fpl Tool · player stats · 2025/26 (last season)

FPL player stats — the whole database, free

Name: Fantasy Premier League player statistics — 2025/26
Creator: Bawler
Published: 2026-07-22
License: https://bawler.ai/terms

Every Premier League player, with the numbers that actually decide an FPL season: minutes and starts, goals and assists next to the chances behind them, expected goals and assists per 90, what his team were expected to concede while he played, defensive-contribution points, bonus, form over the last three, five and six gameweeks — and Bawler's own projection alongside. Sortable, filterable, no login and nothing paywalled.

Reading this before the season starts: Every number on this page is from 2025/26 — the last completed season. The new season has not kicked off, so this is not current form. It rebuilds against the new season as soon as a gameweek has been played. Prices and ownership are 2025/26 final values, and new signings appear once the official 2026/27 player list exists.

Top 50 by points, 2025/26

The season's highest scorers, with the columns that explain the total rather than just repeat it. G − xG is goals minus the chances behind them: a big positive number means he scored more than his chances suggest, which usually does not last, and a big negative one means the chances are there and the goals have not arrived yet.

#	Player	Club	Pos	Price	Mins	Starts	Pts	G	A	xG	xA	G − xG	xGI/90	Pts/£m
1	Haaland	MCI	FWD	£14.7m	2,953	34	239	27	8	25.5	2.7	+1.5	0.86	16.3
2	B.Fernandes	MUN	MID	£10.4m	3,065	35	235	9	24	10.8	12.3	−1.8	0.68	22.6
3	Gabriel	ARS	DEF	£7.3m	2,750	30	209	3	5	2.9	1.8	+0.1	0.15	28.6
4	Semenyo	MCI	MID	£8.0m	3,200	37	202	17	6	11.1	3.1	+5.9	0.40	25.3
5	Gibbs-White	NFO	MID	£7.6m	3,101	35	188	15	4	10.8	2.9	+4.2	0.40	24.7
6	Bowen	WHU	FWD	£7.8m	3,406	38	187	9	13	7.2	5.2	+1.8	0.33	24.0
7	Rice	ARS	MID	£7.2m	3,093	35	184	4	9	3.1	7.3	+0.9	0.30	25.6
8	Thiago	BRE	FWD	£7.2m	3,282	37	181	22	1	20.6	1.8	+1.4	0.62	25.1
9	Anderson	NFO	MID	£5.7m	3,332	37	180	4	5	2.9	4.8	+1.1	0.21	31.6
10	Guéhi	MCI	DEF	£5.1m	3,150	35	179	3	5	4.0	2.4	−1.0	0.18	35.1
11	João Pedro	CHE	FWD	£7.4m	2,658	31	177	15	9	14.9	2.0	+0.1	0.57	23.9
12	Virgil	LIV	DEF	£6.1m	3,420	38	175	6	1	3.8	1.4	+2.2	0.14	28.7
13	Senesi	BOU	DEF	£5.2m	3,288	37	175	0	6	1.5	4.7	−1.5	0.17	33.7
14	Tarkowski	EVE	DEF	£5.8m	3,330	37	170	2	3	2.5	2.1	−0.5	0.13	29.3
15	Rogers	AVL	MID	£7.3m	3,280	37	169	10	8	6.8	4.3	+3.2	0.31	23.2
16	Wilson	FUL	MID	£5.8m	2,674	32	168	10	9	5.9	4.8	+4.1	0.36	29.0
17	Watkins	AVL	FWD	£8.7m	2,833	33	167	16	4	15.4	1.2	+0.6	0.53	19.2
18	Truffert	BOU	DEF	£4.8m	3,378	38	165	1	6	1.4	3.1	−0.4	0.12	34.4
19	Casemiro	MUN	MID	£5.8m	2,575	33	165	9	4	5.4	3.2	+3.6	0.30	28.4
20	Raya	ARS	GKP	£6.2m	3,330	37	162	0	0	0.0	0.1	0.0	0.00	26.1
21	Szoboszlai	LIV	MID	£7.1m	3,232	36	160	6	7	4.8	6.8	+1.2	0.32	22.5
22	O'Reilly	MCI	DEF	£5.3m	2,643	29	160	5	4	6.1	2.7	−1.1	0.30	30.2
23	Garner	EVE	MID	£5.2m	3,413	38	159	2	7	2.1	6.2	−0.1	0.22	30.6
24	Enzo	CHE	MID	£6.5m	3,114	35	157	10	5	11.3	7.3	−1.3	0.54	24.2
25	Saka	ARS	MID	£10.0m	2,218	25	157	7	10	7.6	7.2	−0.6	0.60	15.7
26	Lacroix	CRY	DEF	£5.2m	3,085	35	154	1	2	2.5	0.8	−1.5	0.10	29.6
27	Matheus N.	MCI	DEF	£5.3m	2,861	32	154	1	8	0.3	2.2	+0.7	0.08	29.1
28	Bruno G.	NEW	MID	£6.9m	2,456	27	154	9	7	5.6	5.0	+3.4	0.39	22.3
29	Mukiele	SUN	DEF	£4.6m	2,784	32	151	3	5	1.6	2.6	+1.4	0.14	32.8
30	Dewsbury-Hall	EVE	MID	£5.3m	2,629	30	151	8	7	4.3	5.3	+3.7	0.33	28.5
31	J.Timber	ARS	DEF	£6.0m	2,452	28	149	3	6	4.7	1.5	−1.7	0.23	24.8
32	Van Hecke	BHA	DEF	£4.7m	3,210	36	148	3	3	3.3	1.6	−0.3	0.14	31.5
33	Mbeumo	MUN	MID	£8.3m	2,611	31	148	11	3	12.0	5.0	−1.0	0.58	17.8
34	E.Le Fée	SUN	MID	£4.8m	2,930	33	147	5	6	5.2	6.0	−0.2	0.34	30.6
35	Gravenberch	LIV	MID	£5.4m	2,991	34	144	5	5	1.9	2.3	+3.1	0.12	26.7
36	Kelleher	BRE	GKP	£4.8m	3,330	37	143	0	0	0.0	0.2	0.0	0.01	29.8
37	Cunha	MUN	MID	£8.1m	2,493	29	143	10	4	6.9	3.4	+3.1	0.37	17.7
38	Calvert-Lewin	LEE	FWD	£5.8m	2,721	30	142	14	2	15.6	1.1	−1.6	0.55	24.5
39	Tavernier	BOU	MID	£5.3m	2,732	31	137	7	4	9.1	4.6	−2.1	0.45	25.8
40	Saliba	ARS	DEF	£6.3m	2,614	30	137	1	0	0.9	1.2	+0.1	0.07	21.7
41	Stach	LEE	MID	£4.8m	2,369	28	137	5	6	2.9	4.5	+2.1	0.28	28.5
42	Roefs	SUN	GKP	£4.8m	3,150	35	136	0	0	0.0	0.1	0.0	0.00	28.3
43	Scott	BOU	MID	£4.9m	2,848	34	136	3	2	3.8	2.9	−0.8	0.21	27.8
44	Chalobah	CHE	DEF	£5.4m	2,780	31	136	3	1	1.4	1.0	+1.6	0.08	25.2
45	Muñoz	CRY	DEF	£5.9m	2,400	29	136	4	4	2.5	3.9	+1.5	0.24	23.1
46	O.Dango	BRE	MID	£5.6m	2,271	25	136	7	8	7.9	4.1	−0.9	0.48	24.3
47	Pickford	EVE	GKP	£5.6m	3,420	38	135	0	0	0.0	0.2	0.0	0.01	24.1
48	Mitchell	CRY	DEF	£5.0m	3,253	36	135	1	3	1.6	2.5	−0.6	0.11	27.0
49	Donnarumma	MCI	GKP	£5.6m	3,060	34	135	0	0	0.0	0.1	0.0	0.00	24.1
50	M.Fernandes	WHU	MID	£5.5m	3,017	35	135	3	4	2.0	3.0	+1.0	0.15	24.5

