MLS advanced stats, 2026

Name: MLS advanced stats, 2026
Creator: StatsNext
License: https://statsnext.com/terms

Per-90 production, passing, duels and goalkeeping for 400 MLS players in the 2026 season, with every club’s chance quality, defending and style ranked among the 30 clubs. Highest among players with a full role: goals per 90, Hugo Cuypers (CHI, 1.08); assists per 90, Justin Ellis (ORL, 0.61); key passes per 90, Timo Werner (SJ, 3.48). Best expected-goal difference per match: Vancouver Whitecaps (+1.21). Every table sorts by any column.

Statistics through October 14, 2026 · Updated October 16, 2026 at 12:29 AM ET · StatsNext match records

Scoring and shooting per 90

2026 MLS scoring and shooting per 90
Player	Club	Apps	MIN	G/90	A/90	G+A/90	xG/90	xA/90	SH/90	SOT/90	SOT%	G/SH
Hugo Cuypers	CHI	11	998	1.08	0.00	1.08	0.75	0.06	3.61	1.98	55.0%	30.0%
Petar Musa	DAL	25	1830	0.93	0.25	1.18	0.67	0.11	4.03	2.07	51.2%	23.2%
Sam Surridge	NSH	22	1738	0.88	0.00	0.88	0.67	0.08	3.06	1.61	52.5%	28.8%
Lionel Messi	MIA	25	2225	0.85	0.49	1.33	0.73	0.44	6.43	2.55	39.6%	13.2%
Antoine Griezmann	ORL	12	1068	0.84	0.25	1.10	0.45	0.32	2.87	1.43	50.0%	29.4%
Luis Suárez	MIA	24	1772	0.76	0.25	1.02	0.61	0.24	2.49	1.52	61.2%	30.6%
Tai Baribo	DC	22	1850	0.73	0.05	0.78	0.63	0.08	2.43	1.12	46.0%	30.0%
Kévin Denkey	CIN	26	2113	0.72	0.13	0.85	0.68	0.10	2.90	1.41	48.5%	25.0%
Kelvin Yeboah	MIN	27	2028	0.71	0.09	0.80	0.71	0.08	3.02	1.33	44.1%	23.5%
Brian White	VAN	25	2041	0.71	0.09	0.79	0.70	0.08	3.62	1.72	47.6%	19.5%
Logan Farrington	DAL	26	1369	0.66	0.20	0.85	0.44	0.08	2.83	1.25	44.2%	23.3%
Martín Ojeda	ORL	22	1799	0.65	0.10	0.75	0.52	0.26	3.40	1.70	50.0%	19.1%
Tom Barlow	CIN	27	1108	0.65	0.16	0.81	0.40	0.07	2.11	1.38	65.4%	30.8%
Denis Bouanga	LAFC	28	2396	0.64	0.19	0.83	0.46	0.26	3.27	1.65	50.6%	19.5%
Preston Judd	SJ	26	1894	0.62	0.14	0.76	0.54	0.07	3.33	1.62	48.6%	18.6%
Evander	CIN	24	1904	0.61	0.47	1.09	0.38	0.41	3.97	1.75	44.0%	15.5%
Guilherme Augusto	HOU	26	2214	0.61	0.28	0.89	0.25	0.20	2.93	1.26	43.1%	20.8%
Tyrese Spicer	ORL	22	918	0.59	0.10	0.69	0.47	0.13	3.24	1.27	39.4%	18.2%
Marcus Ingvartsen	SD	24	1687	0.59	0.16	0.75	0.40	0.13	3.04	1.07	35.1%	19.3%
Milan Iloski	PHI	28	2313	0.58	0.08	0.66	0.56	0.19	4.09	1.52	37.1%	14.3%
Prince Owusu	MTL	25	2078	0.56	0.26	0.82	0.48	0.20	2.73	1.26	46.0%	20.6%
David Martínez	LAFC	18	963	0.56	0.00	0.56	0.33	0.11	2.62	1.12	42.9%	21.4%
Nicolás Fernández	NYC	27	2413	0.56	0.15	0.71	0.30	0.24	2.72	1.53	56.2%	20.5%
Christian Ramírez	ATX	24	1157	0.54	0.16	0.70	0.25	0.06	1.87	0.93	50.0%	29.2%
Kevin Kelsy	POR	19	1180	0.53	0.15	0.69	0.65	0.11	3.05	1.07	35.0%	17.5%
Timo Werner	SJ	16	1035	0.52	0.43	0.96	0.49	0.37	2.52	1.39	55.2%	20.7%
Idan Toklomati	CLT	28	2129	0.51	0.13	0.63	0.42	0.04	1.86	0.93	50.0%	27.3%
Hany Mukhtar	NSH	28	2341	0.50	0.27	0.77	0.46	0.18	3.38	1.38	40.9%	14.8%
Daniel Ríos	MTL	23	912	0.49	0.00	0.49	0.44	0.07	2.17	1.18	54.5%	22.7%
Sebastian Berhalter	VAN	14	1134	0.48	0.32	0.79	0.26	0.38	2.54	0.71	28.1%	18.8%
Maren Haile-Selassie	CHI	27	1900	0.47	0.24	0.71	0.26	0.22	2.27	1.04	45.8%	20.8%
Robert Lewandowski	CHI	13	951	0.47	0.19	0.66	0.39	0.05	2.46	0.95	38.5%	19.2%
Bruno Damiani	PHI	28	2166	0.46	0.12	0.58	0.38	0.07	2.62	0.83	31.7%	17.5%
Thomas Müller	VAN	21	1577	0.46	0.29	0.74	0.33	0.38	2.05	1.14	55.6%	22.2%
Diego Rossi	CLB	12	998	0.45	0.00	0.45	0.36	0.14	2.98	0.81	27.3%	15.2%
Anders Dreyer	SD	27	2409	0.45	0.41	0.86	0.46	0.33	3.14	1.46	46.4%	14.3%
Carles Gil	NE	27	2431	0.44	0.19	0.63	0.37	0.23	2.00	1.00	50.0%	22.2%
Sergi Solans	RSL	26	1848	0.44	0.15	0.58	0.56	0.09	2.63	1.12	42.6%	16.7%
Pep Biel	CLT	28	2477	0.44	0.29	0.73	0.29	0.31	2.11	0.84	39.7%	20.7%
Ariel Lassiter	POR	22	1062	0.42	0.34	0.76	0.24	0.22	2.12	0.93	44.0%	20.0%
Julian Hall	RBNY	28	2396	0.41	0.11	0.53	0.56	0.08	2.29	1.24	54.1%	18.0%
Josh Sargent	TOR	20	1534	0.41	0.12	0.53	0.40	0.11	2.99	1.06	35.3%	13.7%
Jorge Ruvalcaba	RBNY	27	1838	0.39	0.05	0.44	0.26	0.19	2.79	0.93	33.3%	14.0%
Hannes Wolf	NYC	22	1387	0.39	0.13	0.52	0.21	0.10	1.82	0.78	42.9%	21.4%
Marco Reus	LA	27	1901	0.38	0.43	0.80	0.40	0.26	1.99	0.95	47.6%	19.0%
Cavan Sullivan	PHI	26	1667	0.38	0.38	0.76	0.27	0.22	3.08	1.40	45.6%	12.3%
Liel Abada	CLT	22	1202	0.37	0.37	0.75	0.36	0.13	2.62	1.57	60.0%	14.3%
Simon Becher	STL	27	1929	0.37	0.14	0.51	0.51	0.08	2.85	1.21	42.6%	13.1%
Gabriel Pec	LA	14	1220	0.37	0.30	0.66	0.39	0.25	4.28	2.14	50.0%	8.6%
Dor Turgeman	NE	27	2211	0.37	0.28	0.65	0.38	0.08	2.52	1.02	40.3%	14.5%
Diego Luna	RSL	18	1239	0.36	0.22	0.58	0.24	0.29	2.47	0.80	32.4%	14.7%
Louis Munteanu	DC	21	1506	0.36	0.12	0.48	0.37	0.16	3.88	1.43	36.9%	9.2%
Germán Berterame	MIA	25	2032	0.35	0.27	0.62	0.46	0.14	2.44	0.97	40.0%	14.5%
Peyton Miller	NE	25	1803	0.35	0.30	0.65	0.36	0.22	3.00	1.45	48.3%	11.7%
Marcel Hartel	STL	15	1293	0.35	0.21	0.56	0.33	0.33	3.90	1.60	41.1%	8.9%
Kenji Mboma Dem	CIN	22	1301	0.35	0.07	0.42	0.22	0.13	2.77	0.76	27.5%	12.5%
Wikelman Carmona	MTL	19	1071	0.34	0.17	0.50	0.20	0.15	2.27	0.76	33.3%	14.8%
Santiago Moreno	DAL	23	1073	0.34	0.25	0.59	0.29	0.36	1.76	0.92	52.4%	19.0%
Derrick Etienne Jr.	TOR	21	1120	0.32	0.08	0.40	0.22	0.07	1.61	0.96	60.0%	20.0%
Neil Pierre	PHI	13	1132	0.32	0.00	0.32	0.19	0.09	1.19	0.40	33.3%	26.7%
Myrto Uzuni	ATX	21	1712	0.32	0.05	0.37	0.32	0.11	2.42	1.00	41.3%	13.0%
Emmanuel Sabbi	VAN	22	1150	0.31	0.23	0.55	0.36	0.19	3.37	1.25	37.2%	9.3%
David Vazquez	SD	18	872	0.31	0.00	0.31	0.25	0.12	2.17	0.62	28.6%	14.3%
Kristoffer Velde	POR	27	2329	0.31	0.23	0.54	0.18	0.24	3.25	1.00	31.0%	9.5%
Mateo Silvetti	MIA	14	881	0.31	0.41	0.72	0.19	0.23	2.76	1.12	40.7%	11.1%
Djordje Mihailovic	TOR	13	903	0.30	0.50	0.80	0.27	0.23	2.29	1.20	52.2%	13.0%
Miguel Almirón	ATL	22	1879	0.29	0.19	0.48	0.37	0.26	2.78	1.05	37.9%	10.3%
Son Heung-Min	LAFC	27	2203	0.29	0.49	0.78	0.36	0.19	3.96	1.14	28.9%	7.2%
Amahl Pellegrino	SD	20	946	0.29	0.10	0.38	0.33	0.17	1.71	0.95	55.6%	16.7%
Anthony Markanich	MIN	27	2243	0.28	0.08	0.36	0.20	0.13	1.73	0.68	39.5%	16.3%
