2022-2023 NBA Schedule Rest Days Analysis

Download NBA Schedule in Excel

Access to NBA schedules in Excel sheet including teams’ and opponents’ rest days.

Click column headers to sort. Reverse the sort order by clicking on it twice. You can pick multiple teams to compare, from the drop-down menu.

TEAMS	TOTAL GAMES	5-IN-7Total Count of 5IN7 Games5th game in 7 days situation	3IN4-B2BTotal Count of 3IN4-B2B Games3rd game in 4 days (also played yesterday) situation. Pattern: ./././X/O/X/X	SOFT-B2BTotal Count of Soft-B2B GamesFollowing some rest, second leg of back-to-back situation. Pattern: ./././X/X	ALL B2BTotal Count of ALL B2B GamesAll back to back games. Formula=(3IN4-B2B) + (Soft-B2B)	TOTAL B2B ON THE ROADTotal Count of B2B Games on RoadAll back to back games to be played on the road. Formula=(3IN4-B2B On the Road) + (Soft-B2B On the Road)	TOTAL B2B AT HOMETotal Count of B2B Games at HomeAll back to back games to be played at home. Formula=(3IN4-B2B At Home) + (Soft-B2B At Home)	3IN4Total Count of 3IN4 Games3rd game in 4 nights (but did not played yesterday) situation. Pattern: ./././X/X/O/X	1 DAY RESTTotal Count of 1-Day Rest GamesGames played with one day rest situation. Pattern: ./././O/X	2 DAYS RESTTotal Count of 2-Days Rest GamesGames played with two days rest situation. Pattern: ./././O/O/X	3+ DAYS RESTTotal Counf of 3+ Days Rest GamesGames played with at least three days rest situation. Pattern: ./././O/O/O/X	FRESHTotal Count of Relatively Fresh GamesWhen the team is rested (fresh) yet the opponent is not rested (tired)	TIREDTotal Count of Relatively Tired GamesWhen the team is not rested (tired) yet the opponent is rested (fresh)	EVENTotal Count of Relatively Even GamesWhen both teams are rested (fresh) OR, both teams are not rested (tired)
Atlanta	82	0	10	3	13	7	6	11	42	12	4	14	10	58
Boston	82	0	11	2	13	9	4	9	43	12	5	6	9	67
Brooklyn	82	2	9	3	14	9	5	12	39	13	4	10	10	62
Charlotte	82	1	7	4	12	6	6	12	42	13	3	5	8	69
Chicago	82	1	11	3	15	7	8	12	38	11	6	7	12	63
Cleveland	82	1	7	4	12	5	7	10	43	14	3	12	9	61
Dallas	82	0	9	4	13	11	2	8	42	17	2	11	11	60
Denver	82	1	9	2	12	7	5	7	47	12	4	11	10	61
Detroit	82	2	9	2	13	8	5	12	40	13	4	9	6	67
Golden State	82	1	10	4	15	10	5	11	37	15	4	7	12	63
Houston	82	0	10	3	13	7	6	11	43	11	4	9	7	66
Indiana	82	1	9	4	14	7	7	12	39	12	5	7	11	64
LA Clippers	82	0	10	5	15	11	4	12	39	10	6	9	13	60
LA Lakers	82	0	10	2	12	10	2	11	42	14	3	13	9	60
Memphis	82	0	8	4	12	6	6	9	43	16	2	9	8	65
Miami	82	1	8	5	14	10	4	12	38	15	3	6	9	67
Milwaukee	82	2	10	1	13	7	6	9	45	10	5	10	7	65
Minnesota	82	1	9	4	14	6	8	12	39	12	5	10	10	62
New Orleans	82	1	6	5	12	6	6	10	42	16	2	9	10	63
New York	82	1	8	3	12	4	8	8	48	9	5	4	9	69
Oklahoma City	82	2	7	4	13	9	4	11	40	15	3	11	10	61
Orlando	82	2	8	3	13	10	3	11	46	6	6	11	8	63
Philadelphia	82	2	8	3	13	10	3	10	43	11	5	11	8	63
Phoenix	82	0	10	2	12	6	6	9	44	14	3	11	6	65
Portland	82	1	10	3	14	6	8	10	43	10	5	7	10	65
Sacramento	82	2	7	6	15	7	8	10	39	14	4	13	10	59
San Antonio	82	1	10	3	14	11	3	9	43	11	5	6	11	65
Toronto	82	2	10	0	12	9	3	9	47	9	5	12	8	62
Utah	82	1	11	3	15	10	5	11	40	10	6	9	8	65
Washington	82	1	8	5	14	7	7	9	40	16	3	9	9	64

Click column headers to sort. Reverse the sort order by clicking on it twice. You can pick multiple teams to compare, from the drop-down menu.