The full database — every player, every column

All 625 players in the pool. Switch between the attacking, defending, minutes and projection views, filter by position, club, price, ownership and minutes played, and sort on any column.

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How to read these numbers

Minutes first

A player who does not start cannot score. Minutes, starts and 60-plus appearances come before anything else on this page — the difference between a nailed £5m starter and a rotating £7m name is usually worth more than the difference in their attacking numbers.

Goals against chances

xG adds up what every chance a player had was worth. Compare it to his actual goals and you get the most useful signal in fantasy football: whether the returns are built on something repeatable. Big overperformance tends to shrink; big underperformance tends to correct.

Per 90, not per season

A substitute with four goals in 600 minutes is doing something a starter with six in 3,000 is not. Per-90 columns put everyone on the same footing — but they get noisy fast on small samples, so anything under 180 minutes shows a dash instead of a number.

Clean sheets and what was behind them

Defenders and keepers live on clean sheets, so the column that matters is what their team were expected to concede while they were on the pitch. A defender in a leaky side can keep three clean sheets and still be a bad hold.

Defensive contribution

The newest way to score in FPL: two points for hitting a threshold of tackles, blocks, interceptions and recoveries. The DefCon % column is how often a player actually hit it, which is why some cheap centre-backs are now genuinely good picks.

Form windows

Last three, five and six gameweeks, next to the season total. Short windows are noisy — six gameweeks can flatter almost anyone — but a player whose season total is carried by one purple patch reads very differently from one who scored steadily.

Individual player pages are generated for the 336 players with at least 900 minutes — ten full matches — of Premier League football behind them. Below that there is not enough football to say anything a table row does not already say. Those 336 players each have a page of their own — the full gameweek-by-gameweek log, home and away splits, price history and where they rank among their position. Click any linked name in the table above.

Where to go next

Predicted points — the projection model behind the xPts column, published with its full backtest.
Fixture difficulty — the run ratings behind the Next 5 strip.
Best FPL team — the highest-projected legal XI the model can build from this pool.
Differentials — high projections the crowd does not own yet.
Price changes — last night's risers and fallers.

Method & sources

Every figure is computed from the Official FPL API's per-gameweek player histories — the same rows the game itself scores — and rebuilt nightly. Expected goals, expected assists and expected goals conceded are FPL's own published values. Nothing is scraped from another fantasy site. The xPts and big-haul columns come from Bawler's projection model, whose walk-forward accuracy is published in full on predicted points.

FPL is a free fantasy game — this is points analytics, not betting advice.

Updated 13 August 2026, 15:45 UK · Source: Official FPL API