Stat leaders

Traditional Advanced RAPM Scoring Play contexts On/Off Clutch High Leverage Lineups

Play contexts

Transition frequency Transition efficiency Transition turnover %Early offense frequency Early offense efficiency Early offense turnover %Putbacks frequency Putbacks efficiency Putbacks turnover %Half court frequency Half court efficiency Half court turnover %Mid clock frequency Mid clock efficiency Mid clock turnover %Late clock frequency Late clock efficiency Late clock turnover %

Mid clock efficiency

A half court play with 4 seconds or more on the shot clock Learn more

#		Freq	Plays	Pts	TO%	Efficiency
1	Robert Williams III BOS	53.5%	251	339	14.7%	135.1
2	Dwight Powell DAL	61.6%	337	448	12.2%	132.9
3	Daniel Gafford WAS	56.8%	302	399	10.6%	132.1
4	Clint Capela ATL	52.4%	378	484	5.6%	128.0
5	Rudy Gobert UTA	57.8%	480	592	14.8%	123.3
6	Montrezl Harrell CHA	57.6%	416	504	9.4%	121.2
7	Hassan Whiteside UTA	47.6%	209	253	10.0%	121.1
8	Danilo Gallinari ATL	61.6%	430	518	5.3%	120.5
9	Cameron Johnson PHX	66.2%	447	531	6.9%	118.8
10	Deandre Ayton PHX	69.5%	590	699	10.2%	118.5
11	Grant Williams BOS	60.1%	312	369	11.9%	118.3
12	Brandon Clarke MEM	55.5%	276	326	6.9%	118.1
13	Dorian Finney-Smith DAL	56.6%	457	538	10.5%	117.7
14	Harrison Barnes SAC	65.3%	735	855	9.5%	116.3
15	Jaxson Hayes NOP	57.9%	290	337	10.7%	116.2
16	Lauri Markkanen CLE	61.4%	508	589	6.5%	115.9
17	Nikola Jokić DEN	57.0%	1,011	1,171	16.3%	115.8
18	Luke Kennard LAC	66.6%	475	544	8.4%	114.5
19	Karl-Anthony Towns MIN	67.9%	1,106	1,263	13.1%	114.2
20	Mikal Bridges PHX	60.4%	596	680	6.5%	114.1
21	JaVale McGee PHX	57.6%	348	393	17.5%	112.9
22	Grayson Allen MIL	66.9%	425	477	6.4%	112.2
23	Taurean Prince MIN	54.2%	257	288	7.4%	112.1
24	Nicolas Batum LAC	66.2%	292	327	8.2%	112.0
25	Joel Embiid PHI	63.0%	1,199	1,339	11.0%	111.7
26	Trey Lyles SAC	64.8%	475	530	6.7%	111.6
27	Garrison Mathews HOU	64.9%	360	399	5.0%	110.8
28	Jeff Green DEN	61.4%	415	459	10.8%	110.6
29	Ivica Zubac LAC	56.9%	406	449	16.3%	110.6
30	Max Strus MIA	63.7%	392	433	8.4%	110.5
31	Giannis Antetokounmpo MIL	63.2%	1,137	1,251	10.2%	110.0
32	Georges Niang PHI	67.6%	422	464	8.8%	110.0
33	Amir Coffey LAC	57.8%	304	334	8.9%	109.9
34	Pat Connaughton MIL	62.5%	337	370	7.1%	109.8
35	Jakob Poeltl SAS	60.6%	519	570	11.6%	109.8
36	Moritz Wagner ORL	68.6%	325	356	11.1%	109.5
37	DeMar DeRozan CHI	74.3%	1,460	1,597	8.5%	109.4
38	Zach LaVine CHI	66.2%	999	1,090	11.1%	109.1
39	Monté Morris DEN	60.0%	530	577	8.3%	108.9
40	Kevin Love CLE	66.3%	625	676	9.8%	108.2
41	Tobias Harris PHI	60.3%	735	794	8.6%	108.0
42	Bojan Bogdanović UTA	60.2%	693	748	9.7%	107.9
43	Austin Reaves LAL	55.3%	215	232	11.6%	107.9
44	Keldon Johnson SAS	64.1%	770	829	7.3%	107.7
45	Caleb Martin MIA	53.2%	251	269	10.8%	107.2
46	Carmelo Anthony LAL	58.7%	494	529	5.9%	107.1
47	Jalen Brunson DAL	60.3%	733	784	9.1%	107.0
48	Duncan Robinson MIA	66.2%	524	560	6.5%	106.9
49	Evan Fournier NYK	64.0%	712	760	8.6%	106.7
50	Jarred Vanderbilt MIN	46.0%	225	240	12.9%	106.7

Top mid clock efficiency leaders

The current 2021-22 Season NBA leaders in play context mid clock efficiency are Robert Williams III (135.1, BOS), Dwight Powell (132.9, DAL), Daniel Gafford (132.1, WAS), Clint Capela (128.0, ATL), and Rudy Gobert (123.3, UTA).

Stat leaders

Play contexts

Mid clock efficiency

NBA

WNBA

Methodology