Datasets:

3zden
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fbref_football_player_performance_2024-2025

Unnamed: 0 int64 0 2.27k	Player stringlengths 3 26	Nation stringclasses 106 values	Position stringclasses 6 values	Age int64 15 41	Matches Played int64 1 38	Starts int64 0 38	Minutes stringlengths 1 5	90s Played float64 0 38	Goals int64 0 29	Assists int64 0 18	Goals + Assists int64 0 47	Non-Penalty Goals int64 0 24	Penalty Goals Made int64 0 9	Penalty Attempts int64 0 9	Yellow Cards int64 0 15	Red Cards int64 0 3	xG float64 0 27.1	npxG float64 0 24	xAG float64 0 14.2	npxG + xAG float64 0 32.4	Progressive Carries int64 0 181	Progressive Passes int64 0 360	Progressive Receives int64 0 488	Goals Per 90 float64 0 2.43	Assists Per 90 float64 0 1.01	Goals + Assists Per 90 float64 0 2.43	Non-Penalty Goals Per 90 float64 0 2.43	Non-Penalty Goals + Assists Per 90 float64 0 2.43	xG Per 90 float64 0 3.53	xAG Per 90 float64 0 2.47	xG + xAG Per 90 float64 0 3.53	npxG Per 90 float64 0 3.53	npxG + xAG Per 90 float64 0 3.53
0	Mohamed Salah	EGY	AT	32	38	38	3,371	37.5	29	18	47	20	9	9	1	0	25.2	18.2	14.2	32.4	154	144	488	0.77	0.48	1.25	0.53	1.01	0.67	0.38	1.05	0.49	0.87
1	Virgil van Dijk	NED	DF	33	37	37	3,330	37	3	1	4	3	0	0	5	0	2.2	2.2	0.7	3	22	198	6	0.08	0.03	0.11	0.08	0.11	0.06	0.02	0.08	0.06	0.08
2	Ryan Gravenberch	NED	MT	22	37	37	3,160	35.1	0	4	4	0	0	0	6	1	1.1	1.1	3.1	4.2	70	181	55	0	0.11	0.11	0	0.11	0.03	0.09	0.12	0.03	0.12
3	Alexis Mac Allister	ARG	MT	25	35	30	2,599	28.9	5	5	10	5	0	0	6	0	2.8	2.8	4.7	7.5	36	177	80	0.17	0.17	0.35	0.17	0.35	0.1	0.16	0.26	0.1	0.26
4	Ibrahima Konaté	FRA	DF	25	31	30	2,560	28.4	1	2	3	1	0	0	5	0	1.7	1.7	1	2.7	25	115	3	0.04	0.07	0.11	0.04	0.11	0.06	0.03	0.1	0.06	0.1
5	Dominik Szoboszlai	HUN	MT	23	36	29	2,491	27.7	6	6	12	6	0	0	6	0	7.3	7.3	7.4	14.7	72	131	127	0.22	0.22	0.43	0.22	0.43	0.27	0.27	0.53	0.27	0.53
6	Andrew Robertson	SCO	DF	30	33	29	2,482	27.6	0	1	1	0	0	0	3	1	1.2	1.2	4.6	5.8	64	176	108	0	0.04	0.04	0	0.04	0.04	0.17	0.21	0.04	0.21
7	Alisson	BRA	GB	31	28	28	2,508	27.9	0	0	0	0	0	0	0	0	0	0	0.6	0.6	0	1	0	0	0	0	0	0	0	0.02	0.02	0	0.02
8	Luis Díaz	COL	AT	27	36	28	2,399	26.7	13	5	18	13	0	0	2	0	12	12	5	17.1	108	110	293	0.49	0.19	0.68	0.49	0.68	0.45	0.19	0.64	0.45	0.64
