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	Shai Gilgeous-Alexander OKC	122.0	1,277	1,558	8.4%	73.7%
2	Jaylin Williams OKC	104.5	310	324	11.0%	70.8%
3	DeMar DeRozan SAC	114.5	896	1,026	6.1%	70.1%
4	Luka Dončić LAL	110.6	1,383	1,530	11.0%	69.7%
5	Dennis Schröder CLE	92.4	577	533	13.2%	68.9%
6	Khris Middleton DAL	91.4	479	438	15.4%	68.0%
7	Anthony Edwards MIN	108.8	1,078	1,173	10.6%	67.7%
8	Draymond Green GSW	81.4	479	390	23.6%	67.5%
9	Luguentz Dort OKC	93.6	406	380	6.7%	67.3%
10	Onyeka Okongwu ATL	104.4	720	752	11.5%	67.3%
11	Evan Mobley CLE	108.0	739	798	10.0%	66.8%
12	Bobby Portis MIL	114.6	562	644	4.8%	66.7%
13	Davion Mitchell MIA	101.1	447	452	15.0%	66.6%
14	Brook Lopez LAC	101.4	416	422	9.6%	66.5%
15	Jay Huff IND	102.6	470	482	10.4%	66.5%
16	Collin Gillespie PHX	101.1	653	660	11.9%	66.3%
17	Bam Adebayo MIA	100.2	961	963	7.1%	66.2%
18	Isaiah Joe OKC	117.8	382	450	6.8%	66.0%
19	Walter Clayton Jr. MEM	85.5	394	337	17.0%	66.0%
20	Klay Thompson DAL	102.1	525	536	7.2%	65.7%
21	Nikola Vučević BOS	111.6	610	681	7.5%	65.7%
22	Donovan Mitchell CLE	110.0	1,159	1,275	10.4%	65.5%
23	Paolo Banchero ORL	95.7	1,072	1,026	12.7%	65.4%
24	Maxime Raynaud SAC	109.6	520	570	10.8%	65.3%
25	AJ Green MIL	117.0	459	537	10.5%	65.2%
26	Devin Booker PHX	98.2	1,054	1,035	13.5%	65.1%
27	Chet Holmgren OKC	113.6	660	750	8.6%	65.1%
28	Myles Turner MIL	112.8	524	591	9.4%	64.9%
29	Luke Kennard LAL	125.2	330	413	12.4%	64.8%
30	Rob Dillingham CHI	76.8	289	222	18.0%	64.8%
31	Cason Wallace OKC	96.3	438	422	10.5%	64.7%
32	Deni Avdija POR	97.8	1,018	996	16.5%	64.4%
33	Bub Carrington WAS	91.6	617	565	18.8%	64.4%
34	Jalen Johnson ATL	92.3	1,051	970	14.8%	64.3%
35	Reed Sheppard HOU	99.3	704	699	10.1%	64.2%
36	Stephon Castle SAS	93.4	770	719	18.3%	64.2%
37	CJ McCollum ATL	104.6	888	929	10.0%	64.1%
38	Andrew Wiggins MIA	95.6	635	607	10.4%	64.0%
39	Donte DiVincenzo MIN	101.4	635	644	9.0%	63.9%
40	Noah Clowney BKN	99.8	535	534	9.2%	63.9%
41	Russell Westbrook SAC	85.3	721	615	17.5%	63.8%
42	Ace Bailey UTA	98.0	646	633	8.0%	63.8%
43	Zion Williamson NOP	111.1	723	803	11.9%	63.7%
44	Ryan Rollins MIL	97.3	826	804	14.5%	63.7%
45	Victor Wembanyama SAS	114.7	914	1,048	9.4%	63.7%
46	Cooper Flagg DAL	94.9	958	909	11.0%	63.7%
47	Norman Powell MIA	109.5	716	784	9.6%	63.6%
48	Derrick White BOS	100.4	845	848	9.7%	63.6%
49	Jarace Walker IND	93.1	579	539	12.1%	63.6%
50	Quinten Post GSW	95.8	311	298	11.3%	63.6%

Top mid clock frequency leaders

The current 2025-26 Season NBA leaders in play context mid clock frequency are Shai Gilgeous-Alexander (73.7%, OKC), Jaylin Williams (70.8%, OKC), DeMar DeRozan (70.1%, SAC), Luka Dončić (69.7%, LAL), and Dennis Schröder (68.9%, CLE).

Stat leaders

Play contexts

Mid clock frequency

NBA

WNBA

Methodology