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 turnover %

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

#		Freq	Eff	Plays	Pts	Turnover %
1	Draymond Green GSW	63.4%	89.8	460	413	27.6%
2	Kelly Olynyk UTA	61.4%	109.3	505	552	20.4%
3	Alperen Sengun HOU	60.7%	98.4	674	663	19.3%
4	Marcus Smart BOS	60.9%	87.6	485	425	19.0%
5	T.J. McConnell IND	66.7%	92.4	450	416	18.2%
6	Jalen Duren DET	55.0%	101.0	304	307	18.1%
7	Josh Hart NYK	43.4%	99.0	307	304	17.9%
8	Jaden Ivey DET	64.9%	87.0	888	773	17.9%
9	Russell Westbrook LAC	61.7%	82.9	855	709	17.8%
10	James Harden PHI	58.7%	100.7	692	697	17.5%
11	Zach Collins SAS	65.5%	96.3	483	465	17.4%
12	Daniel Gafford WAS	57.4%	121.4	318	386	17.3%
13	Nikola Jokić DEN	62.5%	121.4	900	1,093	16.8%
14	Nick Richards CHA	49.2%	113.6	214	243	16.8%
15	Domantas Sabonis SAC	62.6%	115.1	853	982	16.1%
16	Trendon Watford POR	61.2%	103.2	249	257	16.1%
17	Jakob Poeltl TOR	60.8%	104.4	505	527	16.0%
18	Ivica Zubac LAC	54.9%	115.3	406	468	16.0%
19	Jonas Valančiūnas NOP	61.5%	105.3	660	695	15.8%
20	Kevin Porter Jr. HOU	66.0%	93.6	777	727	15.8%
21	Talen Horton-Tucker UTA	68.4%	85.2	533	454	15.6%
22	Bol Bol ORL	57.1%	91.5	354	324	15.3%
23	Donte DiVincenzo GSW	63.5%	104.0	425	442	15.1%
24	Walker Kessler UTA	50.4%	125.5	267	335	15.0%
25	Mason Plumlee LAC	52.6%	119.3	388	463	14.9%
26	Rudy Gobert MIN	55.9%	120.2	456	548	14.9%
27	Jock Landale PHX	67.1%	100.7	275	277	14.9%
28	Kyle Anderson MIN	60.5%	103.5	398	412	14.8%
29	Royce O'Neale BKN	54.6%	95.7	399	382	14.8%
30	Ayo Dosunmu CHI	58.2%	95.4	392	374	14.8%
31	Josh Giddey OKC	60.7%	86.9	838	728	14.8%
32	Jrue Holiday MIL	68.5%	97.9	885	866	14.7%
33	D'Angelo Russell LAL	66.0%	98.9	808	799	14.7%
34	Josh Green DAL	55.6%	111.4	273	304	14.7%
35	Goran Dragic MIL	66.4%	90.6	267	242	14.6%
36	Markelle Fultz ORL	62.4%	90.5	549	497	14.6%
37	Jarred Vanderbilt LAL	57.3%	102.3	350	358	14.6%
38	Trae Young ATL	66.9%	95.9	1,321	1,267	14.5%
39	Killian Hayes DET	65.7%	75.6	671	507	14.5%
40	Deni Avdija WAS	58.6%	90.2	448	404	14.5%
41	Bruce Brown DEN	56.4%	95.5	514	491	14.4%
42	Shake Milton PHI	59.9%	93.9	375	352	14.4%
43	Andrew Nembhard IND	63.6%	83.1	497	413	14.3%
44	Austin Reaves LAL	55.7%	117.0	388	454	14.2%
45	Cory Joseph DET	65.0%	92.1	277	255	14.1%
46	Jordan Goodwin WAS	58.8%	92.5	241	223	14.1%
47	Malik Monk SAC	60.6%	97.9	619	606	13.9%
48	Jordan Poole GSW	65.6%	96.0	1,109	1,065	13.9%
49	Aaron Wiggins OKC	55.9%	100.4	237	238	13.9%
50	Mike Conley MIN	65.8%	105.8	514	544	13.8%

Top mid clock turnover % leaders

The current 2022-23 Season NBA leaders in play context mid clock turnover % are Draymond Green (27.6%, GSW), Kelly Olynyk (20.4%, UTA), Alperen Sengun (19.3%, HOU), Marcus Smart (19.0%, BOS), and T.J. McConnell (18.2%, IND).

Stat leaders

Play contexts

Mid clock turnover %

NBA

WNBA

Methodology