Generation Football - Football Stats, Players & Teams

Matches on Day
UEFA Champions League
21:00 NS	Arsenal	-	Atletico Madrid
CONMEBOL Libertadores
00:00 NS	Rosario Central	-	Libertad Asuncion
00:00 NS	Sporting Cristal	-	Palmeiras
Eredivisie
18:45 NS	Waalwijk	-	Willem II
Scottish Premiership
20:45 NS	Unknown	-	Unknown
Saudi Super League
20:00 NS	Al Khaleej Saihat	-	Al-Hilal Saudi FC

Standings

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Leagues

#		P	W	D	L	Goals	xG	Pts	xPts
1	Arsenal	35	23	7	5	67 : 26	60 : 26	76	68.29
2	Manchester City	34	21	8	5	69 : 32	61 : 39	71	60.33
3	Manchester United	35	18	10	7	63 : 48	57 : 43	64	55.24
4	Liverpool	35	17	7	11	59 : 47	55 : 42	58	55.92
5	Aston Villa	35	17	7	11	48 : 44	41 : 50	58	42.41
6	Bournemouth	35	12	16	7	55 : 52	60 : 51	52	54.26
7	Brentford	35	14	9	12	52 : 46	56 : 46	51	52.89
8	Brighton	35	13	11	11	49 : 42	52 : 46	50	51.45
9	Fulham	35	14	6	15	44 : 49	43 : 49	48	44.21
10	Chelsea	35	13	9	13	54 : 48	63 : 48	48	55
11	Everton	35	13	9	13	44 : 44	43 : 51	48	42.48
12	Sunderland	35	12	11	12	37 : 46	34 : 51	47	37.58
13	Newcastle	35	13	6	16	49 : 51	53 : 47	45	51.26
14	Crystal Palace	34	11	10	13	36 : 42	51 : 45	43	49.92
15	Leeds	35	10	13	12	47 : 52	49 : 48	43	50.37
16	Nottingham Forest	35	11	9	15	44 : 46	40 : 48	42	43.04
17	Tottenham	35	9	10	16	45 : 54	37 : 49	37	41.64
18	West Ham	35	9	9	17	42 : 61	41 : 54	36	40.07
19	Burnley	35	4	8	23	35 : 71	29 : 70	20	24.62
20	Wolves	35	3	9	23	25 : 63	31 : 54	18	34.86

Current Premier League standings, showing points, goal difference and recent form to help track qualification and elimination positions. Click on MORE for full league details, fixtures and historical performance.
Expected Points (xPts) estimate how many points a team deserved from a match based on performance rather than the final score. We calculate xPts using expected goals (xG) and a Poisson probability model to estimate the likelihood of every possible scoreline. From these probabilities, we derive the chances of winning, drawing, or losing the match. Expected Points are then calculated as (win probability × 3) + (draw probability × 1), giving a more objective view of results over time and helping identify teams that are over- or under-performing.

Top Players

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Leagues

	Apps P	Goals G	NPG	Assists A	GA	GA/90 GA90	Rating Rat.	Mins	Pens	Pens Miss	Shots Total	Shots OnTarget	Drib. Att	Drib. Succ	Drib. Past	Duels Total	Duels Won	Key Passes	Fouls Ag.	Fouls Comm.	Blocks	Interc.	Tackles
Harry Kane Striker	29	33	25	5	38	1.53	7.83	2229	8	0	85	62	46	29	13	224	115	38	32	24	5	7	16	1	0
Luis Javier Suárez Striker	29	25	21	6	31	1.13	7.33	2471	4	2	101	57	65	32	9	256	117	43	47	39	2	2	15	6	0
Erling Haaland Striker	33	25	22	7	32	1.01	7.37	2848	3	1	96	54	29	14	3	233	125	22	25	24	1	5	15	2	0
Ayase Ueda Striker	30	24	23	1	25	0.91	7.18	2469	1	0	83	44	27	7	3	323	167	19	57	25	1	3	11	2	0
Kylian Mbappé Striker	28	24	16	4	28	1.04	7.58	2426	8	1	100	61	136	74	8	236	116	63	31	13	0	3	4	4	0
Vangelis Pavlidis Striker	31	22	14	4	26	0.91	7.02	2569	8	1	75	45	45	13	10	316	132	34	40	14	1	2	18	3	0
Igor Thiago Striker	35	22	14	1	23	0.67	7.02	3093	8	1	63	41	46	27	15	473	184	21	24	65	5	11	33	7	0
Vedat Muriqi Striker	33	21	16	1	22	0.71	7.06	2796	5	2	82	44	23	14	6	409	211	16	58	37	5	3	7	3	1
Yanis Begraoui Striker	32	20	16	1	21	0.74	6.94	2555	4	0	59	34	58	23	7	223	83	19	28	23	2	8	12	1	0
Esteban Lepaul Striker	32	19	17	5	24	0.85	7.03	2539	2	1	61	34	23	9	8	172	66	20	15	25	0	2	5	3	0

Top players across the selected leagues, ranked by goals, assists, ratings and non-penalty goals to highlight consistent attacking impact rather than isolated performances. Filter players by league by pressing the League button and extending the list of available leagues.
Visit the Players page for advanced filters and detailed per-match statistics.

Top Teams

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Leagues

Teams		Form	PlayedP	Goals		xG		Corners		Shots
Teams		Form	PlayedP	For	Ag	For	Ag	For	Ag	For	Ag
	Barcelona		34	89	31	81.1	41.8	240	143	237	121
	FC Porto		32	64	15	57.8	21.5	177	93	169	77
	Lyon		32	52	34	46.9	41.6	172	155	151	124
	Nottingham Forest		35	44	46	40.3	48	184	172	141	145
	Bayern München		32	116	35	92.7	36.2	208	109	272	98
	Inter		35	82	31	64.9	30.9	226	102	211	98
	Rennes		32	56	46	48.4	48.6	184	150	158	134
	RB Leipzig		32	63	42	62.3	47.2	175	141	193	127
	Bayer Leverkusen		32	66	43	60.2	40.3	176	130	161	155
	Twente		32	54	35	58.9	34.5	164	127	203	117

Top teams from the seven major European leagues, ranked by win percentage, recent form and key performance metrics to identify the strongest sides over time. Filter displayed teams by league by pressing the League button and extending the list of available leagues.
Visit the Top Teams page for deeper team statistics or click a team to view the full squad.