2021-2022 NBA Rest Days Stats

NBA Rest Days & Team Data & Odds in Excel
We deliver game-by-game NBA rest days datasets in Excel throughout the entire season. Updates will be available within 2 to 4 hours following the completion of the last game.
Learn More About NBA Rest Days Datasets
The NBA teams that take place in today’s slate and their past performance under the same rest day situation are shown in green.
Click column headers to sort NBA rest days stats. Reverse the sort order by clicking on it twice.
Type any team name in the search box to single out NBA rest days stats.
RANKTEAM NAMEOPPONENT
TODAY		4IN5-B2B
GP4IN5-B2B Games PlayedTotal number of games played in 4th game in 5 days situation		4IN5-B2B
W%4IN5-B2B Games Winning PercentagePercentage of games won played in 4th game in 5 days situation		4IN5-B2B
AED4IN5-B2B Games Adjusted Efficiency DifferentialEfficiency differential in 4th game in 5 days situation		3IN4-B2B
GP3IN4-B2B Games PlayedTotal number of games played in 3rd game -also played yesterday- in 4 days situation		3IN4-B2B
W%3IN4-B2B Games Winning PercentagePercentage of games won played 3rd game -also played yesterday- in 4 days situation		3IN4-B2B
AED3IN4-B2B Games Adjusted Efficiency DifferentialEfficiency differential 3rd game -also played yesterday- in 4 days situation		B2B
GPB2B Games PlayedTotal number of games played in (back-to-back) situation		B2B
W%B2B Games Winning PercentagePercentage of games won played in (back-to-back) situation		B2B
AEDB2B Games Adjusted Efficiency DifferentialEfficiency differential in the (back-to-back) situation		3IN4
GP3IN4 Games PlayedTotal number of games played in (3rd game in 4 days) situation		3IN4
W%3IN4 Games Winning PercentagePercentage of games won played in (3rd game in 4 days) situation		3IN4
AED3IN4 Games Adjusted Efficiency DifferentialEfficiency differential in the (3rd game in 4 days) situation		1 DAY
GP1 DAY Games PlayedTotal number of games played in (having one day rest) situation		1 DAY
W%1 DAY Games Winning PercentagePercentage of games won played in (having one day rest) situation		1 DAY
AED1 DAY Games Adjusted Efficiency DifferentialEfficiency differential in the (having one day rest) situation		2 DAYS
GP2 DAYS Games PlayedTotal number of games played in (having two days rest) situation		2 DAYS
W%2 DAYS Games Winning PercentagePercentage of games won played in (having two days rest) situation		2 DAYS
AED2 DAYS Games Adjusted Efficiency DifferentialEfficiency differential in the (having two days rest) situation		3+ DAYS
GP3+ DAYS Games PlayedTotal number of games played in (having three or more days rest) situation		3+ DAYS
W%3+ DAYS Games Winning PercentagePercentage of games won played in (having three or more days rest) situation		3+ DAYS
AED3+ DAYS Games Adjusted Efficiency DifferentialEfficiency differential in the (having three or more days rest) situation
Atlanta
    0
    0.000
    0.0
    13
    0.462
    6.6
    3
    0.667
    5.5
    10
    0.400
    1.9
    39
    0.641
    11.3
    12
    0.333
    3.7
    5
    0.400
    8.9
Boston
    0
    0.000
    0.0
    9
    0.667
    9.6
    6
    0.333
    2.1
    12
    0.583
    7.6
    37
    0.676
    12.5
    13
    0.615
    7.8
    5
    0.600
    13.5
    Brooklyn
    vs. Cleveland
    1
    0.000
    -18.2
    8
    0.250
    -8.3
    5
    0.200
    -5.3
    11
    0.727
    3.2
    39
    0.564
    -0.6
    15
    0.667
    -2.0
    3
    0.333
    -15.1
Charlotte
    0
    0.000
    0.0
    12
    0.167
    -8.2
    3
    0.000
    -11.9
    13
    0.692
    3.1
    36
    0.583
    -1.2
    13
    0.538
    -4.9
    5
    0.800
    1.2
Chicago
    2
    0.000
    -2.0
    10
    0.700
    3.4
    5
    0.400
    -4.3
    15
    0.533
    -0.1
    36
    0.583
    4.3
    9
    0.333
    -5.5
    5
    1.000
    8.4
    Cleveland
    @Brooklyn
    1
    0.000
    -5.4
    12
    0.500
    -2.5
    2
    0.500
    -4.2
    13
    0.692
    7.4
    38
    0.579
    4.0
    10
    0.500
    4.5
    6
    0.167
    2.9
Dallas
    0
    0.000
    0.0
    10
    0.600
    6.0
    2
    0.500
    9.8
    7
    0.571
    1.4
    48
    0.688
    8.6
    11
    0.727
    9.5
    4
    0.000
    -10.8
