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 · 5-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 277 players your filters leave: 115 very safe, 47 safe, 54 a rotation risk, 61 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 Smith
    DEF BOU vs
    92% Start
    Mins
    80
    Ahead
    8.4
    Price
    4.5m
    Very safe Full

    5 of 5 started

    3.0
    1. CHE (A)
    2. SUN (H)
    3. MUN (A)
    4. LEE (H)
    5. IPS (A)
  2. Ranked 2 Adam Wharton
    MID CRY vs
    92% Start
    Mins
    80
    Ahead
    10.6
    Price
    5.4m
    Very safe Full

    5 of 5 started

    3.0
    1. NFO (H)
    2. BHA (A)
    3. NEW (H)
    4. TOT (A)
    5. LIV (H)
  3. Ranked 3 Adrien Truffert
    DEF BOU vs
    92% Start
    Mins
    83
    Ahead
    11.3
    Price
    5.4m
    Very safe Full

    5 of 5 started

    3.0
    1. CHE (A)
    2. SUN (H)
    3. MUN (A)
    4. LEE (H)
    5. IPS (A)
  4. Ranked 4 Alex Iwobi
    MID FUL vs
    92% Start
    Mins
    75
    Ahead
    11.3
    Price
    5.4m
    Very safe Full

    5 of 5 started

    2.8
    1. IPS (A)
    2. HUL (H)
    3. COV (A)
    4. AVL (A)
    5. NEW (H)
  5. Ranked 5 Alex Scott
    MID BOU vs
    92% Start
    Mins
    82
    Ahead
    13.7
    Price
    6.1m
    Very safe Full

