 Matt Grimes 92%
MID vs COV · 4.9m · 5 of 5 started
Very safe Full
Mins
82
Ahead
7.7
xGI
0.05
MID vs HUL · 5.1m · 5 of 5 started
Very safe Full
Mins
73
Ahead
7.8
xGI
0.26
MID vs NFO · 8.0m · 5 of 5 started
Very safe Full
Mins
83
Ahead
9.4
xGI
0.59
36 Morgan Rogers 92%
MID vs CHE · 7.7m · 5 of 5 started
Very safe Full
Mins
81
Ahead
9.0
xGI
0.60
37 Nilson Angulo 92%
MID vs SUN · 5.0m · 5 of 5 started
Very safe Full
Mins
58
Ahead
5.9
xGI
0.21
38 Noah Sadiki 92%
MID vs SUN · 4.9m · 5 of 5 started
Very safe Full
Mins
76
Ahead
7.4
xGI
0.15
39 Oscar Bobb 92%
MID vs FUL · 5.5m · 5 of 5 started
Very safe Full
Mins
63
Ahead
7.5
xGI
0.44
40 Pascal Groß 92%
MID vs BHA · 5.8m · 5 of 5 started
Very safe Full
Mins
83
Ahead
9.6
xGI
0.52
41 Rayan 92%
MID vs BOU · 6.3m · 5 of 5 started
Very safe Full
Mins
80
Ahead
7.7
xGI
0.27
42 Regan Slater 92%
MID vs HUL · 4.5m · 5 of 5 started
Very safe Full
Mins
81
Ahead
7.6
xGI
0.16
43 Sandro Tonali 92%
MID vs TOT · 5.3m · 5 of 5 started
Very safe Full
Mins
79
Ahead
7.7
xGI
0.18
44 Saša Lukić 92%
MID vs IPS · 4.9m · 5 of 5 started
Very safe Full
Mins
74
Ahead
7.0
xGI
0.09
45 Vitaly Janelt 92%
MID vs BRE · 5.0m · 5 of 5 started
Very safe Full
Mins
83
Ahead
9.7
xGI
0.20
MID vs MUN · 5.8m · 5 of 5 started
Very safe Full
Mins
74
Ahead
8.3
xGI
0.27
47 Quinten Timber 88%
MID vs CRY · 5.0m · 3 of 3 started
Very safe Partial
Mins
75
Ahead
7.8
xGI
0.11
48 Elliot Stroud 75%
MID vs HUL · 5.0m · 4 of 5 started
Safe Full
Mins
48
Ahead
4.6
xGI
0.04
MID vs COV · 5.3m · 4 of 5 started
Safe Full
Mins
45
Ahead
4.4
xGI
0.25
50 Frank Onyeka 75%
MID vs COV · 4.9m · 4 of 5 started
Safe Full
Mins
60
Ahead
6.2
xGI
0.02
MID vs AVL · 4.5m · 4 of 5 started · 1 off the bench, 18.0 mins
Safe Full
Mins
54
Ahead
5.4
xGI
0.07
52 Iliman Ndiaye 75%
MID vs MCI · 5.8m · 4 of 5 started · 1 off the bench, 45.0 mins
Safe Full
Mins
65
Ahead
6.8
xGI
0.23
53 Jack Rudoni 75%
MID vs COV · 4.9m · 4 of 5 started · 1 off the bench, 20.0 mins
Safe Full
Mins
54
Ahead
7.0
xGI
0.62
54 James Garner 75%
MID vs EVE · 6.0m · 4 of 5 started · 1 off the bench, 11.0 mins
Safe Full
Mins
61
Ahead
6.1
xGI
0.10
MID vs BRE · 5.6m · 4 of 5 started · 1 off the bench, 21.0 mins
Safe Full
Mins
58
Ahead
6.3
xGI
0.29
MID vs ARS · 5.4m · 4 of 5 started
Safe Full
Mins
52
Ahead
5.6
xGI
0.13
57 Noah Okafor 75%
MID vs LEE · 5.8m · 4 of 5 started · 1 off the bench, 24.0 mins
Safe Full
Mins
53
Ahead
5.7
xGI
0.13
58 Pedro Neto 75%
MID vs CHE · 6.5m · 4 of 5 started · 1 off the bench, 14.0 mins
Safe Full
Mins
61
Ahead
6.6
xGI
0.34
59 Rayan Cherki 75%
MID vs MCI · 7.8m · 4 of 5 started · 1 off the bench, 27.0 mins
Safe Full
Mins
53
Ahead
6.5
xGI
0.67
MID vs TOT · 5.5m · 4 of 5 started · 1 off the bench, 45.0 mins
Safe Full
Mins
63
Ahead
6.9
xGI
0.03
each row's Start, drawn to scale every bar on one axis of 0 to 1.0

What a band is here, and what it is not

There is no second minutes model on this page. Every band is a bucket cut from the start probability the projection on every other board has already been multiplied by — his last 5 rounds blended against his season rate, smoothed for how little of either there is, and multiplied by what the game says about his fitness.

The cuts are on that probability: 85% and above is very safe, 70% is safe, 45% is a rotation risk, 20% is high risk, and under that is very high risk. The number is printed beside the band on every row, because two players in the same band can be fifteen points of probability apart.

Nobody reaches a hundred per cent and nobody should. The model anchors every player against one round at even odds, so a player who has started every match of the window comes out in the low nineties — which is about what a nailed-on starter actually manages once rotation, knocks and suspensions are counted.

The expected minutes beside the band are the whole of the estimate: his chance of starting times what his own starts have been worth, plus his chance of coming on times what a substitute appearance is worth. It is not a prediction of one afternoon.

A short history is labelled rather than left out. Under 2 stored rounds the estimate is resting on his season totals and the model's own anchor rather than on rounds anybody can see, and the row says so.

The news column is the game's own, unedited, and it is the one input here no statistics feed carries. It arrives with the feed, so a suspension or an injury announced since the last refresh is not on this page yet — the refresh time is at the top.

A player with excellent underlying numbers and a poor band is shown as exactly that, and is neither hidden nor quietly demoted. The projection beside him already has his minutes in it; the band is there so the reader can see how much of that projection is a bet on selection.

The same band is the minimum-security filter on every board in this section, read off the same figure — so a board narrowed to “Safe” and this page's own safe column can never disagree about a player.

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.

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.