Cristian Roldan	SEA	20	1602	0.28	0.06	0.34	0.09	0.07	1.52	0.45	29.6%	18.5%
Taylor Calheira	SKC	20	977	0.28	0.18	0.46	0.39	0.10	2.67	1.20	44.8%	10.3%
Mateusz Bogusz	HOU	26	2287	0.28	0.04	0.31	0.33	0.10	3.27	1.18	36.1%	8.4%
Joseph Paintsil	LA	22	1655	0.27	0.16	0.43	0.31	0.17	2.18	1.09	50.0%	12.5%
Kerwin Vargas	CLT	17	998	0.27	0.36	0.63	0.23	0.07	1.98	0.90	45.5%	13.6%
Paul Rothrock	SEA	21	1685	0.27	0.05	0.32	0.19	0.14	1.60	0.69	43.3%	16.7%
Luca Langoni	NE	19	1021	0.26	0.53	0.79	0.17	0.14	2.47	1.06	42.9%	10.7%
Darren Yapi	COL	28	1399	0.26	0.13	0.39	0.31	0.12	1.99	0.64	32.3%	12.9%
Alhassan Yusuf	NE	23	1772	0.25	0.05	0.30	0.16	0.09	1.02	0.30	30.0%	25.0%
Ousseni Bouda	SJ	28	2127	0.25	0.04	0.30	0.23	0.13	1.86	0.72	38.6%	13.6%
Pavel Bucha	CIN	26	2176	0.25	0.17	0.41	0.10	0.14	0.99	0.41	41.7%	25.0%
Casemiro	MIA	12	1093	0.25	0.00	0.25	0.04	0.06	0.66	0.33	50.0%	37.5%
Alexey Miranchuk	ATL	27	2201	0.25	0.25	0.49	0.25	0.22	1.96	0.65	33.3%	12.5%
Max Arfsten	CLB	17	1471	0.24	0.24	0.49	0.22	0.18	1.28	0.61	47.6%	19.0%
Robin Lod	CHI	24	1500	0.24	0.12	0.36	0.28	0.15	1.38	0.60	43.5%	17.4%
Paxten Aaronson	COL	28	2314	0.23	0.23	0.47	0.18	0.19	2.06	0.86	41.5%	11.3%
Wilfried Zaha	CLT	13	1169	0.23	0.08	0.31	0.25	0.20	2.16	1.08	50.0%	10.7%
Philip Zinckernagel	CHI	26	2056	0.22	0.35	0.57	0.32	0.32	3.24	1.01	31.1%	6.8%
Rodrigo De Paul	MIA	23	2089	0.22	0.39	0.60	0.12	0.33	1.38	0.56	40.6%	15.6%
Cristian Espinoza	NSH	24	1765	0.20	0.56	0.76	0.15	0.35	1.68	0.66	39.4%	12.1%
Cheick Sabaly	VAN	20	889	0.20	0.10	0.30	0.29	0.17	2.02	0.71	35.0%	10.0%
Daniel Munie	SJ	25	2227	0.20	0.04	0.24	0.14	0.04	0.61	0.32	53.3%	33.3%
Nathan Ordaz	DC	20	898	0.20	0.10	0.30	0.19	0.06	1.30	0.50	38.5%	15.4%
Agustin Ojeda	NYC	28	2279	0.20	0.36	0.55	0.14	0.17	1.34	0.51	38.2%	14.7%
Tomás Chancalay	MIN	28	1824	0.20	0.15	0.35	0.24	0.20	2.86	0.89	31.0%	6.9%
David Da Costa	POR	23	1899	0.19	0.24	0.43	0.09	0.17	1.09	0.43	39.1%	17.4%
Taha Habroune	CLB	27	1900	0.19	0.14	0.33	0.16	0.24	1.18	0.52	44.0%	16.0%
Daniel Musovski	SEA	21	951	0.19	0.00	0.19	0.32	0.04	2.18	0.95	43.5%	8.7%
Brandon Vázquez	ATX	17	957	0.19	0.09	0.28	0.33	0.03	3.10	1.41	45.5%	6.1%
Antony	POR	25	1477	0.18	0.12	0.30	0.21	0.07	2.13	0.49	22.9%	8.6%
Iván Angulo	ORL	28	2468	0.18	0.18	0.36	0.18	0.14	0.73	0.51	70.0%	25.0%
Aiden Hezarkhani	RSL	23	991	0.18	0.00	0.18	0.12	0.07	1.91	0.73	38.1%	9.5%
Niko Tsakiris	SJ	19	1489	0.18	0.42	0.60	0.28	0.23	1.69	0.48	28.6%	10.7%
Brayan Ceballos	MTL	15	995	0.18	0.00	0.18	0.04	0.03	0.36	0.18	50.0%	50.0%
Albert Rusnák	SEA	26	2028	0.18	0.35	0.53	0.27	0.21	2.31	0.80	34.6%	7.7%
Onni Valakari	SD	27	2035	0.18	0.22	0.40	0.21	0.13	1.28	0.53	41.4%	13.8%
Marco Pasalic	ORL	19	1024	0.18	0.00	0.18	0.13	0.11	2.02	0.53	26.1%	8.7%
Tristan Muyumba	ATL	28	2049	0.18	0.00	0.18	0.10	0.12	1.19	0.40	33.3%	14.8%
Ahmed Qasim	NSH	22	1027	0.18	0.09	0.26	0.11	0.06	1.49	0.61	41.2%	11.8%
Kaick	DAL	28	2105	0.17	0.04	0.21	0.17	0.11	1.15	0.47	40.7%	14.8%
Maya Yoshida	LA	21	1056	0.17	0.00	0.17	0.08	0.01	0.94	0.43	45.5%	18.2%
Beau Leroux	SJ	27	2115	0.17	0.26	0.43	0.15	0.19	2.09	0.55	26.5%	8.2%
Dave Romney	SJ	17	1064	0.17	0.00	0.17	0.03	0.03	0.51	0.17	33.3%	33.3%
Keaton Parks	NYC	18	1088	0.17	0.00	0.17	0.13	0.06	0.99	0.33	33.3%	16.7%
Kobe Franklin	TOR	17	1100	0.16	0.16	0.33	0.03	0.05	0.57	0.33	57.1%	28.6%
Eduard Löwen	SJ	19	1102	0.16	0.16	0.33	0.13	0.20	2.45	0.49	20.0%	6.7%
Kalani Kossa-Rienzi	SEA	25	1666	0.16	0.00	0.16	0.09	0.14	0.86	0.43	50.0%	18.8%
Tomas Totland	STL	23	1669	0.16	0.22	0.38	0.09	0.12	0.70	0.22	30.8%	23.1%
Danley Jean Jacques	PHI	26	2244	0.16	0.08	0.24	0.16	0.08	1.16	0.20	17.2%	13.8%
Facundo Torres	ATX	28	2258	0.16	0.28	0.44	0.12	0.18	1.55	0.64	41.0%	10.3%
Lukas MacNaughton	STL	23	1130	0.16	0.08	0.24	0.06	0.04	0.48	0.24	50.0%	33.3%
Mohamed Farsi	CLB	16	1137	0.16	0.32	0.47	0.07	0.17	0.71	0.32	44.4%	22.2%
Andy Nájar	NSH	25	1707	0.16	0.32	0.47	0.05	0.15	0.63	0.32	50.0%	25.0%
Griffin Dorsey	ORL	21	1713	0.16	0.05	0.21	0.17	0.08	1.00	0.32	31.6%	15.8%
Jon Bell	ATX	21	1146	0.16	0.00	0.16	0.05	0.02	0.31	0.24	75.0%	50.0%
Indiana Vassilev	PHI	27	1723	0.16	0.16	0.31	0.13	0.11	1.04	0.42	40.0%	15.0%
Emil Forsberg	RBNY	25	1734	0.16	0.26	0.42	0.32	0.26	2.34	0.83	35.6%	6.7%
Jesús Ferreira	SEA	19	1156	0.16	0.31	0.47	0.26	0.25	1.79	0.86	47.8%	8.7%
Jacob Bartlett	SKC	23	1159	0.16	0.00	0.16	0.04	0.05	0.23	0.23	100.0%	66.7%
Manu García	SKC	17	1172	0.15	0.23	0.38	0.04	0.23	0.69	0.31	44.4%	22.2%
Reggie Cannon	COL	17	1179	0.15	0.00	0.15	0.04	0.05	0.23	0.23	100.0%	66.7%
Telasco Segovia	MIA	25	1890	0.14	0.38	0.52	0.12	0.12	1.19	0.29	24.0%	12.0%
Guilherme Biro	ATX	24	1897	0.14	0.05	0.19	0.08	0.06	0.90	0.19	21.1%	15.8%
Jonathan Bamba	CHI	20	1267	0.14	0.14	0.28	0.30	0.20	2.27	0.78	34.4%	6.3%
Jack McGlynn	HOU	17	1326	0.14	0.27	0.41	0.04	0.21	1.36	0.54	40.0%	10.0%
Calvin Harris	SKC	26	2022	0.13	0.18	0.31	0.22	0.10	2.18	0.85	38.8%	6.1%
Tomás Jacob	ATL	24	2048	0.13	0.04	0.18	0.07	0.07	0.66	0.18	26.7%	20.0%
Reid Roberts	SJ	24	2135	0.13	0.00	0.13	0.07	0.05	0.55	0.25	46.2%	23.1%
Ashley Westwood	CLT	25	2153	0.13	0.17	0.29	0.07	0.23	0.67	0.29	43.8%	18.8%
Mathías Laborda	VAN	26	2153	0.13	0.08	0.21	0.13	0.06	1.17	0.25	21.4%	10.7%
Héctor Herrera	HOU	25	1486	0.12	0.00	0.12	0.13	0.09	0.91	0.36	40.0%	13.3%
Lawrence Ennali	HOU	27	2232	0.12	0.16	0.28	0.07	0.07	0.69	0.24	35.3%	17.6%
Lucas Sanabria	LA	27	1532	0.12	0.06	0.18	0.13	0.12	1.00	0.23	23.5%	11.8%
Joaquín Pereyra	MIN	27	2299	0.12	0.39	0.51	0.10	0.32	1.88	0.47	25.0%	6.3%
Morgan Guilavogui	RSL	22	1573	0.11	0.23	0.34	0.28	0.18	2.57	1.14	44.4%	4.4%
Brendan Hines-Ike	ATX	22	1576	0.11	0.00	0.11	0.06	0.02	0.46	0.29	62.5%	25.0%
Bryan Ramirez	CIN	24	1581	0.11	0.17	0.28	0.08	0.16	1.31	0.57	43.5%	8.7%
Lucas Bartlett	DC	26	2379	0.11	0.00	0.11	0.11	0.01	0.83	0.30	36.4%	13.6%
Morrison Agyemang	CLT	22	1704	0.11	0.00	0.11	0.13	0.02	0.79	0.26	33.3%	13.3%
Cole Bassett	POR	21	1711	0.11	0.21	0.32	0.18	0.17	1.84	0.53	28.6%	5.7%

