Elite ownership · 2025/26 Gameweek 38
No gameweek has locked in 2026/27 yet — showing the last squads the API made public. Fantasy Premier League keeps every squad private until a deadline passes, so the newest elite teams readable are the ones below — the top 1,000 managers as they finished 2025/26. The 2026/27 picture lands here the morning after the Gameweek 1 deadline.
Updated 13 August 2026, 03:00 UK · Source: Official FPL API
The players most often found in the top 1,000 squads at the Gameweek 38 deadline, next to how much of the whole game owned them. The purple bar is the elite share; the grey bar behind it is everyone.
| Player | Pos | Top 1,000 | Everyone | Gap | Armband | Share |
|---|---|---|---|---|---|---|
B.Fernandes MUN · £10.4m | MID | 99.6% | 48.0% | +51.6 | 41.4% | |
Gabriel ARS · £7.3m | DEF | 94.5% | 45.4% | +49.1 | — | |
O'Reilly MCI · £5.3m | DEF | 80.2% | 19.2% | +61.0 | — | |
Bowen WHU · £7.8m | FWD | 73.6% | 17.5% | +56.1 | 22.3% | |
Darlow LEE · £4.0m | GKP | 72.1% | 6.9% | +65.2 | — | |
Van Hecke BHA · £4.7m | DEF | 71.3% | 10.7% | +60.6 | — | |
Calvert-Lewin LEE · £5.8m | FWD | 68.1% | 13.7% | +54.4 | 0.1% | |
Verbruggen BHA · £4.6m | GKP | 68.0% | 9.3% | +58.7 | — | |
Tavernier BOU · £5.3m | MID | 59.4% | 4.2% | +55.2 | 0.1% | |
Semenyo MCI · £8.0m | MID | 54.4% | 46.2% | +8.2 | 0.1% | |
Haaland MCI · £14.7m | FWD | 51.6% | 62.5% | -10.9 | 18.5% | |
Hill BOU · £4.2m | DEF | 49.2% | 7.4% | +41.8 | — | |
Groß BHA · £5.6m | MID | 48.1% | 3.0% | +45.1 | 0.1% | |
Saka ARS · £10.0m | MID | 38.2% | 11.6% | +26.6 | 0.8% | |
João Pedro CHE · £7.4m | FWD | 34.4% | 34.8% | -0.4 | — | |
Senesi BOU · £5.2m | DEF | 34.2% | 22.0% | +12.2 | — | |
M.Salah LIV · £14.0m | MID | 27.9% | 15.2% | +12.7 | 10.2% | |
Raya ARS · £6.2m | GKP | 27.9% | 36.4% | -8.5 | — | |
Struijk LEE · £4.2m | DEF | 22.7% | 1.9% | +20.8 | — | |
Thiago BRE · £7.2m | FWD | 21.4% | 30.2% | -8.8 | 0.1% |
Owned by at least 10% of the elite and far less of everyone else — the widest gaps between the top of the table and the field. Darlow was the biggest: 72.1% of elite squads against 6.9% of the game.
| Player | Pos | Top 1,000 | Everyone | Gap | Share |
|---|---|---|---|---|---|
Darlow LEE · £4.0m | GKP | 72.1% | 6.9% | +65.2 | |
O'Reilly MCI · £5.3m | DEF | 80.2% | 19.2% | +61.0 | |
Van Hecke BHA · £4.7m | DEF | 71.3% | 10.7% | +60.6 | |
Verbruggen BHA · £4.6m | GKP | 68.0% | 9.3% | +58.7 | |
Bowen WHU · £7.8m | FWD | 73.6% | 17.5% | +56.1 | |
Tavernier BOU · £5.3m | MID | 59.4% | 4.2% | +55.2 | |
Calvert-Lewin LEE · £5.8m | FWD | 68.1% | 13.7% | +54.4 | |
B.Fernandes MUN · £10.4m | MID | 99.6% | 48.0% | +51.6 | |
Gabriel ARS · £7.3m | DEF | 94.5% | 45.4% | +49.1 | |
Groß BHA · £5.6m | MID | 48.1% | 3.0% | +45.1 | |
Hill BOU · £4.2m | DEF | 49.2% | 7.4% | +41.8 | |
Saka ARS · £10.0m | MID | 38.2% | 11.6% | +26.6 |
Players at least 10% of the game owned that the elite largely did not. A big negative gap is not proof a player is bad — but it is the clearest sign the top of the table has moved on and the field has not.
| Player | Pos | Top 1,000 | Everyone | Gap | Share |
|---|---|---|---|---|---|
Guéhi MCI · £5.1m | DEF | 7.6% | 32.6% | -25.0 | |
Virgil LIV · £6.1m | DEF | 11.7% | 31.5% | -19.8 | |
Dúbravka BUR · £4.0m | GKP | 8.3% | 25.7% | -17.4 | |
Rogers AVL · £7.3m | MID | 2.8% | 20.2% | -17.4 | |
Rice ARS · £7.2m | MID | 6.6% | 23.3% | -16.7 | |
Van de Ven TOT · £4.4m | DEF | 1.5% | 17.6% | -16.1 | |
Mbeumo MUN · £8.3m | MID | 0.7% | 15.0% | -14.3 | |
Cucurella CHE · £6.1m | DEF | 0.9% | 14.6% | -13.7 | |
Pickford EVE · £5.6m | GKP | 1.4% | 13.0% | -11.6 | |
Haaland MCI · £14.7m | FWD | 51.6% | 62.5% | -10.9 | |
Watkins AVL · £8.7m | FWD | 3.3% | 13.0% | -9.7 | |
Sánchez CHE · £4.8m | GKP | 0.7% | 10.3% | -9.6 |
The captain scores double, so the armband moves rank more than any transfer. “Captained by” is the decision they made at the deadline. “Scored for” is what came back: the share of the sample’s points that player was actually on, counting a captain twice — above his ownership when the pick paid, and marked in red below it when it didn’t.