9	Trent Alexander-Arnold	ENG	DF	25	33	28	2,365	26.3	3	6	9	3	0	0	5	0	1.9	1.9	7.3	9.2	51	232	94	0.11	0.23	0.34	0.11	0.34	0.07	0.28	0.35	0.07	0.35
10	Cody Gakpo	NED	AT	25	35	23	1,935	21.5	10	4	14	10	0	0	5	0	7.1	7.1	4.4	11.5	59	52	278	0.47	0.19	0.65	0.47	0.65	0.33	0.2	0.53	0.33	0.53
11	Curtis Jones	ENG	MT,DF	23	33	19	1,712	19	3	3	6	3	0	0	3	1	4.3	4.3	1.1	5.4	30	117	79	0.16	0.16	0.32	0.16	0.32	0.23	0.06	0.29	0.23	0.29
12	Diogo Jota	POR	AT	27	26	14	1,196	13.3	6	3	9	6	0	0	2	0	7.9	7.9	1.8	9.8	37	34	88	0.45	0.23	0.68	0.45	0.68	0.6	0.14	0.74	0.6	0.74
13	Caoimhín Kelleher	IRL	GB	25	10	10	900	10	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
14	Kostas Tsimikas	GRE	DF	28	18	9	837	9.3	0	1	1	0	0	0	2	0	0.4	0.4	2.1	2.5	17	76	43	0	0.11	0.11	0	0.11	0.04	0.23	0.27	0.04	0.27
15	Darwin Núñez	URU	AT	25	30	8	1,133	12.6	5	2	7	5	0	0	8	0	5.8	5.8	1.3	7.1	23	27	78	0.4	0.16	0.56	0.4	0.56	0.46	0.1	0.57	0.46	0.57
16	Conor Bradley	NIR	DF	21	19	7	754	8.4	0	2	2	0	0	0	4	0	0.7	0.7	1.4	2.1	35	33	39	0	0.24	0.24	0	0.24	0.08	0.17	0.25	0.08	0.25
17	Joe Gomez	ENG	DF	27	9	6	519	5.8	0	0	0	0	0	0	1	0	0.3	0.3	0.1	0.4	5	35	2	0	0	0	0	0	0.06	0.02	0.08	0.06	0.08
18	Jarell Quansah	ENG	DF	21	13	4	495	5.5	0	0	0	0	0	0	2	0	0.1	0.1	0.1	0.2	3	19	4	0	0	0	0	0	0.02	0.02	0.04	0.02	0.04
19	Harvey Elliott	ENG	MT	21	18	2	371	4.1	1	2	3	1	0	0	1	0	1.8	1.8	1.1	2.8	10	44	30	0.24	0.49	0.73	0.24	0.73	0.43	0.26	0.69	0.43	0.69
20	Wataru Endo	JPN	MT,DF	31	20	1	273	3	0	0	0	0	0	0	0	0	0	0	0.1	0.1	1	19	8	0	0	0	0	0	0	0.02	0.02	0	0.02
21	Federico Chiesa	ITA	AT	26	6	1	108	1.2	0	0	0	0	0	0	0	0	0.3	0.3	0.2	0.5	3	3	7	0	0	0	0	0	0.28	0.15	0.43	0.28	0.43
22	Vitezslav Jaros	CZE	GB	23	1	0	12	0.1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
23	Jayden Danns	ENG	MT	18	1	0	11	0.1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
24	Mohamed Salah	EGY	AT	32	38	38	3,371	37.5	29	18	47	20	9	9	1	0	25.2	18.2	14.2	32.4	154	144	488	0.77	0.48	1.25	0.53	1.01	0.67	0.38	1.05	0.49	0.87
25	Virgil van Dijk	NED	DF	33	37	37	3,330	37	3	1	4	3	0	0	5	0	2.2	2.2	0.7	3	22	198	6	0.08	0.03	0.11	0.08	0.11	0.06	0.02	0.08	0.06	0.08
26	Ryan Gravenberch	NED	MT	22	37	37	3,160	35.1	0	4	4	0	0	0	6	1	1.1	1.1	3.1	4.2	70	181	55	0	0.11	0.11	0	0.11	0.03	0.09	0.12	0.03	0.12