TEAMS	TOTAL GAMES	5-IN-7Total Count of 5IN7 Games5th game in 7 days situation	3IN4-B2BTotal Count of 3IN4-B2B Games3rd game in 4 days (also played yesterday) situation. Pattern: ./././X/O/X/X	SOFT-B2BTotal Count of Soft-B2B GamesFollowing some rest, second leg of back-to-back situation. Pattern: ./././X/X	ALL B2BTotal Count of ALL B2B GamesAll back to back games. Formula=(3IN4-B2B) + (Soft-B2B)	TOTAL B2B ON THE ROADTotal Count of B2B Games on RoadAll back to back games to be played on the road. Formula=(3IN4-B2B On the Road) + (Soft-B2B On the Road)	TOTAL B2B AT HOMETotal Count of B2B Games at HomeAll back to back games to be played at home. Formula=(3IN4-B2B At Home) + (Soft-B2B At Home)	3IN4Total Count of 3IN4 Games3rd game in 4 nights (but did not played yesterday) situation. Pattern: ./././X/X/O/X	1 DAY RESTTotal Count of 1-Day Rest GamesGames played with one day rest situation. Pattern: ./././O/X	2 DAYS RESTTotal Count of 2-Days Rest GamesGames played with two days rest situation. Pattern: ./././O/O/X	3+ DAYS RESTTotal Counf of 3+ Days Rest GamesGames played with at least three days rest situation. Pattern: ./././O/O/O/X	FRESHTotal Count of Relatively Fresh GamesWhen the opponent is rested (fresh) yet the own team is not rested (tired)	TIREDTotal Count of Relatively Tired GamesWhen the opponent team is not rested (tired) yet the own team is rested (fresh)	EVENTotal Count of Relatively Even GamesWhen both teams are rested (fresh) OR, both teams are not rested (tired)
Atlanta	82	1	12	5	18	11	7	11	36	14	3	10	14	58
Boston	82	2	9	1	12	4	8	13	37	15	5	9	6	67
Brooklyn	82	1	11	1	13	9	4	13	37	12	7	10	10	62
Charlotte	82	0	4	4	8	5	3	5	52	13	4	8	5	69
Chicago	82	2	6	3	11	5	6	9	45	14	3	12	7	63
Cleveland	82	0	10	4	14	6	8	9	45	8	6	9	12	61
Dallas	82	1	12	1	14	8	6	10	44	12	2	11	11	60
Denver	82	0	10	2	12	8	4	13	38	11	8	10	11	61
Detroit	82	1	10	4	15	9	6	8	44	11	4	6	9	67
Golden State	82	1	7	2	10	6	4	7	46	10	9	12	7	63
Houston	82	0	7	8	15	9	6	10	43	11	3	7	9	66
Indiana	82	1	6	3	10	9	1	13	39	15	5	11	7	64
LA Clippers	82	0	9	2	11	8	3	15	43	12	1	13	9	60
LA Lakers	82	2	13	3	18	15	3	5	39	13	7	9	13	60
Memphis	82	1	10	3	14	5	9	11	39	13	5	8	9	65
Miami	82	1	8	2	11	7	4	13	46	9	3	9	6	67
Milwaukee	82	1	11	3	15	10	5	7	45	12	3	7	10	65
Minnesota	82	2	9	4	15	8	7	14	43	8	2	10	10	62
New Orleans	82	2	8	2	12	7	5	5	39	23	3	10	9	63
New York	82	1	5	1	7	6	1	10	49	14	2	9	4	69
Oklahoma City	82	1	7	5	13	9	4	8	39	15	7	10	11	61
Orlando	82	1	9	5	15	10	5	11	40	14	2	8	11	63
Philadelphia	82	0	11	3	14	5	9	15	35	12	6	8	11	63
Phoenix	82	0	13	4	17	11	6	10	43	11	1	6	11	65
Portland	82	2	5	5	12	8	4	10	44	13	3	10	7	65
Sacramento	82	1	11	5	17	10	7	14	32	14	5	10	13	59
San Antonio	82	0	3	5	8	2	6	8	50	11	5	11	6	65
Toronto	82	4	12	2	18	11	7	6	41	13	4	8	12	62
Utah	82	1	12	3	16	8	8	9	45	10	2	8	9	65
Washington	82	0	9	4	13	9	4	17	38	10	4	9	9	64

NBA Rest Days Explained

For each team, we take team schedules and tag the “game-day”s and “off-day”s. This way, we can analyze the rest days patterns. Let’s code: X as the game-day, and O, as the off-day.

GAME DAYS WITH NO REST:

~~4IN5-B2B: 4th game in 5 days w/ playing on last 2 consecutive nights. Pattern=…X+X+O+[X+X]~~
Side note: The NBA avoided scheduling “4IN5” games starting from 2017-18 season!
3IN4-B2B: 3rd game in 4 days w/ playing on last 2 consecutive days. Pattern=…X+O+[X+X]
Soft-B2B: 2nd game in 2 consecutive days. Pattern=…[X+X]

AT LEAST 1 DAY REST:

3IN4: 3rd game in 4 days and had 1 day rest yesterday. Pattern=…X+X+O+X
1: Had 1 day rest (yesterday) and a playing a game today. Pattern=…O+X
2: Had 2 days rest and a playing a game a game today. Pattern=…O+O+X
3+: 3 or more days rest and playing a game today. Pattern=…O+O+O+X