The top 150 of 364 players are listed; every player with a page is linked from the club pages.

Chance creation and dribbling

2026 MLS chance creation and dribbling
Player	Club	Apps	MIN	KP/90	BCC/90	CRS/90	CRS%	DRB/90	DRB%
Timo Werner	SJ	16	1035	3.48	0.52	8.70	23.0%	0.78	31.0%
Diego Luna	RSL	18	1239	3.27	0.58	4.07	28.6%	0.94	46.4%
Evander	CIN	24	1904	3.21	1.09	5.34	39.8%	1.84	44.8%
Niko Tsakiris	SJ	19	1489	3.20	0.48	6.71	29.7%	0.54	31.0%
Albert Rusnák	SEA	26	2028	3.20	0.49	7.23	29.4%	0.31	50.0%
Cristian Espinoza	NSH	24	1765	3.11	0.71	7.65	30.0%	1.17	53.5%
Sebastian Berhalter	VAN	14	1134	3.10	0.87	9.60	32.2%	0.16	28.6%
Jack McGlynn	HOU	17	1326	3.05	0.54	5.16	25.0%	0.27	50.0%
Marco Reus	LA	27	1901	3.03	0.80	3.65	28.6%	0.71	60.0%
Thomas Müller	VAN	21	1577	2.91	0.63	2.00	25.7%	0.63	44.0%
Joaquín Pereyra	MIN	27	2299	2.86	0.90	6.58	32.1%	1.25	43.2%
Marcel Hartel	STL	15	1293	2.85	0.42	6.40	27.2%	0.63	45.0%
Santiago Moreno	DAL	23	1073	2.85	0.84	4.11	28.6%	1.43	43.6%
Carles Gil	NE	27	2431	2.81	0.30	4.33	22.2%	1.11	42.9%
Jesús Ferreira	SEA	19	1156	2.80	0.39	3.19	34.1%	1.01	68.4%
Alonso Coello	TOR	27	1944	2.73	0.23	5.88	39.4%	0.42	56.3%
Anders Dreyer	SD	27	2409	2.65	0.52	6.05	31.5%	0.56	53.6%
Wikelman Carmona	MTL	19	1071	2.60	0.34	2.94	28.6%	0.92	35.5%
Djordje Mihailovic	TOR	13	903	2.59	0.20	6.38	29.7%	0.90	69.2%
Lionel Messi	MIA	25	2225	2.59	0.89	2.83	30.0%	2.18	50.5%
Antoine Griezmann	ORL	12	1068	2.53	0.93	4.63	29.1%	0.84	58.8%
Rodrigo De Paul	MIA	23	2089	2.50	0.78	2.58	33.3%	0.39	32.1%
Kai Wagner	PHI	13	1192	2.49	0.30	7.32	27.8%	0.15	33.3%
Facundo Torres	ATX	28	2258	2.47	0.20	5.58	34.3%	0.44	34.4%
Philip Zinckernagel	CHI	26	2056	2.41	0.53	6.92	26.6%	1.49	42.0%
Miguel Almirón	ATL	22	1879	2.35	0.48	3.64	26.3%	1.44	69.8%
Guilherme Augusto	HOU	26	2214	2.32	0.41	3.94	28.9%	2.64	54.6%
Maxi Morález	NYC	14	1130	2.31	0.56	3.90	28.6%	0.24	60.0%
Taha Habroune	CLB	27	1900	2.27	0.62	1.61	11.8%	1.09	44.2%
Cavan Sullivan	PHI	26	1667	2.27	0.65	3.51	26.2%	2.43	51.7%
Son Heung-Min	LAFC	27	2203	2.25	0.45	2.00	26.5%	1.39	42.0%
Justin Ellis	ORL	20	1332	2.23	0.61	0.68	50.0%	2.23	66.0%
Kristoffer Velde	POR	27	2329	2.20	0.50	6.99	23.8%	1.85	39.7%
Gerardo Valenzuela	CIN	23	1564	2.19	0.12	2.01	34.3%	0.81	41.2%
Emil Forsberg	RBNY	25	1734	2.18	0.36	3.48	23.9%	0.52	40.0%
Jordan Morris	SEA	18	1006	2.15	0.72	0.18	50.0%	0.81	75.0%
Maren Haile-Selassie	CHI	27	1900	2.13	0.43	1.14	41.7%	1.18	46.3%
Juan Manuel Sanabria	RSL	24	1904	2.13	0.38	5.20	24.5%	0.57	44.4%
Nicolás Fernández	NYC	27	2413	2.13	0.63	4.70	27.0%	1.75	57.3%
Denis Bouanga	LAFC	28	2396	2.10	0.49	4.24	21.2%	1.88	43.5%
Joaquín Valiente	DAL	26	1801	2.10	0.40	4.30	24.4%	0.50	33.3%
Paxten Aaronson	COL	28	2314	2.06	0.39	4.12	31.1%	0.66	32.1%
Morgan Guilavogui	RSL	22	1573	2.06	0.34	0.63	27.3%	1.09	57.6%
Jacob Shaffelburg	LAFC	18	882	2.04	0.82	6.33	27.4%	0.92	42.9%
Pep Biel	CLT	28	2477	2.03	0.51	3.78	26.9%	0.87	44.4%
Cade Cowell	RBNY	26	1730	2.03	0.42	5.15	27.3%	1.20	37.1%
Manu García	SKC	17	1172	2.00	0.69	2.53	21.2%	1.15	51.7%
Milan Iloski	PHI	28	2313	1.98	0.31	4.94	38.6%	0.43	34.4%
Alexey Miranchuk	ATL	27	2201	1.96	0.29	3.23	22.8%	0.82	41.7%
Ender Echenique	CIN	25	1642	1.92	0.66	3.07	26.8%	1.97	45.0%
João Peglow	DC	24	2025	1.91	0.36	3.11	25.7%	0.49	33.3%
Gabriel Pec	LA	14	1220	1.84	0.37	1.77	20.8%	1.99	49.1%
Luis Suárez	MIA	24	1772	1.83	0.51	0.56	18.2%	0.56	37.9%
Ronald Donkor	RBNY	26	2204	1.80	0.29	0.45	9.1%	1.51	63.8%
Dylan Chambost	CLB	24	1364	1.78	0.26	3.23	22.4%	0.13	33.3%
Ashley Westwood	CLT	25	2153	1.76	0.25	3.22	39.0%	0.25	54.5%
David Da Costa	POR	23	1899	1.75	0.24	1.71	19.4%	0.76	50.0%
Emmanuel Sabbi	VAN	22	1150	1.72	0.47	1.72	18.2%	2.03	45.6%
Édier Ocampo	VAN	25	2013	1.70	0.31	4.56	27.5%	0.80	40.0%
Ariel Lassiter	POR	22	1062	1.69	0.59	6.19	24.7%	0.85	47.6%
Wilfried Zaha	CLT	13	1169	1.69	0.38	0.54	14.3%	1.69	48.9%
Hany Mukhtar	NSH	28	2341	1.69	0.42	2.31	35.0%	0.88	48.9%
Frankie Westfield	PHI	24	2085	1.68	0.52	5.44	25.4%	0.22	23.8%
Martín Ojeda	ORL	22	1799	1.65	0.30	4.70	29.8%	0.45	30.0%
Héctor Herrera	HOU	25	1486	1.64	0.30	0.73	41.7%	0.36	60.0%
Cheick Sabaly	VAN	20	889	1.62	0.10	1.62	12.5%	1.42	50.0%
Mark Delgado	LAFC	27	1892	1.62	0.10	0.76	31.3%	0.33	46.7%
Timothy Tillman	LAFC	19	1195	1.58	0.30	0.68	33.3%	1.05	38.9%
Agustin Ojeda	NYC	28	2279	1.58	0.28	2.25	24.6%	0.91	47.9%
Jeong Sang-Bin	STL	19	912	1.58	0.00	1.48	6.7%	0.89	39.1%
Telasco Segovia	MIA	25	1890	1.57	0.24	0.57	66.7%	1.00	55.3%
Jonathan Bamba	CHI	20	1267	1.56	0.50	1.28	16.7%	0.99	31.8%
Conrad Wallem	STL	23	1988	1.54	0.14	2.13	14.9%	0.63	48.3%
Bryan Ramirez	CIN	24	1581	1.54	0.34	3.87	32.4%	2.28	60.6%
Max Arfsten	CLB	17	1471	1.53	0.43	4.16	16.2%	2.69	58.7%
Prince Owusu	MTL	25	2078	1.52	0.56	0.82	36.8%	0.69	38.1%
Sergio Reguilón	MIA	14	898	1.50	0.10	4.51	33.3%	0.40	40.0%
Luca Petrasso	MTL	25	2216	1.50	0.28	4.26	31.4%	0.49	37.5%
Robin Lod	CHI	24	1500	1.50	0.18	0.48	37.5%	0.30	25.0%
Peter Kingston	SEA	21	962	1.50	0.00	1.87	30.0%	0.47	41.7%
David Martínez	LAFC	18	963	1.50	0.19	2.90	16.1%	1.96	50.0%
Iván Angulo	ORL	28	2468	1.50	0.33	0.91	28.0%	1.35	40.2%
Andy Nájar	NSH	25	1707	1.48	0.05	1.37	38.5%	1.58	53.6%
Cole Bassett	POR	21	1711	1.47	0.16	1.37	19.2%	0.32	46.2%
Eduard Löwen	SJ	19	1102	1.47	0.24	3.51	25.6%	1.23	51.7%
Mateo Silvetti	MIA	14	881	1.43	0.51	2.35	17.4%	0.82	36.4%
Noah Streit	MTL	22	1071	1.43	0.00	1.26	33.3%	1.76	39.6%
Georgi Minoungou	COL	25	1517	1.42	0.24	3.32	16.1%	2.55	42.6%
Dante Sealy	MTL	24	1329	1.42	0.41	4.33	26.6%	0.81	37.5%
Noel Caliskan	RSL	28	2404	1.39	0.11	0.56	46.7%	0.37	100.0%
Taylor Calheira	SKC	20	977	1.38	0.18	0.37	25.0%	0.55	46.2%
Miki Yamane	LA	16	985	1.37	0.18	1.37	13.3%	0.46	55.6%
Matthew Dos Santos	RBNY	25	1649	1.36	0.38	4.75	18.4%	0.55	52.6%
Anthony Markanich	MIN	27	2243	1.36	0.32	1.40	28.6%	0.12	33.3%
Beau Leroux	SJ	27	2115	1.36	0.34	1.66	25.6%	1.53	56.3%
Liel Abada	CLT	22	1202	1.35	0.37	2.02	11.1%	0.67	26.5%
Mohamed Farsi	CLB	16	1137	1.35	0.16	1.66	42.9%	0.87	44.0%
Onni Valakari	SD	27	2035	1.33	0.13	0.57	23.1%	0.40	50.0%
Kwaku Agyabeng	SKC	18	952	1.32	0.09	0.47	0.0%	1.23	86.7%
Pavel Bucha	CIN	26	2176	1.32	0.17	1.16	39.3%	0.54	46.4%
Ousseni Bouda	SJ	28	2127	1.31	0.42	3.98	28.7%	1.10	40.6%
Kevin Kelsy	POR	19	1180	1.30	0.23	0.08	100.0%	0.46	40.0%
Mathieu Choinière	LAFC	29	1807	1.29	0.25	0.85	23.5%	0.65	76.5%
Bruno Damiani	PHI	28	2166	1.29	0.25	0.37	11.1%	0.42	41.7%
Antony	POR	25	1477	1.28	0.24	1.46	8.3%	1.28	42.9%
Aiden Hezarkhani	RSL	23	991	1.27	0.09	3.00	18.2%	1.27	37.8%
Anton Saletros	CHI	23	1929	1.26	0.23	2.66	31.6%	0.37	53.3%
Jeevan Badwal	VAN	21	1358	1.26	0.33	0.93	35.7%	0.20	30.0%
Ran Binyamin	DAL	24	1002	1.26	0.18	0.63	42.9%	0.99	50.0%
Jovan Lukic	PHI	26	1934	1.26	0.05	0.84	33.3%	0.23	38.5%
Logan Farrington	DAL	26	1369	1.25	0.46	0.72	27.3%	1.25	40.4%
Germán Berterame	MIA	25	2032	1.24	0.35	0.18	0.0%	0.58	54.2%
Herman Johansson	DAL	25	1600	1.24	0.23	2.08	43.2%	0.23	40.0%
Amahl Pellegrino	SD	20	946	1.24	0.38	1.14	8.3%	0.38	50.0%
Jeppe Tverskov	SD	22	1773	1.22	0.25	0.56	18.2%	0.51	55.6%
Andrew Gutman	CHI	20	1557	1.21	0.23	1.85	31.3%	0.17	50.0%
Nathan Ordaz	DC	20	898	1.20	0.40	0.70	14.3%	0.10	10.0%
Harbor Miller	LA	27	1572	1.20	0.29	2.00	11.4%	1.26	47.8%
Joseph Paintsil	LA	22	1655	1.20	0.22	1.63	16.7%	1.25	37.7%
Luca de la Torre	CLT	24	992	1.18	0.09	1.18	38.5%	1.00	78.6%
Petar Musa	DAL	25	1830	1.18	0.34	0.44	55.6%	0.69	40.0%
Tyrese Spicer	ORL	22	918	1.18	0.29	3.53	11.1%	1.27	46.4%
Jorge Ruvalcaba	RBNY	27	1838	1.18	0.10	0.93	26.3%	0.64	46.4%
Lawrence Ennali	HOU	27	2232	1.17	0.04	1.33	21.2%	1.09	41.5%
Sergi Solans	RSL	26	1848	1.17	0.29	0.15	33.3%	0.73	38.5%
Samuel Gidi	CIN	26	1874	1.15	0.05	0.34	14.3%	0.72	48.4%
Luca Langoni	NE	19	1021	1.15	0.53	4.50	19.6%	0.71	29.6%
Adri Mehmeti	RBNY	27	2208	1.14	0.16	0.04	0.0%	0.41	43.5%
Miguel Navarro	COL	22	1662	1.14	0.11	2.49	32.6%	0.16	30.0%
Louis Munteanu	DC	21	1506	1.14	0.24	2.09	25.7%	0.36	33.3%
Tomas Totland	STL	23	1669	1.13	0.27	1.35	20.0%	0.38	36.8%
Derrick Etienne Jr.	TOR	21	1120	1.13	0.08	3.05	5.3%	0.56	33.3%
Joseph Rosales	ATX	26	2081	1.12	0.22	2.08	41.7%	1.08	36.8%
Paul Rothrock	SEA	21	1685	1.12	0.32	2.78	26.9%	0.80	31.3%
Marcus Ingvartsen	SD	24	1687	1.12	0.27	0.16	66.7%	0.43	34.8%
Emir Karic	SKC	13	1051	1.11	0.00	4.88	26.3%	0.43	83.3%
Kévin Denkey	CIN	26	2113	1.11	0.04	0.34	0.0%	0.77	50.0%
Kenji Mboma Dem	CIN	22	1301	1.11	0.00	1.66	29.2%	1.04	60.0%
Brian White	VAN	25	2041	1.10	0.18	0.09	50.0%	0.13	16.7%
Diego Rossi	CLB	12	998	1.08	0.18	2.43	33.3%	0.72	25.8%
Shapi Suleymanov	SKC	24	1172	1.08	0.23	2.61	23.5%	0.38	62.5%
Matthew Longstaff	MTL	26	2034	1.06	0.13	2.04	26.1%	0.40	90.0%
Lucas Sanabria	LA	27	1532	1.06	0.18	0.23	50.0%	0.65	55.0%
Yannick Bright	MIA	22	1876	1.06	0.14	0.05	100.0%	0.43	37.5%
Brandon Bye	POR	19	1623	1.05	0.28	3.44	22.6%	0.22	25.0%
Keisuke Kurokawa	DC	27	2478	1.05	0.22	5.41	24.8%	0.84	57.5%
Tate Johnson	VAN	25	2061	1.05	0.13	1.75	17.5%	0.35	57.1%
Patrick Yazbek	NSH	18	1121	1.04	0.24	0.80	10.0%	0.64	80.0%
Kyle Duncan	MIN	23	1648	1.04	0.22	1.64	30.0%	1.09	51.3%
Darren Yapi	COL	28	1399	1.03	0.32	1.48	34.8%	1.16	34.0%

The top 150 of 342 players are listed; every player with a page is linked from the club pages.