27	Alexis Mac Allister	ARG	MT	25	35	30	2,599	28.9	5	5	10	5	0	0	6	0	2.8	2.8	4.7	7.5	36	177	80	0.17	0.17	0.35	0.17	0.35	0.1	0.16	0.26	0.1	0.26
28	Ibrahima Konaté	FRA	DF	25	31	30	2,560	28.4	1	2	3	1	0	0	5	0	1.7	1.7	1	2.7	25	115	3	0.04	0.07	0.11	0.04	0.11	0.06	0.03	0.1	0.06	0.1
29	Dominik Szoboszlai	HUN	MT	23	36	29	2,491	27.7	6	6	12	6	0	0	6	0	7.3	7.3	7.4	14.7	72	131	127	0.22	0.22	0.43	0.22	0.43	0.27	0.27	0.53	0.27	0.53
30	Andrew Robertson	SCO	DF	30	33	29	2,482	27.6	0	1	1	0	0	0	3	1	1.2	1.2	4.6	5.8	64	176	108	0	0.04	0.04	0	0.04	0.04	0.17	0.21	0.04	0.21
31	Alisson	BRA	GB	31	28	28	2,508	27.9	0	0	0	0	0	0	0	0	0	0	0.6	0.6	0	1	0	0	0	0	0	0	0	0.02	0.02	0	0.02
32	Luis Díaz	COL	AT	27	36	28	2,399	26.7	13	5	18	13	0	0	2	0	12	12	5	17.1	108	110	293	0.49	0.19	0.68	0.49	0.68	0.45	0.19	0.64	0.45	0.64
33	Trent Alexander-Arnold	ENG	DF	25	33	28	2,365	26.3	3	6	9	3	0	0	5	0	1.9	1.9	7.3	9.2	51	232	94	0.11	0.23	0.34	0.11	0.34	0.07	0.28	0.35	0.07	0.35
34	Cody Gakpo	NED	AT	25	35	23	1,935	21.5	10	4	14	10	0	0	5	0	7.1	7.1	4.4	11.5	59	52	278	0.47	0.19	0.65	0.47	0.65	0.33	0.2	0.53	0.33	0.53
35	Curtis Jones	ENG	MT,DF	23	33	19	1,712	19	3	3	6	3	0	0	3	1	4.3	4.3	1.1	5.4	30	117	79	0.16	0.16	0.32	0.16	0.32	0.23	0.06	0.29	0.23	0.29
36	Diogo Jota	POR	AT	27	26	14	1,196	13.3	6	3	9	6	0	0	2	0	7.9	7.9	1.8	9.8	37	34	88	0.45	0.23	0.68	0.45	0.68	0.6	0.14	0.74	0.6	0.74
37	Caoimhín Kelleher	IRL	GB	25	10	10	900	10	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
38	Kostas Tsimikas	GRE	DF	28	18	9	837	9.3	0	1	1	0	0	0	2	0	0.4	0.4	2.1	2.5	17	76	43	0	0.11	0.11	0	0.11	0.04	0.23	0.27	0.04	0.27
39	Darwin Núñez	URU	AT	25	30	8	1,133	12.6	5	2	7	5	0	0	8	0	5.8	5.8	1.3	7.1	23	27	78	0.4	0.16	0.56	0.4	0.56	0.46	0.1	0.57	0.46	0.57
40	Conor Bradley	NIR	DF	21	19	7	754	8.4	0	2	2	0	0	0	4	0	0.7	0.7	1.4	2.1	35	33	39	0	0.24	0.24	0	0.24	0.08	0.17	0.25	0.08	0.25
41	Joe Gomez	ENG	DF	27	9	6	519	5.8	0	0	0	0	0	0	1	0	0.3	0.3	0.1	0.4	5	35	2	0	0	0	0	0	0.06	0.02	0.08	0.06	0.08
42	Jarell Quansah	ENG	DF	21	13	4	495	5.5	0	0	0	0	0	0	2	0	0.1	0.1	0.1	0.2	3	19	4	0	0	0	0	0	0.02	0.02	0.04	0.02	0.04
43	Harvey Elliott	ENG	MT	21	18	2	371	4.1	1	2	3	1	0	0	1	0	1.8	1.8	1.1	2.8	10	44	30	0.24	0.49	0.73	0.24	0.73	0.43	0.26	0.69	0.43	0.69
44	Wataru Endo	JPN	MT,DF	31	20	1	273	3	0	0	0	0	0	0	0	0	0	0	0.1	0.1	1	19	8	0	0	0	0	0	0	0.02	0.02	0	0.02