| Player | Captained by | Owned by | Scored for | Share of armbands |
|---|---|---|---|---|
B.Fernandes MUN · £10.4m | 41.4% | 99.6% | 156% | |
Bowen WHU · £7.8m | 22.3% | 73.6% | 99% | |
Haaland MCI · £14.7m | 18.5% | 51.6% | 13% ↓ | |
M.Salah LIV · £14.0m | 10.2% | 27.9% | 38% | |
Marmoush MCI · £8.3m | 2.0% | 9.6% | 2% ↓ | |
Foden MCI · £8.0m | 1.0% | 3.1% | 4% | |
Saka ARS · £10.0m | 0.8% | 38.2% | 2% ↓ | |
Palmer CHE · £10.3m | 0.8% | 10.5% | 12% | |
Flemming BUR · £5.3m | 0.4% | 2.5% | 3% | |
Richarlison TOT · £6.5m | 0.4% | 8.5% | 9% |
Every transfer the sampled managers made for Gameweek 38. This is the only surface on the site that shows what the top of the table did with their free transfers, rather than what 13 million people did.
| Player | Bought by | Managers | Share |
|---|---|---|---|
Bowen WHU · £7.8m | 63.6% | 636 | |
M.Salah LIV · £14.0m | 27.9% | 279 | |
Pedro Porro TOT · £5.2m | 10.1% | 101 | |
Marmoush MCI · £8.3m | 9.7% | 97 | |
Szoboszlai LIV · £7.1m | 8.6% | 86 | |
Richarlison TOT · £6.5m | 7.9% | 79 | |
Gibbs-White NFO · £7.6m | 5.0% | 50 | |
Virgil LIV · £6.1m | 4.7% | 47 | |
Mavropanos WHU · £4.5m | 4.4% | 44 | |
Palmer CHE · £10.3m | 4.3% | 43 |
| Player | Sold by | Managers | Share |
|---|---|---|---|
Haaland MCI · £14.7m | 48.1% | 481 | |
Saka ARS · £10.0m | 34.8% | 348 | |
João Pedro CHE · £7.4m | 14.0% | 140 | |
Cherki MCI · £6.5m | 14.0% | 140 | |
O'Reilly MCI · £5.3m | 9.3% | 93 | |
Gyökeres ARS · £9.1m | 7.1% | 71 | |
Rice ARS · £7.2m | 4.5% | 45 | |
Thiago BRE · £7.2m | 4.3% | 43 | |
Semenyo MCI · £8.0m | 4.0% | 40 | |
Gabriel ARS · £7.3m | 2.6% | 26 |
How the sampled managers set up: which chips were played, and the formations underneath the XI.
Share of the 1,000 sampled squads. Bars are scaled for readability, not to 100%.
Defenders–midfielders–forwards in the XI. This is the shape each squad finished the gameweek in — automatic substitutions can change it when a starter doesn't play.
Fantasy Premier League publishes one ownership number: the percentage of all 13,107,732 managers who own each player. That number is the crowd. It tells you what is popular, not what is working. The more useful question — what are the people actually winning the game doing differently? — has no published answer, because every manager's squad has to be read one at a time.
So that is what this page does. Every night it reads the Overall league standings, takes the top 1,000 managers, and pulls each one's squad, captain, chip and transfers for the most recent locked gameweek. Those 1,000 squads are then counted up and set against the game-wide ownership from the same source. The gap column is the whole point: a player on 60% at the top of the table and 15% across the game is a player the best managers have found and the field has not.
The one-gameweek lag is not a delay we could fix. FPL keeps squads private until a gameweek's deadline passes — that is what stops managers copying each other before the whistle. It means the freshest elite team anyone can ever see, here or anywhere, is the one locked at the last deadline. This page names that gameweek at the top rather than implying it is showing you tonight's teams.
One more limit, and it is the reason you won't find a bench column here. Once a gameweek finishes, FPL rewrites each squad to its post-substitution state — a player who was picked to start but didn't appear is moved down to the bench in the data, and the armband passes to the vice-captain. That makes the XI a manager actually submitted impossible to read back afterwards. Two things do survive untouched: the fifteen players in the squad, and who was named captain. Those are the only decisions this page reports. Everything else here — “scored for”, the formations — is described as the result it is.
Two last things worth knowing. It is a sample of 1,000, not the entire top 1,000 — a handful of managers hide their squads or have deleted their accounts, and those are simply missing. And a high elite ownership is evidence, not instruction: these managers are near the top after a full season of decisions, but they also disagree with each other constantly, and the gap columns are most useful as a list of players to go and look at properly.
Pair it with projected points to see whether the elite pick is also the model's pick, check price changes before you follow a transfer, or head back to the FPL gameweek hub. All data from the Official FPL API, rebuilt nightly.