Passing and involvement

2026 MLS passing and involvement
Player	Club	Apps	MIN	TCH/90	PASS/90	PASS%	LB%	MPA	GS
Jeppe Tverskov	SD	22	1773	119.6	104.0	89.1%	51.0%	80.6	20
Christopher McVey	SD	24	1657	105.9	96.0	92.6%	53.0%	69.0	17
Manu Duah	SD	27	2416	103.4	89.0	92.6%	54.3%	89.5	27
Aníbal Godoy	SD	26	1536	102.4	89.9	93.1%	74.4%	59.1	18
Rudy Camacho	CLB	19	1564	96.6	84.6	92.1%	57.0%	82.3	18
Dylan Chambost	CLB	24	1364	93.6	80.6	90.5%	68.1%	56.8	16
Raul Gustavo	NYC	21	1319	91.6	77.4	86.2%	52.8%	62.8	13
Rodrigo De Paul	MIA	23	2089	90.4	75.1	87.3%	72.8%	90.8	23
Jackson Ragen	SEA	20	1708	88.6	75.6	92.7%	64.1%	85.4	18
Rob Holding	COL	25	2009	88.3	77.1	90.4%	54.6%	80.4	24
Thiago Martins	NYC	24	2131	87.7	77.4	91.6%	53.2%	88.8	24
Sebastian Berhalter	VAN	14	1134	87.6	63.5	84.9%	54.6%	81.0	13
Casemiro	MIA	12	1093	87.5	72.1	89.4%	64.2%	91.1	12
Tristan Blackmon	VAN	25	2127	86.9	74.2	90.4%	57.3%	85.1	24
Joel Waterman	POR	20	1452	85.8	74.6	90.5%	44.8%	72.6	15
Luca Bombino	SD	17	1177	85.7	59.3	85.7%	30.0%	69.2	13
Julián Bazán	RBNY	14	1076	84.9	67.5	91.7%	50.0%	76.9	12
Jeisson Palacios	NSH	22	1893	84.1	70.2	93.2%	61.5%	86.0	21
Alex Roldan	SEA	23	1544	83.6	68.2	86.8%	52.5%	67.1	18
Micael	MIA	19	1711	83.5	71.2	94.4%	56.6%	90.1	19
Justin Che	RBNY	19	1493	82.8	66.7	88.3%	42.0%	78.6	17
Andy Nájar	NSH	25	1707	82.7	58.4	86.9%	56.4%	68.3	19
André Gomes	CLB	21	1455	82.4	66.7	91.9%	70.7%	69.3	16
José Caicedo	POR	17	1030	82.0	66.0	88.2%	62.1%	60.6	13
Cristian Roldan	SEA	20	1602	81.9	66.0	88.3%	62.6%	80.1	17
Lukas Engel	RSL	14	1148	81.8	66.5	84.0%	50.7%	82.0	14
Júnior Alonso	ATL	13	1149	81.2	68.8	89.3%	66.7%	88.4	13
Samuel Gidi	CIN	26	1874	80.1	61.4	88.6%	54.6%	72.1	21
Dylan Nealis	RBNY	24	2027	79.9	61.5	85.0%	38.0%	84.5	24
Carles Gil	NE	27	2431	79.7	61.5	88.1%	71.4%	90.0	27
Maya Yoshida	LA	21	1056	79.7	65.3	91.4%	52.6%	50.3	12
Tate Johnson	VAN	25	2061	79.4	58.7	89.4%	59.5%	82.4	24
Enea Mihaj	ATL	22	1518	79.3	66.6	89.3%	51.9%	69.0	17
Kamal Miller	POR	22	1573	78.8	65.7	91.5%	64.5%	71.5	18
Kai Trewin	NYC	15	1270	78.4	65.7	88.9%	54.7%	84.7	14
Jaziel Orozco	STL	19	1263	78.4	64.6	92.1%	63.8%	66.5	15
Mathías Laborda	VAN	26	2153	78.3	64.5	88.9%	48.9%	82.8	22
Carlos Garcés	LA	18	927	77.8	63.1	91.8%	50.0%	51.5	10
Jack Elliott	CHI	25	2070	77.2	64.7	85.7%	36.6%	82.8	24
Steven Moreira	CLB	27	2167	77.2	60.9	90.9%	61.2%	80.3	23
Tayvon Gray	NYC	25	2161	77.0	53.8	83.2%	40.9%	86.4	25
Héctor Herrera	HOU	25	1486	76.9	65.3	93.0%	77.6%	59.4	15
Sean Zawadzki	CLB	28	2549	76.8	64.0	92.7%	45.8%	91.0	28
Jack McGlynn	HOU	17	1326	76.7	62.6	87.0%	62.5%	78.0	15
Yannick Bright	MIA	22	1876	76.6	60.4	89.3%	67.1%	85.3	21
Loic Williams	COL	13	1198	76.2	66.5	92.3%	58.1%	92.2	13
Lasse Berg Johnsen	SKC	21	1757	76.1	64.2	90.5%	61.0%	83.7	20
Timo Baumgartl	STL	27	2473	76.1	65.5	92.6%	53.4%	91.6	27
Stian Gregersen	ATL	15	953	76.0	62.2	92.1%	44.7%	63.5	10
Kai Wagner	PHI	13	1192	76.0	47.9	73.7%	42.9%	91.7	13
Artur	HOU	20	1556	75.9	65.7	91.5%	62.1%	77.8	17
Maxwell Woledzi	NSH	28	2471	75.8	63.7	94.1%	62.1%	88.3	27
Adri Mehmeti	RBNY	27	2208	75.7	60.6	85.5%	41.0%	81.8	27
Julián Aude	LA	18	1161	75.4	54.4	88.6%	51.4%	64.5	15
James Sands	NYC	13	1143	75.0	61.7	88.4%	42.4%	87.9	13
Aiden O'Neill	NYC	17	1267	74.6	59.0	89.5%	54.1%	74.5	15
Mark Delgado	LAFC	27	1892	74.4	60.9	89.7%	64.4%	70.1	20
Hamzat Ojediran	COL	25	1771	74.2	61.0	90.9%	48.1%	70.8	23
Stijn Spierings	RSL	19	1371	74.0	59.9	89.9%	69.7%	72.2	16
Matt Polster	NE	22	1577	74.0	59.1	90.9%	59.7%	71.7	20
Edwin Cerrillo	LA	16	1282	73.9	62.9	92.0%	72.7%	80.1	14
Lukas MacNaughton	STL	23	1130	73.5	57.7	88.4%	37.9%	49.1	10
Matthew Dos Santos	RBNY	25	1649	73.4	48.5	79.4%	36.9%	66.0	23
Alonso Coello	TOR	27	1944	73.3	54.9	85.0%	53.4%	72.0	21
Miles Robinson	CIN	20	1559	73.1	59.9	88.1%	57.5%	78.0	19
Emir Karic	SKC	13	1051	73.0	52.7	85.7%	58.7%	80.8	12
Mamadou Fofana	NE	24	2181	73.0	59.8	91.5%	49.7%	90.9	24
Kevin O'Toole	NYC	19	1326	73.0	52.7	88.7%	34.2%	69.8	13
Joaquín Pereyra	MIN	27	2299	73.0	48.2	79.8%	57.5%	85.1	25
Jakob Glesnes	LA	21	1862	72.9	60.0	88.6%	51.2%	88.7	21
Ryan Porteous	LAFC	24	2068	72.7	59.1	90.2%	54.6%	86.2	22
Maximiliano Falcón	MIA	18	1506	72.4	62.5	93.4%	62.9%	83.7	16
Miguel Navarro	COL	22	1662	72.3	49.5	85.6%	55.8%	75.5	17
Noel Caliskan	RSL	28	2404	72.3	58.5	88.7%	68.1%	85.9	26
Miki Yamane	LA	16	985	72.2	52.5	84.5%	33.3%	61.6	12
Mbekezeli Mbokazi	CHI	14	1230	72.1	54.1	83.9%	36.6%	87.9	14
Gonzalo Luján	MIA	18	1261	71.8	58.3	87.5%	36.7%	70.1	14
Andrés Cubas	VAN	23	1865	71.6	56.5	88.1%	59.3%	81.1	22
Eddie Segura	LAFC	24	2070	71.5	56.1	90.2%	50.0%	86.3	23
Dante Polvara	STL	27	2290	71.5	58.4	89.4%	45.0%	84.8	26
Malte Amundsen	CLB	23	1917	71.5	51.5	88.3%	38.2%	83.3	22
Kyle Smith	CIN	22	1207	71.4	55.1	87.0%	54.4%	54.9	12
Mathieu Choinière	LAFC	29	1807	71.4	57.5	91.0%	65.1%	62.3	20
Niko Tsakiris	SJ	19	1489	71.4	51.4	84.8%	75.9%	78.4	18
Matthew Corcoran	NSH	25	1826	71.3	60.2	89.4%	56.7%	73.0	20
Édier Ocampo	VAN	25	2013	71.3	44.5	82.9%	44.6%	80.5	23
Jimer Fory	POR	25	2080	71.3	50.8	87.7%	48.1%	83.2	25
Ashley Westwood	CLT	25	2153	71.2	60.0	87.1%	53.7%	86.1	24
Diego Luna	RSL	18	1239	70.8	52.9	84.3%	61.5%	68.8	13
Aaron Long	LAFC	14	1076	70.6	60.8	94.2%	67.2%	76.9	13
Finn Surman	POR	25	2240	70.6	55.9	91.9%	47.7%	89.6	25
Tristan Muyumba	ATL	28	2049	70.1	57.3	90.7%	66.2%	73.2	23
Kieran Sargeant	SD	19	1337	69.9	51.4	84.0%	38.0%	70.4	16
Nouhou Tolo	SEA	27	2303	69.9	49.5	88.7%	36.8%	85.3	26
Cole Bassett	POR	21	1711	69.8	56.0	90.3%	71.4%	81.5	21
Guilherme Augusto	HOU	26	2214	69.8	43.6	83.1%	60.2%	85.2	25
Patrick Yazbek	NSH	18	1121	69.7	58.6	90.7%	70.2%	62.3	13
Sergio Reguilón	MIA	14	898	69.7	49.0	80.4%	42.6%	64.1	12
Ethan Kohler	NE	23	1997	69.6	57.7	96.1%	60.3%	86.8	22
Anton Saletros	CHI	23	1929	69.5	56.7	85.8%	54.1%	83.9	22
D'Avilla Dje Tah	CHI	25	1766	69.5	57.3	88.8%	53.0%	70.6	21
Guilherme Biro	ATX	24	1897	69.5	50.5	85.2%	42.9%	79.0	22
Eduard Atuesta	ORL	20	1346	69.5	54.4	86.6%	34.8%	67.3	16
Eduard Löwen	SJ	19	1102	69.4	51.5	86.0%	68.4%	58.0	12
Mikkel Desler	ATX	17	1071	69.3	51.9	91.4%	41.9%	63.0	12
Henry Kessler	CLT	12	1087	69.3	57.5	91.5%	47.5%	90.6	12
Nick Hagglund	CIN	16	1037	69.1	52.0	87.0%	54.7%	64.8	11
Bryan Ramirez	CIN	24	1581	69.1	44.5	86.9%	73.3%	65.9	16
Joshua Atencio	COL	24	1456	69.0	57.3	85.7%	48.4%	60.7	16
Philip Quinton	RSL	23	1799	69.0	55.2	88.0%	51.3%	78.2	19
Olwethu Makhanya	PHI	13	1183	69.0	52.0	79.8%	45.9%	91.0	13
Brayan Ceballos	MTL	15	995	68.9	49.7	87.4%	55.3%	66.3	12
Edvard Tagseth	NSH	23	1527	68.9	57.2	90.6%	63.2%	66.4	17
Jefferson Díaz	MIN	25	1946	68.9	52.0	86.6%	46.1%	77.8	22
Lucas Halter	HOU	15	1305	68.8	56.6	91.0%	51.5%	87.0	15
Diego Chará	POR	21	1177	68.8	56.5	92.3%	55.8%	56.0	11
Justen Glad	RSL	12	1065	68.8	56.8	93.6%	65.7%	88.8	12
Taha Habroune	CLB	27	1900	68.7	49.8	85.6%	56.0%	70.4	22
Noah Allen	CHI	25	1508	68.1	50.6	89.0%	50.8%	60.3	16
Samuel Junqua	RSL	19	1137	68.0	52.6	84.6%	41.8%	59.8	11
Morrison Agyemang	CLT	22	1704	67.8	55.9	91.9%	59.4%	77.5	18
Brandon Bye	POR	19	1623	67.8	45.0	78.2%	33.9%	85.4	18
Kalani Kossa-Rienzi	SEA	25	1666	67.7	46.7	83.3%	45.0%	66.6	18
Elías Baez	ATL	25	2221	67.7	46.2	82.3%	40.4%	88.8	25
Reggie Cannon	COL	17	1179	67.6	49.1	92.2%	51.5%	69.4	14
Iago Teodoro	ORL	17	1238	67.5	55.4	91.7%	69.1%	72.8	13
Frankie Westfield	PHI	24	2085	67.0	37.1	70.5%	39.7%	86.9	24
Harry Toffolo	CLT	16	1169	67.0	44.2	85.5%	38.1%	73.1	14
Telasco Segovia	MIA	25	1890	66.9	54.5	91.2%	85.7%	75.6	22
Reid Roberts	SJ	24	2135	66.8	55.0	89.5%	52.3%	89.0	24
Keaton Parks	NYC	18	1088	66.3	51.2	84.5%	70.3%	60.4	13
Daniel Lovitz	NSH	28	1688	66.2	45.6	80.4%	48.4%	60.3	18
Justin Haak	LA	28	2368	66.1	52.7	89.3%	35.3%	84.6	26
Oleksandr Svatok	ATX	23	1856	66.1	54.0	90.9%	47.7%	80.7	21
Efraín Morales	MTL	19	1346	65.9	52.3	89.4%	47.4%	70.8	14
Tim Ream	CLT	20	1773	65.8	56.3	93.9%	74.6%	88.7	20
Morris Duggan	MIN	27	2437	65.7	48.6	86.4%	40.7%	90.3	27
Agustín Resch	HOU	23	1625	65.6	52.0	88.6%	37.0%	70.7	17
Matthew Longstaff	MTL	26	2034	65.6	54.0	85.7%	56.3%	78.2	23
Alhassan Yusuf	NE	23	1772	65.3	52.6	90.1%	63.3%	77.0	20
Evander	CIN	24	1904	65.2	41.5	84.4%	66.7%	79.3	22
Juan Manuel Sanabria	RSL	24	1904	65.0	41.4	84.4%	48.9%	79.3	20
Matt Miazga	NYC	14	972	64.9	53.9	90.4%	49.3%	69.4	12
Jalen Neal	MTL	16	1222	64.8	53.5	91.2%	68.5%	76.4	15
Stuart Hawkins	SEA	13	923	64.7	53.2	87.7%	41.3%	71.0	10
Nkosi Tafari	LAFC	22	1775	64.6	53.2	90.9%	52.7%	80.7	19
Ryan Hollingshead	LAFC	24	1533	64.6	43.8	83.4%	54.3%	63.9	16
Christopher Durkin	STL	25	2122	64.3	49.8	86.6%	57.7%	84.9	24
Robin Jansson	ORL	20	1767	64.3	56.0	91.3%	44.2%	88.3	20
Daniel Munie	SJ	25	2227	64.2	53.5	88.6%	49.7%	89.1	25