45	Federico Chiesa	ITA	AT	26	6	1	108	1.2	0	0	0	0	0	0	0	0	0.3	0.3	0.2	0.5	3	3	7	0	0	0	0	0	0.28	0.15	0.43	0.28	0.43
46	Vitezslav Jaros	CZE	GB	23	1	0	12	0.1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
47	Jayden Danns	ENG	MT	18	1	0	11	0.1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
48	David Raya	ESP	GB	28	38	38	3,420	38	0	0	0	0	0	0	3	0	0	0	0	0	0	14	0	0	0	0	0	0	0	0	0	0	0
49	William Saliba	FRA	DF	23	35	35	3,039	33.8	2	0	2	2	0	0	2	1	2.3	2.3	0.9	3.1	16	138	6	0.06	0	0.06	0.06	0.06	0.07	0.03	0.09	0.07	0.09
50	Declan Rice	ENG	MT	25	35	33	2,825	31.4	4	7	11	4	0	0	7	1	3.5	3.5	6.6	10.1	90	192	94	0.13	0.22	0.35	0.13	0.35	0.11	0.21	0.32	0.11	0.32
51	Thomas Partey	GHA	MT,DF	31	35	31	2,797	31.1	4	2	6	4	0	0	4	0	2.3	2.3	2.1	4.3	36	185	48	0.13	0.06	0.19	0.13	0.19	0.07	0.07	0.14	0.07	0.14
52	Leandro Trossard	BEL	AT	29	38	28	2,546	28.3	8	7	15	8	0	0	4	1	7.2	7.2	6.1	13.3	80	101	226	0.28	0.25	0.53	0.28	0.53	0.25	0.22	0.47	0.25	0.47
53	Gabriel Magalhães	BRA	DF	26	28	28	2,363	26.3	3	1	4	3	0	0	4	0	2.6	2.6	0.9	3.5	10	126	11	0.11	0.04	0.15	0.11	0.15	0.1	0.03	0.13	0.1	0.13
54	Jurriën Timber	NED	DF	23	30	27	2,417	26.9	1	3	4	1	0	0	7	0	1.2	1.2	0.8	2.1	57	146	104	0.04	0.11	0.15	0.04	0.15	0.05	0.03	0.08	0.05	0.08
55	Martin Ødegaard	NOR	MT	25	30	26	2,325	25.8	3	8	11	2	1	1	4	0	4.8	4	5.4	9.5	92	258	154	0.12	0.31	0.43	0.08	0.39	0.19	0.21	0.4	0.16	0.37
56	Mikel Merino	ESP	MT,AT	28	28	17	1,586	17.6	7	2	9	7	0	0	4	1	5.9	5.9	2	7.9	11	69	94	0.4	0.11	0.51	0.4	0.51	0.34	0.11	0.45	0.34	0.45
57	Myles Lewis-Skelly	ENG	DF	17	23	15	1,369	15.2	1	0	1	1	0	0	3	2	0.2	0.2	0.4	0.6	37	71	37	0.07	0	0.07	0.07	0.07	0.01	0.03	0.04	0.01	0.04
58	Ben White	ENG	DF	26	17	13	1,198	13.3	0	2	2	0	0	0	2	0	0.5	0.5	1.4	1.8	23	59	42	0	0.15	0.15	0	0.15	0.03	0.1	0.14	0.03	0.14
59	Riccardo Calafiori	ITA	DF	22	19	11	983	10.9	2	1	3	2	0	0	4	0	0.9	0.9	0.3	1.1	22	54	29	0.18	0.09	0.27	0.18	0.27	0.08	0.03	0.11	0.08	0.11
60	Jakub Kiwior	POL	DF	24	17	10	1,122	12.5	1	0	1	1	0	0	1	0	0.2	0.2	0.3	0.5	5	48	1	0.08	0	0.08	0.08	0.08	0.01	0.03	0.04	0.01	0.04
61	Jorginho	ITA	MT	32	15	9	704	7.8	0	0	0	0	0	0	5	0	0.1	0.1	0.4	0.5	12	48	6	0	0	0	0	0	0.01	0.05	0.06	0.01	0.06
62	Gabriel Jesus	BRA	AT	27	17	6	608	6.8	3	0	3	3	0	0	4	0	3	3	0.7	3.7	15	19	57	0.44	0	0.44	0.44	0.44	0.44	0.1	0.54	0.44	0.54
