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	Kelly Olynyk TOR	59.6%	102.8	430	442	23.7%
2	Scoot Henderson POR	62.6%	77.2	676	522	19.7%
3	Isaiah Hartenstein NYK	48.3%	112.4	250	281	19.2%
4	Jusuf Nurkić PHX	60.6%	97.5	557	543	18.9%
5	Kris Dunn UTA	66.6%	90.0	259	233	18.9%
6	Amen Thompson HOU	47.4%	88.5	269	238	18.6%
7	Vasilije Micic CHA	68.1%	86.6	329	285	18.5%
8	Day'Ron Sharpe BKN	48.7%	98.4	184	181	18.5%
9	Kyle Lowry PHI	50.7%	98.0	249	244	18.1%
10	Jalen Duren DET	62.7%	107.0	473	506	17.8%
11	James Wiseman DET	61.2%	95.7	232	222	17.7%
12	Keyonte George UTA	64.6%	85.0	680	578	16.8%
13	Russell Westbrook LAC	54.8%	86.6	477	413	16.6%
14	Josh Giddey OKC	59.8%	91.1	631	575	16.6%
15	Kyle Anderson MIN	60.1%	85.4	349	298	16.3%
16	Domantas Sabonis SAC	61.9%	106.0	940	996	16.3%
17	Zach Collins SAS	66.5%	94.7	533	505	16.1%
18	Jaden Ivey DET	59.1%	89.3	746	666	15.8%
19	Nick Richards CHA	50.9%	122.6	265	325	15.5%
20	James Harden LAC	64.0%	107.7	729	785	15.0%
21	Rudy Gobert MIN	57.6%	115.9	521	604	15.0%
22	Precious Achiuwa NYK	49.5%	89.0	281	250	14.9%
23	Victor Wembanyama SAS	61.8%	98.3	987	970	14.7%
24	Bilal Coulibaly WAS	57.3%	84.9	299	254	14.7%
25	Toumani Camara POR	47.2%	98.8	247	244	14.6%
26	Jalen Suggs ORL	53.2%	102.3	487	498	14.4%
27	Cade Cunningham DET	70.4%	93.4	1,046	977	14.4%
28	Jrue Holiday BOS	63.9%	98.9	539	533	14.3%
29	Dyson Daniels NOP	59.5%	87.6	217	190	14.3%
30	Jonas Valančiūnas NOP	58.3%	105.2	535	563	14.2%
31	Alperen Sengun HOU	63.2%	103.8	821	852	14.1%
32	Jeremy Sochan SAS	58.1%	87.1	567	494	14.1%
33	Duncan Robinson MIA	63.0%	108.1	507	548	14.0%
34	Grant Williams CHA	64.6%	99.2	499	495	14.0%
35	Austin Reaves LAL	60.5%	110.2	734	809	14.0%
36	Alex Caruso CHI	58.3%	103.7	402	417	13.9%
37	Malik Monk SAC	66.2%	93.8	741	695	13.9%
38	Andrew Nembhard IND	61.2%	94.6	388	367	13.9%
39	Deni Avdija WAS	57.6%	103.2	619	639	13.9%
40	Dennis Schröder BKN	65.8%	97.9	768	752	13.8%
41	Andre Drummond CHI	45.6%	108.0	300	324	13.7%
42	Herbert Jones NOP	57.4%	107.6	432	465	13.7%
43	Ochai Agbaji TOR	58.6%	78.4	292	229	13.7%
44	Karl-Anthony Towns MIN	70.0%	108.5	873	947	13.6%
45	Paolo Banchero ORL	64.2%	92.6	1,221	1,131	13.5%
46	Marcus Sasser DET	67.7%	90.1	392	353	13.5%
47	LeBron James LAL	55.5%	113.0	931	1,052	13.4%
48	Trayce Jackson-Davis GSW	60.0%	124.8	246	307	13.4%
49	Tre Jones SAS	59.5%	103.3	453	468	13.2%
50	Mike Conley MIN	64.2%	104.7	507	531	13.0%

Top mid clock turnover % leaders

The current 2023-24 Season NBA leaders in play context mid clock turnover % are Kelly Olynyk (23.7%, TOR), Scoot Henderson (19.7%, POR), Isaiah Hartenstein (19.2%, NYK), Jusuf Nurkić (18.9%, PHX), and Kris Dunn (18.9%, UTA).

Stat leaders

Play contexts

Mid clock turnover %

NBA

WNBA

Methodology