FPL Best Value Players (Points per Million)
There is nothing more critical in Fantasy Premier League than points. After all, they are the very thing that determines the best FPL manager at the end of the season.
Unfortunately, you don’t have an unlimited budget in FPL, though. Player value must be considered.
The ‘points per million’ and ‘points per game’ metrics in the table below will help you determine the best value players in the game.
Fantasy Premier League Points per Million
Updated 8 September 2026
| Team | Pos | |||||||
|---|---|---|---|---|---|---|---|---|
| Konstantinos Tzolakis |  | GK | £4.6m | 26 | 8.7 | +185% | 9.1% | |
| John Egan | | DEF | £4.1m | 23 | 7.7 | +175% | 6.2% | |
| Vitaly Janelt |  | MID | £5.0m | 21 | 7.0 | +74% | 1.4% | |
| Benjamin White |  | DEF | £5.5m | 20 | 6.7 | +79% | 7.6% | |
| Luka Vuskovic |  | DEF | £5.0m | 18 | 6.0 | +77% | 2.8% | |
| James Justin |  | DEF | £4.5m | 16 | 5.3 | +75% | 1.5% | |
| James Tarkowski |  | DEF | £6.0m | 21 | 7.0 | +72% | 11.2% | |
| Josh King |  | MID | £5.5m | 19 | 6.3 | +43% | 1.0% | |
| Marc Guéhi |  | DEF | £6.0m | 20 | 6.7 | +63% | 18.7% | |
| Granit Xhaka |  | MID | £5.5m | 18 | 6.0 | +35% | 4.5% | |
| Anton Stach | | MID | £6.0m | 19 | 6.3 | +31% | 2.8% | |
| Neco Williams |  | DEF | £5.0m | 15 | 5.0 | +47% | 8.3% | |
| James Trafford | | GK | £5.0m | 15 | 5.0 | +51% | 5.4% | |
| Pascal Groß | | MID | £5.5m | 16 | 5.3 | +20% | 16.2% | |
| Amar Dedić |  | DEF | £4.5m | 13 | 4.3 | +42% | 3.6% | |
| Kristoffer Ajer | | DEF | £4.5m | 13 | 4.3 | +42% | 4.9% | |
| Harvey Barnes | | MID | £6.0m | 17 | 5.7 | +17% | 1.9% | |
| Tarik Muharemović | | DEF | £5.0m | 14 | 4.7 | +37% | 3.4% | |
| João Pedro |  | FWD | £7.7m | 21 | 7.0 | +48% | 72.2% | |
| Bryan Mbeumo |  | MID | £7.9m | 21 | 7.0 | +10% | 25.7% | |
| David Raya | | GK | £6.0m | 15 | 5.0 | +26% | 38.8% | |
| Daniel Ballard | | DEF | £4.9m | 12 | 4.0 | +20% | 3.6% | |
| Regan Slater | | MID | £4.5m | 11 | 3.7 | +1% | 5.1% | |
| Vitalii Mykolenko | | DEF | £4.5m | 11 | 3.7 | +20% | 1.9% | |
| Jarrad Branthwaite | | DEF | £5.5m | 13 | 4.3 | +16% | 1.9% | |
| Kiernan Dewsbury-Hall | | MID | £6.5m | 15 | 5.0 | -5% | 4.4% | |
| Morgan Gibbs-White | | MID | £7.9m | 18 | 6.0 | -6% | 9.4% | |
| Bruno Fernandes | | MID | £12.0m | 27 | 9.0 | -7% | 46.6% | |
| Leif Davis |  | DEF | £4.0m | 9 | 3.0 | +10% | 5.1% | |
| Lewis Dunk | | DEF | £4.5m | 10 | 3.3 | +9% | 1.3% | |
| Jair Cunha | | DEF | £4.5m | 10 | 3.3 | +9% | 0.2% | |
| Caoimhín Kelleher | | GK | £5.0m | 11 | 3.7 | +11% | 6.8% | |
| Nikola Milenković | | DEF | £5.5m | 12 | 4.0 | +7% | 1.6% | |
| Dominik Szoboszlai |  | MID | £7.0m | 15 | 5.0 | -12% | 38.7% | |
| Jan Paul Van Hecke |  | DEF | £4.9m | 10 | 3.3 | 0% | 7.0% | |
| Bart Verbruggen | | GK | £4.5m | 9 | 3.0 | +1% | 22.2% | |
| Antonín Kinsky | | GK | £4.5m | 9 | 3.0 | +1% | 18.8% | |
| Lukás Horníček | | GK | £5.0m | 10 | 3.3 | +1% | 1.3% | |
| Reinildo | | DEF | £4.5m | 9 | 3.0 | -2% | 0.4% | |
| Jordan Pickford | | GK | £5.5m | 11 | 3.7 | +1% | 8.6% | |
| Gabriel | | DEF | £8.0m | 15 | 5.0 | -8% | 24.9% | |
| Gianluigi Donnarumma | | GK | £5.5m | 10 | 3.3 | -8% | 7.8% | |
| Alisson Becker | | GK | £5.5m | 10 | 3.3 | -8% | 3.8% | |
| Rúben | | DEF | £5.5m | 10 | 3.3 | -11% | 1.8% | |
| Matz Sels | | GK | £5.0m | 9 | 3.0 | -9% | 1.4% | |
| Sven Botman | | DEF | £5.0m | 9 | 3.0 | -12% | 0.7% | |
| Robin Roefs | | GK | £5.0m | 9 | 3.0 | -9% | 3.2% | |
| Dara O'Shea | | DEF | £4.0m | 7 | 2.3 | -14% | 3.1% | |
| Issa Diop | | DEF | £4.0m | 7 | 2.3 | -14% | 14.9% | |
| Gonzalo | | FWD | £6.0m | 10 | 3.3 | -10% | 4.3% |
vs Position compares each player’s points per million with the average for their position, so a defender is measured against other defenders rather than against midfielders who score in a different range.
The data above is live. Any column can sort the table by simply clicking the column header.
A poor run of form, tough fixtures, limited minutes, or injuries can all contribute to an underplayed points total. That’s why looking beyond just the ‘points’ metric is vital.
By default the table shows players with at least three full games behind them. Points per million rewards cheap players, so without that filter the top of the table fills with squad players who started once and blanked since. Switch it to ‘All players’ if you want the unfiltered list.
Points or Price?
Obviously, price is a huge factor in whether a player is a viable pick.
That means while the most expensive midfielders may seem like the best picks, cheaper assets often have better points per £m.
With that said, though, there is a trade-off between points and points per million.
If, for example, you have £7.0m in the bank and have a choice between a premium defender and a budget one, logically it would be the former you’d choose. This is because the budget defender will likely perform better in terms of points per million, but the premium should get more points.
That trade-off is the whole difficulty with the metric, and it is why the table also shows vs Position — how a player’s points per million compares with the average for their position. A defender measured against other defenders is a fairer question than a defender measured against a midfielder, because the two score in different ranges.
Then, there is the ‘points per game’ metric. This becomes relevant several gameweeks into the season when players have picked up injuries.
Naturally, those players are unlikely to sit highly on either points or points per million.
They could feature highly on the points per game, however. While their high score on this could be down to variance, it may also indicate a potentially good pick flying under the radar.
More FPL data
Value is only half the question — a cheap player is no use if he doesn’t play. Check our predicted lineups for starting chances, and our player form table to see who is delivering right now.
For what a player is likely to score next, rather than what they have scored already, use the FPL points predictor.