63	Nathan Butler-Oyedeji	ENG	AT	21	1	0	7	0.1	0	0	0	0	0	0	0	0	0.1	0.1	0	0.1	0	0	0	0	0	0	0	0	0.94	0	0.94	0.94	0.94
64	Takehiro Tomiyasu	JPN	DF	25	1	0	7	0.1	0	0	0	0	0	0	0	0	0.2	0.2	0	0.2	0	1	0	0	0	0	0	0	2.37	0	2.37	2.37	2.37
65	Reiss Nelson	ENG	AT	24	1	0	3	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
66	Bruno Guimarães	BRA	MT	26	38	38	3,271	36.3	5	6	11	5	0	0	7	0	4.3	4.3	6.1	10.4	64	271	96	0.14	0.17	0.3	0.14	0.3	0.12	0.17	0.29	0.12	0.29
67	Dan Burn	ENG	DF	32	37	37	3,330	37	1	1	2	1	0	0	11	0	2	2	0.9	2.8	12	75	14	0.03	0.03	0.05	0.03	0.05	0.05	0.02	0.08	0.05	0.08
68	Alexander Isak	SWE	AT	24	34	34	2,756	30.6	23	6	29	19	4	4	1	0	20.3	17.2	4.3	21.6	83	88	217	0.75	0.2	0.95	0.62	0.82	0.66	0.14	0.81	0.56	0.7
69	Fabian Schär	SUI	DF	32	34	33	2,934	32.6	4	0	4	4	0	0	9	1	3.7	3.7	0.4	4.1	18	118	22	0.12	0	0.12	0.12	0.12	0.11	0.01	0.13	0.11	0.13
70	Valentino Livramento	ENG	DF	21	37	32	2,840	31.6	0	1	1	0	0	0	1	0	0.3	0.3	2.6	2.9	83	158	119	0	0.03	0.03	0	0.03	0.01	0.08	0.09	0.01	0.09
71	Jacob Murphy	ENG	AT	29	35	31	2,360	26.2	8	12	20	8	0	0	4	0	5.7	5.7	8.9	14.6	79	83	231	0.31	0.46	0.76	0.31	0.76	0.22	0.34	0.56	0.22	0.56
72	Joelinton	BRA	MT,AT	27	29	29	2,393	26.6	4	3	7	4	0	0	10	0	3.9	3.9	2.5	6.4	40	116	110	0.15	0.11	0.26	0.15	0.26	0.15	0.09	0.24	0.15	0.24
73	Sandro Tonali	ITA	MT	24	36	28	2,630	29.2	4	2	6	4	0	0	5	0	4.4	4.4	2.2	6.6	37	128	53	0.14	0.07	0.21	0.14	0.21	0.15	0.07	0.22	0.15	0.22
74	Nick Pope	ENG	GB	32	28	28	2,520	28	0	0	0	0	0	0	2	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
75	Lewis Hall	ENG	DF	19	27	24	2,189	24.3	0	4	4	0	0	0	3	0	0.4	0.4	4.3	4.7	41	123	80	0	0.16	0.16	0	0.16	0.02	0.18	0.19	0.02	0.19
76	Harvey Barnes	ENG	AT	26	33	17	1,755	19.5	9	4	13	9	0	0	0	0	7.2	7.2	4	11.2	93	83	192	0.46	0.21	0.67	0.46	0.67	0.37	0.2	0.57	0.37	0.57
77	Kieran Trippier	ENG	DF	33	25	14	1,309	14.5	0	3	3	0	0	0	1	0	0.1	0.1	1.4	1.5	26	117	58	0	0.21	0.21	0	0.21	0.01	0.1	0.1	0.01	0.1
78	Joe Willock	ENG	MT,AT	24	32	11	1,086	12.1	0	2	2	0	0	0	4	0	1.6	1.6	2.1	3.8	38	41	86	0	0.17	0.17	0	0.17	0.14	0.18	0.31	0.14	0.31
79	Martin Dúbravka	SVK	GB	35	10	10	900	10	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
80	Sean Longstaff	ENG	MT	26	25	8	798	8.9	0	0	0	0	0	0	2	0	0.6	0.6	0.2	0.8	4	40	22	0	0	0	0	0	0.07	0.02	0.09	0.07	0.09