    5 of 5 started

    3.0
    1. CHE (A)
    2. SUN (H)
    3. MUN (A)
    4. LEE (H)
    5. IPS (A)
Position
Minutes played
Rounds ahead
Price
Enter your squad to mark what you already own and what you could afford →
Showing 60 of 277 players 277 of 487 match your filters Clear filters
1 Adam Smith 92%
DEF vs BOU · 4.5m · 5 of 5 started
Very safe Full
Mins
80
Ahead
8.4
xGI
0.02
2 Adam Wharton 92%
MID vs CRY · 5.4m · 5 of 5 started
Very safe Full
Mins
80
Ahead
10.6
xGI
0.15
DEF vs BOU · 5.4m · 5 of 5 started
Very safe Full
Mins
83
Ahead
11.3
xGI
0.08
4 Alex Iwobi 92%
MID vs FUL · 5.4m · 5 of 5 started
Very safe Full
Mins
75
Ahead
11.3
xGI
0.36
5 Alex Scott 92%
MID vs BOU · 6.1m · 5 of 5 started
Very safe Full
Mins
82
Ahead
13.7
xGI
0.21
GKP vs LIV · 5.5m · 5 of 5 started
Very safe Full
Mins
83
Ahead
12.1
xGI
0.00
7 Anton Stach 92%
MID vs LEE · 6.0m · 5 of 5 started
Very safe Full
Mins
82
Ahead
13.4
xGI
0.26
DEF vs FUL · 4.5m · 5 of 5 started
Very safe Full
Mins
79
Ahead
10.0
xGI
0.11
GKP vs TOT · 4.5m · 5 of 5 started
Very safe Full
Mins
83
Ahead
10.7
xGI
0.00
DEF vs BOU · 5.0m · 5 of 5 started
Very safe Full
Mins
83
Ahead
13.2
xGI
0.23
GKP vs BHA · 4.5m · 5 of 5 started
Very safe Full
Mins
83
Ahead
10.7
xGI
0.04
12 Bernd Leno 92%
GKP vs FUL · 4.5m · 5 of 5 started
Very safe Full
Mins
83
Ahead
11.7
xGI
0.00
13 Bobby Thomas 92%
DEF vs COV · 4.0m · 5 of 5 started
Very safe Full
Mins
81
Ahead
13.6
xGI
0.16
MID vs AVL · 5.0m · 5 of 5 started
Very safe Full
Mins
82
Ahead
10.3
xGI
0.05
MID vs MUN · 11.9m · 5 of 5 started
Very safe Full
Mins
83
Ahead
14.2
xGI
0.77
16 Bryan Mbeumo 92%
MID vs MUN · 7.9m · 5 of 5 started
Very safe Full
Mins
83
Ahead
14.1
xGI
0.77
17 Bukayo Saka 92%
MID vs ARS · 9.5m · 5 of 5 started
Very safe Full
Mins
77
Ahead
14.7
xGI
0.91
18 Calvin Bassey 92%
DEF vs FUL · 4.5m · 5 of 5 started
Very safe Full
Mins
83
Ahead
9.6
xGI
0.05
GKP vs BRE · 5.0m · 5 of 5 started
Very safe Full
Mins
83
Ahead
11.2
xGI
0.00
GKP vs COV · 4.5m · 5 of 5 started
Very safe Full
Mins
83
Ahead
10.8
xGI
0.00
DEF vs CRY · 4.9m · 5 of 5 started
Very safe Full
Mins
83
Ahead
12.0
xGI
0.03
MID vs ARS · 6.3m · 5 of 5 started
Very safe Full
Mins
67
Ahead
9.2
xGI
0.19
23 Daichi Kamada 92%
MID vs CRY · 5.0m · 5 of 5 started
Very safe Full
Mins
81
Ahead
10.6
xGI
0.18
24 Dan Ndoye 92%
MID vs NFO · 5.5m · 5 of 5 started
Very safe Full
Mins
58
Ahead
8.9
xGI
0.62
25 Dara O'Shea 92%
DEF vs IPS · 4.0m · 5 of 5 started
Very safe Full
Mins
83
Ahead
10.9
xGI
0.06
GKP vs ARS · 6.1m · 5 of 5 started
Very safe Full
Mins
83
Ahead
13.2
xGI
0.00
27 Diego Gómez 92%
MID vs BHA · 5.0m · 5 of 5 started
Very safe Full
Mins
80
Ahead
11.0
xGI
0.32
FWD vs LEE · 6.0m · 5 of 5 started
Very safe Full
Mins
77
Ahead
12.6
xGI
0.66
MID vs LIV · 7.0m · 5 of 5 started
Very safe Full
Mins
81
Ahead
12.0
xGI
0.46
MID vs MCI · 6.3m · 5 of 5 started
Very safe Full
Mins
76
Ahead
11.4
xGI
0.17
31 Emersonn 92%
FWD vs IPS · 5.5m · 5 of 5 started
Very safe Full
Mins
59
Ahead
11.6
xGI
0.49
MID vs AVL · 5.9m · 5 of 5 started
Very safe Full
Mins
74
Ahead
11.3
xGI
0.26
33 Enzo Le Fée 92%
MID vs SUN · 5.7m · 5 of 5 started
Very safe Full
Mins
81
Ahead
13.0
xGI
0.70
FWD vs MCI · 15.6m · 5 of 5 started
Very safe Full
Mins
83
Ahead
16.7
xGI
0.99
35 Ethan Ampadu 92%
MID vs LEE · 5.4m · 5 of 5 started
Very safe Full
Mins
83
Ahead
11.9
xGI
0.07
36 Evanilson 92%
FWD vs BOU · 6.0m · 5 of 5 started
Very safe Full
Mins
78
Ahead
11.5
xGI
0.29
37 Florian Wirtz 92%
MID vs LIV · 7.3m · 5 of 5 started
Very safe Full
Mins
74
Ahead
10.6
xGI
0.31
DEF vs ARS · 8.0m · 5 of 5 started
Very safe Full
Mins
83
Ahead
13.6
xGI
0.14
GKP vs MCI · 5.5m · 5 of 5 started
Very safe Full
Mins
83
Ahead
11.5
xGI
0.00
FWD vs FUL · 6.0m · 5 of 5 started
Very safe Full
Mins
78
Ahead
13.4
xGI
0.61
41 Granit Xhaka 92%
MID vs SUN · 5.5m · 5 of 5 started
Very safe Full
Mins
83
Ahead
13.1
xGI
0.27
MID vs EVE · 5.0m · 5 of 5 started
Very safe Full
Mins
82
Ahead
10.0
xGI
0.14
43 Harry Maguire 92%
DEF vs MUN · 4.8m · 5 of 5 started
Very safe Full
Mins
83
Ahead
10.8
xGI
0.13
44 Harvey Barnes 92%
MID vs NEW · 6.1m · 5 of 5 started
Very safe Full
Mins
83
Ahead
11.2
xGI
0.22
45 Igor Thiago 92%
FWD vs BRE · 7.8m · 5 of 5 started
Very safe Full
Mins
82
Ahead
13.1
xGI
0.67
46 Issa Diop 92%
DEF vs IPS · 4.0m · 5 of 5 started
Very safe Full
Mins
83
Ahead
10.4
xGI
0.04
47 James Hill 92%
DEF vs BOU · 5.5m · 5 of 5 started
Very safe Full
Mins
83
Ahead
11.7
xGI
0.16
48 James Justin 92%
DEF vs LEE · 4.5m · 5 of 5 started
Very safe Full
Mins
83
Ahead
11.4
xGI
0.12
49 James McAtee 92%
MID vs NFO · 5.5m · 5 of 5 started
Very safe Full
Mins
77
Ahead
10.2
xGI
0.29
DEF vs EVE · 6.2m · 5 of 5 started
Very safe Full
Mins
83
Ahead
13.1
xGI
0.05
GKP vs LEE · 5.0m · 5 of 5 started
Very safe Full
Mins
83
Ahead
12.7
xGI
0.00
DEF vs EVE · 5.5m · 5 of 5 started
Very safe Full
Mins
83
Ahead
12.0
xGI
0.03
53 Jay Dasilva 92%
DEF vs COV · 4.0m · 5 of 5 started
Very safe Full
Mins
82
Ahead
11.0
xGI
0.21
54 Jayden Bogle 92%
DEF vs LEE · 4.6m · 5 of 5 started
Very safe Full
Mins
67
Ahead
10.1
xGI
0.36
DEF vs LIV · 5.0m · 5 of 5 started
Very safe Full
Mins
77
Ahead
10.3
xGI
0.03
56 John Egan 92%
DEF vs HUL · 4.1m · 5 of 5 started
Very safe Full
Mins
81
Ahead
12.8
xGI
0.01
57 John McGinn 92%
MID vs AVL · 5.4m · 5 of 5 started
Very safe Full
Mins
80
Ahead
10.6
xGI
0.21
GKP vs EVE · 5.5m · 5 of 5 started
Very safe Full
Mins
83
Ahead
11.1
xGI
0.00
59 Josh King 92%
MID vs FUL · 5.5m · 5 of 5 started
Very safe Full
Mins
78
Ahead
12.2
xGI
0.43
DEF vs MCI · 5.7m · 5 of 5 started
Very safe Full
Mins
80
Ahead
11.1
xGI
0.20
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.