The top 150 of 367 players are listed; every player with a page is linked from the club pages.

Defending and duels

2026 MLS defending and duels
Player	Club	Apps	MIN	TKL/90	TKL%	INT/90	CLR/90	BLK/90	REC/90	DUEL%	AER%
Andrés Cubas	VAN	23	1865	5.07	58.1%	2.08	0.68	0.34	7.9	60.3%	40.0%
Obinna Nwobodo	CIN	21	1006	4.13	58.7%	1.26	1.53	0.36	5.0	58.9%	61.5%
Yannick Bright	MIA	22	1876	3.74	55.1%	2.30	1.34	0.00	5.6	59.7%	57.7%
Carlos Garcés	LA	18	927	3.30	76.5%	1.84	3.88	0.00	5.1	63.0%	54.5%
Silvan Hefti	DC	24	2064	3.14	68.1%	1.22	2.66	0.26	3.5	53.2%	53.7%
Cheick Sabaly	VAN	20	889	3.14	58.1%	1.01	0.20	0.40	3.8	45.0%	12.5%
Luis Otávio	ORL	22	1073	3.10	75.7%	1.17	1.76	0.17	4.3	59.0%	52.9%
Lucas Sanabria	LA	27	1532	3.00	51.0%	1.53	0.88	0.23	4.5	52.7%	44.8%
Luca Bombino	SD	17	1177	2.91	60.5%	1.15	2.22	0.23	4.3	64.0%	47.8%
João Peglow	DC	24	2025	2.89	53.8%	1.07	0.80	0.62	4.8	43.6%	32.7%
Samuel Piette	MTL	17	879	2.87	71.4%	1.33	1.54	0.00	7.8	52.2%	64.3%
Brandon Servania	DC	26	1978	2.87	46.0%	0.82	1.14	0.32	4.0	50.8%	27.9%
Matthew Corcoran	NSH	25	1826	2.86	63.8%	0.59	0.99	0.10	3.4	58.0%	57.7%
Aiden O'Neill	NYC	17	1267	2.84	55.0%	0.99	1.92	0.43	3.8	59.4%	68.4%
Diego Chará	POR	21	1177	2.76	44.4%	1.45	1.30	0.00	4.7	57.7%	25.0%
Taha Habroune	CLB	27	1900	2.70	56.1%	0.99	0.57	0.24	4.1	48.1%	27.8%
Sebastian Berhalter	VAN	14	1134	2.62	54.5%	0.87	0.56	0.63	6.1	56.5%	64.3%
Nico Cavallo	NYC	17	1254	2.58	63.9%	1.15	2.66	0.00	3.2	61.2%	70.6%
Bryan Ramirez	CIN	24	1581	2.56	64.4%	1.54	1.65	0.23	5.8	54.6%	57.1%
Tristan Muyumba	ATL	28	2049	2.55	70.7%	1.23	1.19	0.40	4.6	52.5%	59.1%
José Caicedo	POR	17	1030	2.53	69.0%	2.18	2.62	0.17	6.5	59.8%	65.2%
Jaziel Orozco	STL	19	1263	2.49	57.1%	2.21	2.92	0.07	3.8	54.2%	42.4%
Miki Yamane	LA	16	985	2.47	85.2%	1.92	2.28	0.18	3.4	55.0%	52.6%
Jacob Davis	SKC	20	1550	2.44	52.4%	1.57	2.50	0.23	4.2	44.6%	29.4%
Matti Peltola	DC	26	1960	2.43	58.5%	1.42	2.02	0.46	5.6	61.6%	40.9%
Emir Karic	SKC	13	1051	2.40	71.4%	0.69	2.48	0.09	2.9	53.4%	27.8%
David Vazquez	SD	18	872	2.37	43.5%	0.52	0.21	0.31	4.0	36.4%	35.7%
Édier Ocampo	VAN	25	2013	2.37	60.4%	1.16	1.74	0.27	5.1	54.0%	50.0%
Olwethu Makhanya	PHI	13	1183	2.36	51.6%	1.45	4.56	0.38	6.3	55.8%	68.1%
Julián Bazán	RBNY	14	1076	2.34	64.3%	1.84	5.27	0.17	4.4	61.2%	66.7%
Jeppe Tverskov	SD	22	1773	2.33	60.9%	1.88	1.73	0.10	6.9	57.5%	61.1%
Harbor Miller	LA	27	1572	2.29	57.5%	1.43	2.98	0.57	4.0	47.1%	37.9%
Jovan Lukic	PHI	26	1934	2.28	65.3%	1.72	1.35	0.19	4.9	40.7%	59.2%
Kalani Kossa-Rienzi	SEA	25	1666	2.27	69.0%	1.24	1.78	0.22	5.0	52.3%	24.0%
Kwaku Agyabeng	SKC	18	952	2.27	58.3%	1.51	1.51	0.09	5.2	59.2%	43.8%
Alonso Coello	TOR	27	1944	2.27	61.2%	1.94	1.30	0.19	5.6	61.1%	71.8%
Julián Aude	LA	18	1161	2.25	69.0%	1.24	2.40	0.08	4.1	56.4%	41.4%
Christopher Durkin	STL	25	2122	2.25	49.1%	1.95	1.57	0.13	4.8	56.6%	64.7%
David Martínez	LAFC	18	963	2.24	79.2%	0.28	0.09	0.84	3.9	49.2%	42.9%
Tomás Jacob	ATL	24	2048	2.24	72.5%	1.27	2.86	0.26	3.9	60.0%	56.5%
Hamzat Ojediran	COL	25	1771	2.19	58.1%	1.58	1.12	0.41	4.9	49.4%	72.7%
Timothy Tillman	LAFC	19	1195	2.18	72.4%	0.83	0.53	0.38	5.0	56.3%	42.9%
Tyrese Spicer	ORL	22	918	2.16	90.9%	0.98	0.88	0.78	1.8	54.5%	37.5%
Harry Toffolo	CLT	16	1169	2.16	60.7%	0.92	2.93	0.31	3.4	63.3%	60.7%
Griffin Dorsey	ORL	21	1713	2.15	63.4%	0.84	2.36	0.21	3.0	54.4%	37.8%
Sean Zawadzki	CLB	28	2549	2.15	68.9%	1.34	3.99	0.11	4.6	65.6%	61.3%
Leonardo Barroso	CHI	15	969	2.14	73.9%	1.02	2.04	0.19	3.4	49.4%	36.4%
Edvard Tagseth	NSH	23	1527	2.12	47.2%	0.88	1.30	0.06	3.8	50.4%	47.6%
DeAndre Yedlin	RSL	21	1493	2.11	65.7%	0.60	2.83	0.18	3.3	48.7%	38.1%
Stijn Spierings	RSL	19	1371	2.10	68.8%	1.51	1.31	0.46	5.4	54.7%	62.1%
Alhassan Yusuf	NE	23	1772	2.08	56.1%	1.32	1.17	0.30	5.4	48.7%	36.1%
Cristian Roldan	SEA	20	1602	2.08	59.5%	1.01	1.91	0.67	5.3	53.5%	57.5%
Iván Angulo	ORL	28	2468	2.08	66.7%	0.84	0.51	0.07	5.2	49.4%	21.4%
Neil Pierre	PHI	13	1132	2.07	57.7%	1.27	4.85	0.08	5.5	76.0%	76.7%
Brandt Bronico	CLT	24	1005	2.06	47.8%	1.34	1.88	0.18	3.0	46.8%	57.1%
Philip Zinckernagel	CHI	26	2056	2.06	63.8%	0.35	0.26	1.36	3.9	43.5%	29.6%
Mark Delgado	LAFC	27	1892	2.05	58.1%	1.43	0.76	0.19	5.7	53.1%	43.8%
Mathieu Choinière	LAFC	29	1807	2.04	53.7%	1.29	1.25	0.30	4.0	57.1%	42.1%
Tayvon Gray	NYC	25	2161	2.04	73.5%	1.37	3.00	0.17	4.8	61.0%	47.2%
Adrián Marín	ORL	18	1192	2.04	59.3%	1.06	3.32	0.00	2.8	54.0%	45.8%
Capita	SKC	15	1065	2.03	79.2%	1.27	1.44	0.42	4.8	46.5%	63.6%
Snyder Brunell	SEA	26	1603	2.02	61.1%	1.29	1.46	0.17	3.3	45.8%	45.5%
Kyle Duncan	MIN	23	1648	2.02	81.1%	0.82	1.64	0.22	5.1	50.8%	57.7%
Kieran Sargeant	SD	19	1337	2.02	56.7%	0.88	1.62	0.20	3.4	52.2%	28.6%
Nectarios Triantis	MIN	23	1348	2.00	56.7%	0.80	0.73	0.40	5.8	45.0%	35.0%
Beau Leroux	SJ	27	2115	2.00	66.0%	1.19	1.02	0.94	5.7	51.9%	43.6%
Adri Mehmeti	RBNY	27	2208	2.00	69.4%	1.79	1.92	0.33	6.4	49.4%	60.3%
Aníbal Godoy	SD	26	1536	1.99	55.9%	1.11	0.82	0.06	5.9	54.4%	40.0%
Joseph Rosales	ATX	26	2081	1.99	54.3%	0.91	0.86	0.43	5.1	41.9%	25.6%
Bernard Kamungo	DAL	19	1413	1.97	74.2%	1.02	1.15	0.38	4.8	53.3%	45.5%
Daniel Lovitz	NSH	28	1688	1.97	62.2%	1.01	2.19	0.05	2.8	55.0%	48.3%
Kobe Franklin	TOR	17	1100	1.96	70.8%	1.31	2.05	0.08	3.8	49.0%	26.1%
Christian Cappis	DAL	28	1652	1.96	55.6%	0.93	1.91	0.16	3.8	51.6%	46.5%
Max Arfsten	CLB	17	1471	1.96	56.3%	0.49	1.28	0.12	3.1	53.0%	44.0%
Stuart Hawkins	SEA	13	923	1.95	70.0%	0.78	3.90	0.20	2.7	58.1%	44.8%
Gonzalo Luján	MIA	18	1261	1.94	48.1%	1.22	3.02	0.07	4.0	56.6%	50.0%
Mamadou Fofana	NE	24	2181	1.94	59.6%	1.36	6.31	0.00	4.4	62.2%	57.1%
Eduard Atuesta	ORL	20	1346	1.94	48.3%	1.27	1.27	0.07	5.8	48.2%	43.8%
Justin Haak	LA	28	2368	1.94	62.7%	1.29	2.93	0.11	3.8	54.6%	58.3%
Felipe Andrade	HOU	20	1719	1.94	40.5%	1.20	3.51	0.16	2.3	50.6%	49.1%
Justin Che	RBNY	19	1493	1.93	59.4%	1.45	4.82	0.12	4.9	63.0%	48.9%
Andres Herrera	CLB	18	934	1.93	85.0%	1.35	1.73	0.00	4.0	51.3%	45.0%
Anthony Markanich	MIN	27	2243	1.93	68.8%	1.20	1.85	0.24	4.3	59.6%	61.2%
Morris Duggan	MIN	27	2437	1.92	59.6%	1.70	5.47	0.04	4.4	54.6%	53.8%
Ian Harkes	SJ	26	1033	1.92	77.3%	1.22	1.92	0.52	4.5	47.1%	30.0%
Nolan Norris	DAL	21	1599	1.91	64.7%	1.74	5.80	0.06	4.3	55.2%	58.2%
Noah Allen	CHI	25	1508	1.91	68.8%	0.90	2.33	0.06	2.7	55.9%	61.5%
Dawid Bugaj	MTL	21	1514	1.90	56.3%	1.25	2.38	0.24	2.7	54.0%	66.7%
Onni Valakari	SD	27	2035	1.90	65.1%	0.40	0.35	0.35	4.6	57.1%	14.3%
Ran Binyamin	DAL	24	1002	1.89	71.4%	0.81	2.16	0.18	4.4	49.6%	50.0%
Tate Johnson	VAN	25	2061	1.88	67.4%	0.87	1.97	0.13	4.5	59.9%	37.0%
Djibril Diani	CLT	25	1204	1.87	64.0%	2.02	1.35	0.15	3.1	44.0%	48.5%
Osaze Urhoghide	DAL	23	2078	1.86	72.1%	1.56	6.06	0.13	4.3	62.5%	68.6%
Jimer Fory	POR	25	2080	1.86	67.4%	2.25	2.86	0.13	5.5	57.1%	64.0%
Conrad Wallem	STL	23	1988	1.86	63.4%	0.77	1.81	0.41	4.4	45.0%	61.5%
Jonathan Bamba	CHI	20	1267	1.85	61.5%	0.57	0.85	0.64	5.5	44.3%	50.0%
Kai Trewin	NYC	15	1270	1.84	69.2%	1.06	3.19	0.21	3.0	58.9%	66.7%
Owen Gene	MIN	27	1765	1.84	58.3%	1.22	1.02	0.10	6.0	44.4%	36.4%
Cavan Sullivan	PHI	26	1667	1.84	64.7%	0.97	0.59	0.70	4.2	47.8%	45.2%
Ian Fray	MIA	22	1474	1.83	76.7%	1.10	1.65	0.18	4.2	52.0%	38.1%
Mathías Laborda	VAN	26	2153	1.80	65.1%	1.21	3.34	0.21	5.5	56.9%	66.1%
Jonathan Dean	CHI	23	1553	1.80	58.1%	1.33	3.54	0.00	2.7	55.5%	56.3%
Dylan Chambost	CLB	24	1364	1.78	66.7%	1.06	1.45	0.53	5.0	52.3%	60.0%
Pavel Bucha	CIN	26	2176	1.78	79.1%	0.83	0.99	0.25	6.4	46.2%	42.3%
Dylan Nealis	RBNY	24	2027	1.78	57.5%	1.20	3.69	0.13	5.6	57.9%	71.0%
Agustín Resch	HOU	23	1625	1.77	68.8%	1.44	4.49	0.00	2.8	62.9%	73.8%
Frankie Westfield	PHI	24	2085	1.77	68.3%	1.51	1.68	0.43	4.8	63.1%	69.2%
Mikkel Desler	ATX	17	1071	1.76	76.2%	1.51	2.69	0.17	4.5	58.1%	50.0%
Wikelman Carmona	MTL	19	1071	1.76	81.0%	0.84	0.42	0.59	3.7	43.4%	20.0%
Ryan Hollingshead	LAFC	24	1533	1.76	70.0%	1.23	2.52	0.35	4.1	60.7%	71.1%
Mbekezeli Mbokazi	CHI	14	1230	1.76	66.7%	0.95	7.10	0.22	4.2	68.2%	57.1%
Edwin Cerrillo	LA	16	1282	1.76	76.0%	0.91	1.97	0.21	5.4	52.5%	53.8%
Elijah Wynder	LA	20	1078	1.75	81.0%	0.67	1.00	0.42	2.7	44.8%	40.5%
Ahmed Qasim	NSH	22	1027	1.75	50.0%	0.18	0.26	0.35	3.0	40.0%	38.5%
Joaquín Valiente	DAL	26	1801	1.75	77.1%	0.50	0.45	0.55	3.7	38.2%	19.0%
Juan Manuel Sanabria	RSL	24	1904	1.75	64.9%	1.18	2.27	0.24	2.9	55.3%	53.7%
Alex Roldan	SEA	23	1544	1.75	66.7%	1.52	3.26	0.17	4.5	59.4%	62.2%
Eddie Segura	LAFC	24	2070	1.74	70.0%	0.87	2.96	0.35	3.7	52.3%	56.9%
Malte Amundsen	CLB	23	1917	1.74	62.2%	1.78	3.10	0.09	3.6	56.1%	47.5%
Ervin Torres	ATX	15	934	1.73	66.7%	0.87	1.25	0.00	3.9	45.0%	26.7%
André Gomes	CLB	21	1455	1.73	67.9%	0.68	0.93	0.37	6.1	46.1%	42.9%
Reid Roberts	SJ	24	2135	1.73	68.3%	1.10	3.84	0.13	4.2	58.1%	50.7%
Kye Rowles	DC	21	1928	1.73	62.2%	1.68	6.86	0.05	2.9	51.8%	44.7%
Ian James	SKC	15	939	1.73	61.1%	0.96	3.07	0.10	2.0	55.2%	41.2%
Danley Jean Jacques	PHI	26	2244	1.72	69.8%	1.76	0.96	0.24	5.6	52.5%	45.9%
Júnior Alonso	ATL	13	1149	1.72	72.7%	0.94	4.31	0.23	4.2	59.7%	64.3%
Hugo Cuypers	CHI	11	998	1.71	78.9%	0.45	1.26	0.63	3.2	48.6%	37.1%
Kaick	DAL	28	2105	1.71	72.5%	1.11	1.41	0.21	4.1	51.1%	50.0%
Ryan Porteous	LAFC	24	2068	1.70	66.7%	1.13	5.70	0.13	3.8	67.4%	68.0%
Shaq Moore	DAL	27	2388	1.70	62.2%	1.17	3.47	0.11	4.9	57.4%	47.4%
Sergi Palencia	LAFC	13	957	1.69	55.6%	0.85	2.07	0.19	3.0	48.7%	40.0%
Wil Trapp	MIN	27	1866	1.69	54.3%	0.96	0.92	0.10	3.9	51.6%	41.7%
Nouhou Tolo	SEA	27	2303	1.68	69.8%	1.49	3.95	0.08	5.4	55.6%	45.1%
Ronald Donkor	RBNY	26	2204	1.67	63.4%	0.98	0.65	0.16	5.7	47.1%	57.6%
Lukas MacNaughton	STL	23	1130	1.67	57.1%	1.43	5.58	0.08	4.3	54.5%	62.0%
Walker Zimmerman	TOR	21	1670	1.67	67.7%	1.67	5.98	0.11	2.7	67.4%	76.8%
Hassani Dotson	SEA	18	979	1.67	72.2%	1.95	2.22	0.28	3.4	50.5%	48.6%
Jeisson Palacios	NSH	22	1893	1.66	71.4%	1.14	4.85	0.10	4.3	66.0%	57.9%
Samuel Junqua	RSL	19	1137	1.66	71.4%	0.71	3.25	0.08	2.2	56.3%	50.0%
Elías Baez	ATL	25	2221	1.66	65.9%	1.05	2.31	0.36	3.5	48.0%	47.8%
Casemiro	MIA	12	1093	1.65	50.0%	1.56	4.45	0.00	4.4	59.0%	63.0%
Nicolás Fernández	NYC	27	2413	1.64	68.2%	0.30	0.26	0.63	4.4	55.7%	38.2%
Niko Tsakiris	SJ	19	1489	1.63	63.0%	0.36	0.48	0.54	2.4	45.3%	12.5%
Micael	MIA	19	1711	1.63	74.2%	1.31	3.68	0.11	4.0	57.3%	64.1%
Hannes Wolf	NYC	22	1387	1.62	64.0%	0.78	0.52	0.58	4.9	39.3%	12.5%
Artur	HOU	20	1556	1.62	50.0%	1.45	1.74	0.40	4.2	58.6%	62.5%
Telasco Segovia	MIA	25	1890	1.62	64.7%	0.81	0.57	0.33	5.6	41.2%	37.5%
Tomas Totland	STL	23	1669	1.62	50.0%	1.51	2.10	0.22	3.7	51.1%	60.0%
Jamar Ricketts	SJ	25	1671	1.62	70.0%	1.02	2.53	0.32	4.6	54.1%	42.9%
Joshua Atencio	COL	24	1456	1.61	53.8%	1.55	1.24	0.19	4.1	41.6%	50.0%