81	Sven Botman	NED	DF	24	8	6	412	4.6	0	0	0	0	0	0	1	0	0.5	0.5	0.5	1.1	0	7	0	0	0	0	0	0	0.12	0.12	0.24	0.12	0.24
82	Lloyd Kelly	ENG	DF	25	10	4	303	3.4	0	1	1	0	0	0	2	0	0.4	0.4	0.5	0.9	0	9	5	0	0.3	0.3	0	0.3	0.12	0.14	0.26	0.12	0.26
83	Callum Wilson	ENG	AT	32	18	2	370	4.1	0	0	0	0	0	0	1	0	0.4	0.4	0.1	0.5	5	4	17	0	0	0	0	0	0.09	0.03	0.12	0.09	0.12
84	Emil Krafth	SWE	DF	29	12	2	342	3.8	0	0	0	0	0	0	2	0	0	0	0.1	0.1	5	8	3	0	0	0	0	0	0.01	0.02	0.03	0.01	0.03
85	Lewis Miley	ENG	MT	18	14	1	313	3.5	1	0	1	1	0	0	0	0	0.5	0.5	0	0.6	2	17	8	0.29	0	0.29	0.29	0.29	0.16	0.01	0.16	0.16	0.16
86	Miguel Almirón	PAR	AT	30	9	1	157	1.7	0	0	0	0	0	0	0	0	0.5	0.5	0.3	0.8	3	6	18	0	0	0	0	0	0.3	0.15	0.45	0.3	0.45
87	William Osula	DEN	AT	20	14	0	134	1.5	1	0	1	1	0	0	0	0	0.2	0.2	0.1	0.3	5	4	17	0.67	0	0.67	0.67	0.67	0.11	0.1	0.21	0.11	0.21
88	Matt Targett	ENG	DF	28	2	0	21	0.2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0
89	Álex Remiro	ESP	GB	29	36	36	3,240	36	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0
90	Martín Zubimendi	ESP	MT	25	36	33	2,962	32.9	2	1	3	2	0	0	6	0	2.6	2.6	1.1	3.7	38	195	43	0.06	0.03	0.09	0.06	0.09	0.08	0.03	0.11	0.08	0.11
91	Sergio Gómez	ESP	MT,DF	23	37	31	2,738	30.4	2	5	7	2	0	0	4	0	1.9	1.9	8.9	10.8	43	93	154	0.07	0.16	0.23	0.07	0.23	0.06	0.29	0.35	0.06	0.35
92	Jon Aramburu	VEN	DF	22	35	28	2,460	27.3	1	1	2	1	0	0	8	0	0.4	0.4	1.1	1.6	26	97	53	0.04	0.04	0.07	0.04	0.07	0.02	0.04	0.06	0.02	0.06
93	Mikel Oyarzabal	ESP	AT	27	35	28	2,250	25	9	3	12	5	4	4	4	1	9.9	6.8	2.4	9.2	31	28	133	0.36	0.12	0.48	0.2	0.32	0.4	0.1	0.5	0.27	0.37
94	Takefusa Kubo	JPN	MT,AT	23	36	27	2,372	26.4	5	0	5	5	0	0	5	0	3.6	3.6	4.5	8	133	110	218	0.19	0	0.19	0.19	0.19	0.14	0.17	0.31	0.14	0.31
95	Igor Zubeldia	ESP	DF	27	28	27	2,269	25.2	0	0	0	0	0	0	6	1	0.6	0.6	0.4	1.1	22	101	3	0	0	0	0	0	0.02	0.02	0.04	0.02	0.04
96	Javi López	ESP	DF	22	29	21	1,936	21.5	0	0	0	0	0	0	4	0	0.1	0.1	0.4	0.5	36	73	64	0	0	0	0	0	0.01	0.02	0.03	0.01	0.03
97	Luka Sučić	CRO	MT	21	29	21	1,792	19.9	1	1	2	1	0	0	4	0	3.3	3.3	2.6	5.9	30	79	56	0.05	0.05	0.1	0.05	0.1	0.17	0.13	0.3	0.17	0.3
98	Nayef Aguerd	MAR	DF	28	21	21	1,760	19.6	0	0	0	0	0	0	5	0	2.4	2.4	0.1	2.5	26	75	1	0	0	0	0	0	0.12	0.01	0.13	0.12	0.13
99	Brais Méndez	ESP	MT	27	27	19	1,531	17	3	2	5	3	0	0	4	0	3.5	3.5	2	5.5	32	91	86	0.18	0.12	0.29	0.18	0.29	0.21	0.12	0.33	0.21	0.33

