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 frequency

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

#		Eff	Plays	Pts	TO%	Frequency
1	DeMar DeRozan CHI	109.1	1,292	1,409	8.7%	77.6%
2	Terrence Ross PHX	103.7	379	393	6.6%	73.0%
3	Doug McDermott SAS	106.5	432	460	8.6%	71.4%
4	Tre Mann OKC	86.0	385	331	10.1%	71.4%
5	Eric Gordon LAC	98.6	574	566	11.7%	70.1%
6	Nikola Vučević CHI	110.0	938	1,032	9.8%	69.3%
7	Damian Lillard POR	114.6	1,120	1,284	11.8%	68.8%
8	Dejounte Murray ATL	95.4	1,066	1,017	9.7%	68.7%
9	De'Andre Hunter ATL	97.8	684	669	8.2%	68.7%
10	Luka Dončić DAL	111.5	1,360	1,517	12.1%	68.6%
11	Naz Reid MIN	112.7	487	549	10.9%	68.6%
12	Jrue Holiday MIL	97.9	885	866	14.7%	68.5%
13	Talen Horton-Tucker UTA	85.2	533	454	15.6%	68.4%
14	AJ Griffin ATL	107.9	394	425	6.3%	68.4%
15	Brook Lopez MIL	120.5	737	888	7.9%	68.3%
16	John Collins ATL	106.5	589	627	8.3%	68.3%
17	Malcolm Brogdon BOS	110.4	614	678	9.9%	67.9%
18	Kristaps Porziņģis WAS	117.3	903	1,059	9.6%	67.7%
19	Malaki Branham SAS	90.7	450	408	10.2%	67.7%
20	Dennis Schröder LAL	93.7	586	549	12.8%	67.6%
21	Deandre Ayton PHX	112.7	738	832	9.2%	67.4%
22	Grayson Allen MIL	102.9	456	469	9.9%	67.2%
23	Chris Paul PHX	97.2	570	554	13.5%	67.1%
24	Jock Landale PHX	100.7	275	277	14.9%	67.1%
25	Shai Gilgeous-Alexander OKC	109.5	1,269	1,389	10.0%	66.9%
26	Trae Young ATL	95.9	1,321	1,267	14.5%	66.9%
27	P.J. Washington CHA	97.7	776	758	9.3%	66.8%
28	T.J. McConnell IND	92.4	450	416	18.2%	66.7%
29	Jalen Brunson NYK	109.1	997	1,088	8.7%	66.6%
30	Zach LaVine CHI	103.2	1,173	1,211	9.7%	66.5%
31	Goran Dragic MIL	90.6	267	242	14.6%	66.4%
32	Jaren Jackson Jr. MEM	108.2	697	754	9.9%	66.1%
33	D'Angelo Russell LAL	98.9	808	799	14.7%	66.0%
34	Kevin Porter Jr. HOU	93.6	777	727	15.8%	66.0%
35	Mike Conley MIN	105.8	514	544	13.8%	65.8%
36	Georges Niang PHI	109.1	372	406	8.3%	65.7%
37	Killian Hayes DET	75.6	671	507	14.5%	65.7%
38	Jordan Poole GSW	96.0	1,109	1,065	13.9%	65.6%
39	Paolo Banchero ORL	92.0	1,022	940	11.7%	65.6%
40	Zach Collins SAS	96.3	483	465	17.4%	65.5%
41	Al Horford BOS	117.2	343	402	5.8%	65.3%
42	Pat Connaughton MIL	99.3	299	297	5.7%	65.1%
43	Cory Joseph DET	92.1	277	255	14.1%	65.0%
44	CJ McCollum NOP	92.7	1,057	980	11.4%	65.0%
45	Kendrick Nunn WAS	95.7	323	309	12.4%	65.0%
46	Jalen Green HOU	93.0	1,137	1,057	12.1%	65.0%
47	Jaden Ivey DET	87.0	888	773	17.9%	64.9%
48	Anthony Edwards MIN	95.8	1,274	1,221	11.4%	64.8%
49	Bojan Bogdanović DET	108.8	739	804	11.1%	64.7%
50	Christian Wood DAL	116.4	640	745	11.1%	64.6%

Top mid clock frequency leaders

The current 2022-23 Season NBA leaders in play context mid clock frequency are DeMar DeRozan (77.6%, CHI), Terrence Ross (73.0%, PHX), Doug McDermott (71.4%, SAS), Tre Mann (71.4%, OKC), and Eric Gordon (70.1%, LAC).

Stat leaders

Play contexts

Mid clock frequency

NBA

WNBA

Methodology