The top 150 of 367 players are listed; every player with a page is linked from the club pages.

Goalkeepers

2026 MLS goalkeepers
Player	Club	Apps	MIN	SV/90	SVB/90	PUN/90	SWP/90	PASS%	LB%
Brad Stuver	ATX	27	2465	4.64	2.96	0.29	0.22	66.7%	40.0%
Kristijan Kahlina	CLT	28	2543	4.35	2.83	0.42	0.07	79.6%	48.5%
Maxime Crépeau	ORL	27	2380	4.35	2.99	0.23	0.30	73.0%	38.8%
James Pantemis	POR	27	2465	3.91	2.67	0.77	0.47	76.8%	40.0%
Andy Thomas	SEA	27	2448	3.86	2.50	0.55	0.29	71.4%	36.0%
Matt Turner	NE	27	2451	3.78	2.53	0.26	0.37	74.8%	39.3%
JT Marcinkowski	LA	23	2067	3.74	3.00	0.39	0.78	68.5%	32.7%
Stefan Cleveland	SKC	18	1640	3.57	2.09	0.27	0.22	71.3%	38.6%
CJ dos Santos	SD	14	1284	3.50	2.24	0.49	0.70	85.2%	35.9%
Sean Johnson	DC	27	2501	3.45	2.23	0.47	0.29	54.3%	27.3%
Roman Celentano	CIN	23	2079	3.38	2.12	0.48	0.22	77.6%	52.2%
Angus Gunn	SJ	12	1099	3.36	2.54	0.25	0.82	73.9%	34.1%
Matt Freese	NYC	28	2529	3.35	2.14	0.25	0.36	74.9%	36.1%
Ethan Horvath	RBNY	28	2500	3.31	2.52	0.25	0.83	73.1%	27.9%
Duran Ferree	SD	15	1196	3.24	2.26	0.30	1.28	90.5%	45.7%
Luka Gavran	TOR	27	2381	3.10	1.97	0.49	0.91	64.1%	36.1%
Drake Callender	MIN	28	2499	3.10	1.98	0.18	0.22	56.1%	33.5%
Hugo Lloris	LAFC	25	2264	3.06	1.63	0.28	0.32	64.0%	36.6%
Thomas Gillier	MTL	18	1652	3.00	1.96	0.44	0.60	74.9%	34.8%
Chris Brady	CHI	27	2434	2.88	1.52	0.41	0.41	75.7%	39.2%
Patrick Schulte	CLB	28	2549	2.79	1.80	0.18	0.67	80.7%	35.6%
Jonathan Bond	HOU	27	2402	2.66	1.57	0.41	0.41	80.8%	46.8%
Brian Schwake	NSH	28	2550	2.65	1.98	0.39	0.28	74.3%	41.5%
Dayne St. Clair	MIA	23	2110	2.64	1.75	0.26	0.98	82.6%	43.6%
Rafael	RSL	27	2451	2.64	1.87	0.29	0.33	79.4%	41.8%
Michael Collodi	DAL	13	1179	2.52	1.68	0.92	0.76	65.4%	42.4%
Nico Hansen	COL	17	1548	2.44	1.80	0.47	1.10	86.8%	47.9%
Roman Bürki	STL	26	2383	2.42	1.51	0.38	0.42	79.1%	43.8%
Lucas Hoyos	ATL	28	2545	2.37	1.66	0.25	0.53	74.4%	43.0%
Andre Blake	PHI	27	2459	2.20	1.72	0.55	0.62	69.0%	45.1%
Yohei Takaoka	VAN	26	2288	1.93	1.42	0.20	0.87	85.5%	51.3%
Ronaldo Vieira	SJ	22	1752	1.00	0.00	0.00	0.00	85.5%	54.4%
Jayden Reid	SKC	19	1119	0.00	0.00	0.00	0.00	84.0%	24.3%