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FBref Football Player Performance Dataset (2024-2025 Season)

Dataset Description

This dataset contains comprehensive performance statistics for 2273 professional football players during the 2024-2025 season. Sourced from FBref, it includes both traditional metrics (goals, assists) and advanced analytics (xG, xAG, progressive actions) across top European leagues.

Curated by: FBref
License: Publicly available football statistics (check FBref terms for redistribution)
Update Frequency: Seasonal
Dataset Size: 2273 players × 33 features

Key Features

Player metadata: Name, nationality, position, age
Match participation: Matches played, starts, minutes
Goal contributions: Goals, assists, non-penalty goals
Expected metrics: xG, xAG, npxG, npxG+xAG
Progressive actions: Carries, passes, receives
Disciplinary records: Yellow/red cards
Per-90-minute metrics: 16 efficiency statistics

Supported Tasks

Player performance analysis
Transfer market valuation
Fantasy football optimization
Positional comparison (Attackers vs. Midfielders vs. Defenders)
Age-performance correlation studies

Dataset Structure

Data Fields

Field Name	Description	Type	Example
Player	Full player name	string	Mohamed Salah
Nation	Nationality	string	EGY
Position	Primary position(s)	string	AT (Attacker)
Age	Player age	int	32
Matches Played	Total appearances	int	38
Goals	Total goals scored	float	29
xG	Expected goals	float	25.2
Progressive Carries	Ball advancement via dribbling	int	154
Goals Per 90	Goals per 90 minutes	float	0.77
... (33 fields total)

Data Splits

Single comprehensive file (PlayersFBREF.csv)
No predefined train/validation/test splits (recommended for exploratory analysis)

Dataset Creation

Curation Rationale

This dataset was compiled to:

Provide standardized player performance metrics
Enable quantitative comparison across leagues
Support data-driven football analysis
Facilitate academic research in sports analytics

Source Data

Source: FBref (https://fbref.com)
Coverage: Premier League, La Liga, Serie A, Bundesliga, Ligue 1
Time Period: 2024-2025 season
Player Selection: All players with significant minutes (≥ 200 mins)

Preprocessing

International symbol standardization (e.g., "AT" for attacker)
Minutes formatting (e.g., "3,371" → 3371)
Per-90 metrics calculated from raw totals
Duplicate entries consolidated (e.g., Salah appears once)

Known Limitations

Contains European league bias
Goalkeeper statistics are limited
Position classifications may oversimplify hybrid roles
Set-piece contributions not isolated

Usage Considerations

Ethical Considerations

Player data is publicly available professional information
Performance metrics shouldn't be used for personal criticism
Age data requires careful interpretation in analysis

Potential Biases

League coverage favors top 5 European competitions
Playing time bias (bench players underrepresented)
Metric weighting favors offensive contributions

Recommended Use Cases

Academic sports research
Fantasy football optimization
Player scouting and talent identification
Football analytics education

Additional Information

Citation Information

@dataset{fbref_player_performance_2025,
  author = {FBref},
  year = {2025},
  title = {European Football Player Statistics 2024-2025},
  howpublished = {https://fbref.com}
}