Clubs: chance quality, defending and style

Results and chance difference

2026 MLS results and chance difference, per match (rank among 30 clubs)
Club	PPM	CS	xGD	xG	xGA
Nashville SC	2.28 (1st)	0.48 (1st)	+0.4 (4th)	1.62 (8th)	1.21 (5th)
Inter Miami CF	1.79 (2nd)	0.21 (11th)	+0.4 (5th)	2.00 (2nd)	1.64 (23rd)
Vancouver Whitecaps	1.79 (2nd)	0.41 (3rd)	+1.2 (1st)	2.06 (1st)	0.85 (1st)
St. Louis CITY SC	1.76 (4th)	0.17 (14th)	+0.5 (3rd)	1.57 (11th)	1.11 (2nd)
FC Dallas	1.72 (5th)	0.24 (7th)	+0.1 (13th)	1.48 (17th)	1.37 (12th)
New England Revolution	1.69 (6th)	0.17 (14th)	+0.2 (10th)	1.55 (12th)	1.36 (11th)
Chicago Fire FC	1.66 (7th)	0.24 (7th)	+0.3 (7th)	1.61 (9th)	1.34 (9th)
San Jose Earthquakes	1.62 (8th)	0.24 (7th)	+0.3 (6th)	1.71 (6th)	1.38 (13th)
Charlotte FC	1.59 (9th)	0.17 (14th)	-0.0 (16th)	1.50 (14th)	1.53 (18th)
Houston Dynamo FC	1.59 (9th)	0.38 (4th)	-0.1 (20th)	1.14 (28th)	1.29 (7th)
Philadelphia Union	1.55 (11th)	0.21 (11th)	+0.5 (2nd)	1.83 (3rd)	1.34 (9th)
LAFC	1.50 (12th)	0.43 (2nd)	+0.3 (8th)	1.49 (15th)	1.24 (6th)
Seattle Sounders FC	1.41 (13th)	0.28 (6th)	+0.1 (14th)	1.36 (22nd)	1.29 (7th)
Orlando City SC	1.31 (14th)	0.14 (22nd)	-0.4 (28th)	1.59 (10th)	2.02 (28th)
Colorado Rapids	1.31 (14th)	0.31 (5th)	+0.2 (9th)	1.39 (19th)	1.19 (3rd)
LA Galaxy	1.30 (16th)	0.17 (14th)	-0.2 (22nd)	1.41 (18th)	1.63 (21st)
FC Cincinnati	1.29 (17th)	0.07 (28th)	-0.1 (17th)	1.74 (4th)	1.79 (26th)
Red Bull New York	1.24 (18th)	0.14 (22nd)	-0.2 (23rd)	1.72 (5th)	1.96 (27th)
D.C. United	1.18 (19th)	0.21 (11th)	-0.1 (20th)	1.38 (20th)	1.54 (19th)
New York City FC	1.14 (20th)	0.17 (14th)	-0.1 (18th)	1.35 (23rd)	1.46 (15th)
Toronto FC	1.14 (20th)	0.10 (26th)	-0.3 (25th)	1.26 (27th)	1.52 (17th)
Portland Timbers	1.14 (20th)	0.03 (29th)	-0.3 (26th)	1.37 (21st)	1.68 (25th)
Real Salt Lake	1.14 (20th)	0.10 (26th)	+0.1 (14th)	1.49 (15th)	1.42 (14th)
San Diego FC	1.14 (20th)	0.24 (7th)	-0.1 (18th)	1.52 (13th)	1.63 (21st)
Columbus Crew	1.10 (25th)	0.17 (14th)	+0.1 (11th)	1.33 (26th)	1.19 (3rd)
Minnesota United FC	1.07 (26th)	0.17 (14th)	+0.1 (12th)	1.63 (7th)	1.49 (16th)
Austin FC	1.07 (26th)	0.17 (14th)	-1.1 (30th)	0.97 (30th)	2.05 (30th)
Atlanta United FC	1.03 (28th)	0.14 (22nd)	-0.2 (23rd)	1.35 (23rd)	1.58 (20th)
CF Montréal	0.83 (29th)	0.14 (22nd)	-0.3 (27th)	1.34 (25th)	1.66 (24th)
Sporting Kansas City	0.76 (30th)	0.03 (29th)	-1.0 (29th)	1.01 (29th)	2.03 (29th)

Attack

2026 MLS attack, per match (rank among 30 clubs)
Club	SH	SOT	BC	xG/SH	BOX%	NPxG	xGOT
Vancouver Whitecaps	16.8 (1st)	5.9 (3rd)	3.44 (2nd)	0.114 (12th)	66.4% (7th)	1.90 (2nd)	2.16 (2nd)
Philadelphia Union	16.5 (2nd)	5.4 (4th)	2.82 (4th)	0.107 (16th)	63.0% (19th)	1.71 (3rd)	1.82 (8th)
Inter Miami CF	15.1 (3rd)	6.1 (1st)	3.61 (1st)	0.127 (1st)	64.5% (13th)	1.92 (1st)	2.42 (1st)
FC Cincinnati	14.6 (4th)	6.0 (2nd)	3.04 (3rd)	0.115 (11th)	63.7% (17th)	1.59 (7th)	2.03 (3rd)
LAFC	14.4 (5th)	4.8 (15th)	2.54 (14th)	0.100 (22nd)	61.4% (22nd)	1.52 (12th)	1.44 (21st)
Real Salt Lake	14.0 (6th)	5.3 (6th)	2.43 (16th)	0.102 (20th)	58.7% (26th)	1.53 (10th)	1.55 (17th)
Chicago Fire FC	14.0 (7th)	5.1 (8th)	2.78 (8th)	0.107 (16th)	62.6% (20th)	1.54 (9th)	1.85 (5th)
Red Bull New York	14.0 (8th)	4.9 (11th)	2.18 (23rd)	0.119 (7th)	69.6% (3rd)	1.64 (4th)	1.53 (18th)
Seattle Sounders FC	13.6 (9th)	5.1 (8th)	2.33 (20th)	0.093 (27th)	65.9% (10th)	1.28 (23rd)	1.46 (20th)
Minnesota United FC	13.5 (10th)	4.7 (18th)	2.79 (6th)	0.117 (9th)	69.3% (4th)	1.61 (5th)	1.66 (15th)
San Jose Earthquakes	13.4 (11th)	5.0 (10th)	2.79 (6th)	0.123 (4th)	70.8% (2nd)	1.53 (10th)	1.84 (6th)
St. Louis CITY SC	13.4 (12th)	4.9 (11th)	2.38 (18th)	0.109 (14th)	64.0% (14th)	1.55 (8th)	1.80 (9th)
Portland Timbers	13.4 (13th)	4.5 (25th)	2.70 (10th)	0.095 (26th)	58.8% (25th)	1.30 (20th)	1.44 (21st)
Columbus Crew	13.2 (14th)	4.7 (20th)	2.43 (16th)	0.098 (23rd)	58.6% (27th)	1.22 (25th)	1.40 (23rd)
Nashville SC	13.0 (15th)	5.3 (5th)	2.68 (11th)	0.120 (6th)	63.8% (16th)	1.61 (5th)	1.95 (4th)
LA Galaxy	13.0 (16th)	5.3 (7th)	2.00 (26th)	0.105 (18th)	66.2% (9th)	1.36 (17th)	1.70 (14th)
D.C. United	13.0 (17th)	4.5 (24th)	2.20 (22nd)	0.103 (19th)	56.5% (29th)	1.26 (24th)	1.36 (24th)
CF Montréal	12.9 (18th)	4.8 (17th)	1.78 (28th)	0.096 (24th)	55.7% (30th)	1.15 (27th)	1.30 (27th)
Atlanta United FC	12.9 (19th)	4.0 (29th)	1.96 (27th)	0.101 (21st)	59.8% (24th)	1.35 (18th)	1.24 (29th)
Houston Dynamo FC	12.8 (20th)	4.2 (27th)	2.15 (24th)	0.083 (30th)	57.6% (28th)	1.11 (28th)	1.19 (30th)
New England Revolution	12.4 (21st)	4.8 (15th)	2.35 (19th)	0.116 (10th)	61.5% (21st)	1.45 (14th)	1.80 (9th)
Toronto FC	12.2 (22nd)	4.5 (22nd)	2.04 (25th)	0.096 (24th)	63.4% (18th)	1.32 (19th)	1.51 (19th)
Colorado Rapids	12.2 (22nd)	4.4 (26th)	2.54 (14th)	0.109 (14th)	65.3% (11th)	1.30 (20th)	1.30 (27th)
Orlando City SC	12.2 (24th)	4.9 (13th)	2.82 (4th)	0.126 (3rd)	69.1% (5th)	1.50 (13th)	1.80 (9th)
FC Dallas	12.0 (25th)	4.7 (20th)	2.71 (9th)	0.119 (7th)	66.2% (8th)	1.37 (16th)	1.72 (13th)
San Diego FC	12.0 (26th)	4.5 (23rd)	2.61 (12th)	0.123 (4th)	66.9% (6th)	1.29 (22nd)	1.73 (12th)
New York City FC	11.7 (27th)	4.7 (19th)	2.25 (21st)	0.112 (13th)	63.9% (15th)	1.16 (26th)	1.56 (16th)
Charlotte FC	11.4 (28th)	4.9 (14th)	2.61 (12th)	0.127 (1st)	71.6% (1st)	1.44 (15th)	1.83 (7th)
Sporting Kansas City	10.8 (29th)	4.2 (28th)	1.56 (29th)	0.087 (29th)	60.2% (23rd)	1.03 (29th)	1.34 (25th)
Austin FC	10.6 (30th)	4.0 (29th)	1.56 (29th)	0.089 (28th)	65.2% (12th)	0.96 (30th)	1.31 (26th)

Chance quality: open play, set pieces and shots on target

2026 MLS chance quality: open play, set pieces and shots on target, per match (rank among 30 clubs)
Club	OPxG	OPxGA	SPxG	SPxGA	xGOT	xGOTA	NPxGA
Inter Miami CF	1.56 (1st)	1.18 (21st)	0.36 (9th)	0.29 (11th)	2.42 (1st)	1.62 (15th)	1.47 (20th)
Vancouver Whitecaps	1.43 (2nd)	0.67 (1st)	0.48 (2nd)	0.15 (1st)	2.16 (2nd)	0.93 (1st)	0.83 (1st)
Red Bull New York	1.34 (3rd)	1.43 (27th)	0.30 (17th)	0.43 (29th)	1.53 (18th)	1.90 (24th)	1.86 (27th)
Nashville SC	1.29 (4th)	0.84 (3rd)	0.32 (13th)	0.29 (11th)	1.95 (4th)	1.10 (2nd)	1.13 (3rd)
Orlando City SC	1.28 (5th)	1.59 (29th)	0.22 (26th)	0.35 (21st)	1.80 (9th)	2.13 (27th)	1.94 (29th)
LAFC	1.25 (6th)	0.92 (6th)	0.27 (20th)	0.27 (7th)	1.44 (21st)	1.23 (6th)	1.19 (6th)
Philadelphia Union	1.24 (7th)	1.08 (18th)	0.48 (2nd)	0.23 (3rd)	1.82 (8th)	1.47 (7th)	1.30 (9th)
New England Revolution	1.22 (8th)	1.04 (12th)	0.23 (24th)	0.28 (9th)	1.80 (9th)	1.62 (15th)	1.32 (12th)
St. Louis CITY SC	1.22 (8th)	0.73 (2nd)	0.33 (11th)	0.32 (16th)	1.80 (9th)	1.17 (4th)	1.05 (2nd)
Real Salt Lake	1.22 (8th)	1.07 (17th)	0.31 (15th)	0.34 (20th)	1.55 (17th)	1.56 (11th)	1.41 (17th)
Chicago Fire FC	1.19 (11th)	0.94 (7th)	0.34 (10th)	0.28 (9th)	1.85 (5th)	1.59 (13th)	1.22 (8th)
FC Cincinnati	1.15 (12th)	1.21 (22nd)	0.44 (5th)	0.35 (21st)	2.03 (3rd)	2.13 (27th)	1.55 (23rd)
FC Dallas	1.14 (13th)	1.04 (12th)	0.23 (24th)	0.26 (5th)	1.72 (13th)	1.64 (18th)	1.30 (9th)
San Jose Earthquakes	1.12 (14th)	1.00 (10th)	0.41 (7th)	0.36 (23rd)	1.84 (6th)	1.59 (13th)	1.36 (14th)
Minnesota United FC	1.12 (14th)	1.05 (15th)	0.49 (1st)	0.26 (5th)	1.66 (15th)	1.79 (22nd)	1.32 (12th)
Atlanta United FC	1.10 (16th)	1.27 (25th)	0.24 (22nd)	0.31 (14th)	1.24 (29th)	1.53 (9th)	1.58 (25th)
Columbus Crew	1.09 (17th)	0.95 (8th)	0.14 (30th)	0.19 (2nd)	1.40 (23rd)	1.63 (17th)	1.15 (4th)
LA Galaxy	1.07 (18th)	1.12 (19th)	0.29 (19th)	0.31 (14th)	1.70 (14th)	1.71 (19th)	1.43 (18th)
San Diego FC	1.03 (19th)	1.25 (24th)	0.26 (21st)	0.32 (16th)	1.73 (12th)	1.80 (23rd)	1.57 (24th)
Charlotte FC	1.01 (20th)	1.22 (23rd)	0.43 (6th)	0.30 (13th)	1.83 (7th)	1.49 (8th)	1.51 (21st)
Colorado Rapids	0.99 (21st)	0.91 (5th)	0.32 (13th)	0.24 (4th)	1.30 (27th)	1.15 (3rd)	1.15 (4th)
Seattle Sounders FC	0.98 (22nd)	1.04 (12th)	0.30 (17th)	0.27 (7th)	1.46 (20th)	1.53 (9th)	1.31 (11th)
Portland Timbers	0.97 (23rd)	1.35 (26th)	0.33 (11th)	0.33 (18th)	1.44 (21st)	2.03 (26th)	1.68 (26th)
New York City FC	0.95 (24th)	1.00 (10th)	0.21 (28th)	0.38 (24th)	1.56 (16th)	1.57 (12th)	1.38 (15th)
Toronto FC	0.94 (25th)	0.98 (9th)	0.38 (8th)	0.41 (26th)	1.51 (19th)	1.77 (21st)	1.39 (16th)
CF Montréal	0.92 (26th)	1.13 (20th)	0.24 (22nd)	0.41 (26th)	1.30 (27th)	1.95 (25th)	1.54 (22nd)
Houston Dynamo FC	0.89 (27th)	0.87 (4th)	0.22 (26th)	0.33 (18th)	1.19 (30th)	1.20 (5th)	1.20 (7th)
Sporting Kansas City	0.86 (28th)	1.48 (28th)	0.17 (29th)	0.42 (28th)	1.34 (25th)	2.34 (30th)	1.91 (28th)
D.C. United	0.80 (29th)	1.06 (16th)	0.46 (4th)	0.40 (25th)	1.36 (24th)	1.71 (19th)	1.46 (19th)
Austin FC	0.65 (30th)	1.59 (29th)	0.31 (15th)	0.43 (29th)	1.31 (26th)	2.17 (29th)	2.01 (30th)

Defence

2026 MLS defence, per match (rank among 30 clubs)
Club	SH AGAINST	SOT AGAINST	BC AGAINST	xGA	SV%	GND%	AER%
Vancouver Whitecaps	8.9 (1st)	3.1 (1st)	1.59 (1st)	0.85 (1st)	58.9% (22nd)	50.3% (14th)	47.6% (22nd)
Philadelphia Union	9.1 (2nd)	3.7 (3rd)	2.57 (18th)	1.34 (9th)	58.5% (24th)	47.9% (27th)	57.4% (2nd)
Nashville SC	10.7 (3rd)	3.5 (2nd)	1.93 (6th)	1.21 (5th)	72.8% (2nd)	51.1% (8th)	50.3% (12th)
Columbus Crew	10.8 (4th)	4.6 (11th)	1.82 (3rd)	1.19 (3rd)	59.4% (20th)	50.3% (15th)	44.3% (26th)
Colorado Rapids	11.4 (5th)	4.0 (6th)	2.54 (17th)	1.19 (3rd)	62.9% (13th)	49.3% (22nd)	57.9% (1st)
St. Louis CITY SC	11.8 (6th)	3.7 (4th)	2.08 (8th)	1.11 (2nd)	61.1% (17th)	49.5% (20th)	52.9% (7th)
Atlanta United FC	12.2 (7th)	4.1 (7th)	3.26 (27th)	1.58 (20th)	56.8% (29th)	50.5% (13th)	49.1% (19th)
New York City FC	12.2 (8th)	4.8 (13th)	2.14 (10th)	1.46 (15th)	67.1% (8th)	53.6% (1st)	50.3% (13th)
Chicago Fire FC	12.2 (9th)	4.3 (9th)	1.93 (6th)	1.34 (9th)	61.9% (16th)	48.1% (26th)	49.8% (16th)
Houston Dynamo FC	12.3 (10th)	3.9 (5th)	1.88 (5th)	1.29 (7th)	65.8% (10th)	51.7% (6th)	55.8% (4th)
Minnesota United FC	12.3 (11th)	5.0 (16th)	2.46 (15th)	1.49 (16th)	61.1% (17th)	47.2% (29th)	52.1% (9th)
FC Dallas	12.5 (12th)	5.0 (17th)	2.32 (13th)	1.37 (12th)	67.1% (9th)	47.4% (28th)	53.8% (6th)
San Jose Earthquakes	12.6 (13th)	4.9 (15th)	2.71 (21st)	1.38 (13th)	67.8% (6th)	48.6% (24th)	43.9% (28th)
Inter Miami CF	12.8 (14th)	4.6 (11th)	2.29 (12th)	1.64 (23rd)	58.6% (23rd)	50.9% (11th)	50.1% (14th)
New England Revolution	13.0 (15th)	5.3 (20th)	2.12 (9th)	1.36 (11th)	67.3% (7th)	51.0% (10th)	49.5% (18th)
LAFC	13.1 (16th)	4.1 (8th)	1.68 (2nd)	1.24 (6th)	76.4% (1st)	50.1% (18th)	51.3% (11th)
Toronto FC	13.2 (17th)	5.3 (21st)	2.52 (16th)	1.52 (17th)	57.1% (27th)	53.0% (2nd)	51.5% (10th)
Red Bull New York	13.3 (18th)	5.5 (24th)	3.21 (26th)	1.96 (27th)	57.9% (26th)	45.4% (30th)	49.7% (17th)
CF Montréal	13.4 (19th)	4.8 (13th)	2.93 (25th)	1.66 (24th)	57.1% (27th)	48.3% (25th)	47.3% (23rd)
Real Salt Lake	13.5 (20th)	4.3 (9th)	2.36 (14th)	1.42 (14th)	57.9% (25th)	50.3% (16th)	48.1% (20th)
San Diego FC	13.7 (21st)	5.5 (23rd)	2.89 (24th)	1.63 (21st)	62.0% (15th)	51.9% (4th)	44.0% (27th)
LA Galaxy	13.7 (22nd)	5.0 (17th)	2.62 (19th)	1.63 (21st)	64.2% (11th)	52.7% (3rd)	47.7% (21st)
Seattle Sounders FC	14.3 (23rd)	5.2 (19th)	1.85 (4th)	1.29 (7th)	70.0% (5th)	49.4% (21st)	50.1% (15th)
D.C. United	14.7 (24th)	5.4 (22nd)	2.72 (22nd)	1.54 (19th)	63.2% (12th)	51.0% (9th)	43.4% (29th)
FC Cincinnati	15.3 (25th)	5.5 (25th)	2.63 (20th)	1.79 (26th)	59.4% (21st)	49.5% (19th)	54.7% (5th)
Portland Timbers	15.4 (26th)	6.1 (28th)	2.78 (23rd)	1.68 (25th)	60.5% (19th)	51.8% (5th)	56.8% (3rd)
Sporting Kansas City	15.9 (27th)	5.9 (26th)	3.37 (28th)	2.03 (29th)	53.5% (30th)	50.1% (17th)	42.6% (30th)
Orlando City SC	16.8 (28th)	6.5 (30th)	3.39 (30th)	2.02 (28th)	62.6% (14th)	50.8% (12th)	46.9% (24th)
Charlotte FC	16.9 (29th)	6.0 (27th)	2.18 (11th)	1.53 (18th)	70.7% (4th)	48.9% (23rd)	52.3% (8th)
Austin FC	17.0 (30th)	6.5 (29th)	3.37 (28th)	2.05 (30th)	71.1% (3rd)	51.3% (7th)	45.2% (25th)

Possession and set pieces

2026 MLS possession and set pieces, per match (rank among 30 clubs)
Club	POSS	CRN	CRN AGAINST
San Diego FC	59.8% (1st)	4.9 (18th)	4.2 (23rd)
Inter Miami CF	56.9% (2nd)	5.2 (11th)	3.8 (27th)
Columbus Crew	56.1% (3rd)	5.4 (7th)	3.7 (28th)
Vancouver Whitecaps	55.7% (4th)	6.0 (3rd)	3.3 (30th)
Colorado Rapids	55.7% (5th)	5.1 (13th)	4.2 (24th)
Nashville SC	53.9% (6th)	5.4 (8th)	3.9 (26th)
New York City FC	53.6% (7th)	3.7 (30th)	4.8 (20th)
St. Louis CITY SC	52.5% (8th)	5.4 (9th)	4.8 (21st)
Red Bull New York	52.1% (9th)	5.8 (5th)	5.1 (13th)
Chicago Fire FC	51.4% (10th)	4.2 (27th)	5.1 (13th)
Portland Timbers	51.1% (11th)	4.7 (22nd)	5.9 (6th)
Atlanta United FC	51.0% (12th)	5.0 (16th)	5.4 (12th)
Seattle Sounders FC	51.0% (13th)	5.6 (6th)	6.2 (3rd)
FC Cincinnati	50.9% (14th)	5.2 (12th)	5.1 (16th)
New England Revolution	50.7% (15th)	4.7 (22nd)	5.8 (9th)
Orlando City SC	49.8% (16th)	4.1 (28th)	6.7 (1st)
Austin FC	48.9% (17th)	4.5 (24th)	6.0 (4th)
Real Salt Lake	48.8% (18th)	4.8 (20th)	5.9 (6th)
San Jose Earthquakes	48.6% (19th)	6.2 (1st)	4.8 (18th)
CF Montréal	48.6% (20th)	5.0 (17th)	4.8 (18th)
LA Galaxy	48.4% (21st)	5.1 (13th)	4.0 (25th)
Philadelphia Union	47.4% (22nd)	6.0 (3rd)	3.5 (29th)
Houston Dynamo FC	47.3% (23rd)	4.3 (26th)	4.7 (22nd)
LAFC	46.6% (24th)	6.1 (2nd)	5.1 (13th)
Charlotte FC	46.2% (25th)	4.7 (21st)	5.9 (5th)
Minnesota United FC	45.8% (26th)	5.2 (10th)	5.0 (17th)
Toronto FC	45.1% (27th)	5.1 (13th)	5.7 (10th)
Sporting Kansas City	44.7% (28th)	4.0 (29th)	5.9 (6th)
FC Dallas	42.4% (29th)	4.4 (25th)	6.2 (2nd)
D.C. United	38.2% (30th)	4.8 (19th)	5.6 (11th)

What each club figure means

PPM: Points per match.
CS: Clean sheets per match.
xGD: Expected goal difference per match.
xG: Expected goals per match.
xGA: Expected goals against per match.
SH: Shots per match.
SOT: Shots on target per match.
BC: Big chances per match.
xG/SH: Expected goals per shot.
BOX%: Shots from inside the box.
NPxG: Non-penalty expected goals per match.
xGOT: Expected goals on target per match.
OPxG: Open-play expected goals per match.
OPxGA: Open-play expected goals against per match.
SPxG: Set-piece expected goals per match.
SPxGA: Set-piece expected goals against per match.
xGOTA: Expected goals on target against per match.
NPxGA: Non-penalty expected goals against per match.
SH AGAINST: Shots against per match.
SOT AGAINST: Shots on target against per match.
BC AGAINST: Big chances against per match.
xGA/SH: Expected goals per shot conceded.
BOX%A: Share of shots conceded from inside the box.
PKA: Penalties conceded per match.
SV%: Save percentage (saves over shots on target against).
GND%: Ground duels won.
AER%: Aerial duels won.
POSS: Possession, average of matches.
CRN: Corners won per match.
CRN AGAINST: Corners conceded per match.

What each player figure means

MPA: Minutes per appearance.
GS: Starts.
G/90: Goals per 90.
A/90: Assists per 90.
G+A/90: Goals and assists per 90.
xG/90: Expected goals per 90.
xA/90: Expected assists per 90.
SH/90: Shots per 90.
SOT/90: Shots on target per 90.
SOT%: Shots on target, share of shots.
G/SH: Goals, share of shots.
KP/90: Key passes per 90.
BCC/90: Big chances created per 90.
CRS/90: Crosses per 90.
CRS%: Cross completion.
DRB/90: Dribbles completed per 90.
DRB%: Dribble success.
TCH/90: Touches per 90.
PASS/90: Passes per 90.
PASS%: Pass completion.
LB%: Long ball completion.
TKL/90: Tackles per 90.
TKL%: Tackles won, share of tackles.
INT/90: Interceptions per 90.
CLR/90: Clearances per 90.
BLK/90: Blocked shots per 90.
REC/90: Ball recoveries per 90.
DUEL%: Duels won.
AER%: Aerial duels won.

This page shows statistics and results only. It contains no sportsbook prices or betting lines. Current markets and StatsNext research are in the app.

Related research

MLS table and results
MLS player statistics
MLS team statistics: attack and defense
MLS xG table
Open StatsNext: Stats Explorer with finishing, shot quality, creation, possession, defending and goalkeeping tables for players, and shooting, chance quality, duels and set pieces for clubs