Denver
    1
    0.000
    -9.3
    7
    0.429
    0.7
    5
    0.400
    -2.6
    8
    0.500
    1.7
    45
    0.667
    8.9
    12
    0.500
    3.8
    4
    0.750
    14.1
Detroit
    0
    0.000
    0.0
    13
    0.462
    -15.6
    0
    0.000
    0.0
    9
    0.222
    -16.1
    45
    0.222
    -14.1
    10
    0.300
    -15.7
    5
    0.400
    -8.4
Golden State
    0
    0.000
    0.0
    12
    0.750
    8.7
    3
    0.333
    0.0
    11
    0.727
    7.7
    39
    0.564
    5.1
    10
    0.700
    5.8
    7
    0.857
    16.8
Houston
    0
    0.000
    0.0
    11
    0.182
    -17.3
    2
    0.000
    -16.0
    9
    0.444
    -9.3
    44
    0.250
    -12.5
    11
    0.273
    -10.8
    5
    0.000
    -26.0
Indiana
    0
    0.000
    0.0
    10
    0.500
    2.1
    4
    0.250
    -7.7
    10
    0.500
    -1.5
    43
    0.233
    -0.9
    10
    0.300
    0.8
    5
    0.200
    -3.9
    LA Clippers
    @Minnesota
    0
    0.000
    0.0
    12
    0.417
    -1.3
    2
    0.500
    21.7
    12
    0.583
    3.0
    40
    0.525
    -1.3
    11
    0.545
    -2.2
    5
    0.400
    -4.4
LA Lakers
    0
    0.000
    0.0
    9
    0.333
    -2.9
    3
    0.000
    -5.9
    11
    0.545
    -0.5
    44
    0.409
    -8.3
    10
    0.400
    -8.8
    5
    0.400
    -5.5
Memphis
    0
    0.000
    0.0
    8
    0.375
    -2.4
    6
    0.667
    6.4
    9
    0.778
    13.2
    40
    0.725
    7.6
    16
    0.750
    8.2
    3
    0.333
    -0.4
Miami
    1
    0.000
    -4.3
    10
    0.300
    1.4
    3
    0.667
    3.2
    11
    0.727
    9.3
    39
    0.615
    6.8
    15
    0.867
    14.8
    3
    1.000
    27.9
Milwaukee
    0
    0.000
    0.0
    9
    0.556
    -0.4
    5
    0.600
    1.7
    11
    0.545
    7.7
    41
    0.683
    3.2
    10
    0.600
    3.7
    6
    0.500
    9.0
    Minnesota
    vs. LA Clippers
    0
    0.000
    0.0
    9
    0.444
    -6.5
    4
    0.500
    -6.2
    8
    0.750
    9.7
    44
    0.523
    -1.9
    13
    0.538
    -0.6
    4
    1.000
    7.2
New Orleans
    1
    1.000
    18.3
    11
    0.182
    -5.7
    3
    0.000
    -10.3
    9
    0.333
    -4.6
    40
    0.500
    3.0
    13
    0.538
    6.5
    5
    0.600
    -0.3
New York
    0
    0.000
    0.0
    6
    0.667
    4.0
    6
    0.500
    3.4
    10
    0.400
    -3.0
    43
    0.372
    -2.5
    15
    0.600
    3.6
    2
    0.500
    -9.3
Oklahoma City
    0
    0.000
    0.0
    12
    0.083
    -25.5
    2
    0.500
    -13.8
    9
    0.444
    -5.2
    42
    0.262
    -15.3
    12
    0.500
    -8.1
    5
    0.200
    -15.5
Orlando
    0
    0.000
    0.0
    9
    0.222
    -19.3
    7
    0.143
    -20.7
    9
    0.333
    -11.3
    37
    0.297
    -17.4
    17
    0.176
    -17.1
    3
    0.667
    -12.9
Philadelphia
    0
    0.000
    0.0
    9
    0.556
    0.6
    2
    0.500
    3.6
    8
    0.750
    4.5
    48
    0.604
    6.2
    11
    0.545
    -0.4
    4
    1.000
    22.4
Phoenix
    0
    0.000
    0.0
    10
    0.700
    3.7
    4
    0.750
    1.9
    8
    0.750
    7.8
    42
    0.786
    10.4
    14
    0.929
    10.4
    4
    0.500
    8.5
Portland
    0
    0.000
    0.0
    11
    0.364
    -13.1
    4
    0.500
    2.2
    11
    0.364
    -8.8
    39
    0.282
    -13.0
    13
    0.462
    -9.7
    4
    0.000
    -16.7
Sacramento
    0
    0.000
    0.0
    11
    0.364
    -9.8
    3
    0.667
    -4.4
    10
    0.300
    -8.5
    41
    0.317
    -10.2
    12
    0.500
    -7.0
    5
    0.400
    -11.7
San Antonio
    0
    0.000
    0.0
    11
    0.455
    -0.7
    4
    0.250
    -5.5
    8
    0.250
    -8.4
    43
    0.395
    -3.3
    11
    0.636
    11.2
    5
    0.400
    -1.1
Toronto
    3
    0.667
    7.6
    9
    0.667
    4.7
    5
    0.600
    4.2
    13
    0.385
    5.4
    36
    0.639
    7.9
    12
    0.667
    8.6
    4
    0.250
    -13.7
Utah
    0
    0.000
    0.0
    10
    0.300
    6.3
    3
    0.667
    28.0
    13
    0.538
    12.6
    42
    0.548
    11.6
    8
    1.000
    25.4
    6
    1.000
    21.4
Washington
    0
    0.000
    0.0
    11
    0.545
    1.9
    3
    0.667
    2.8
    10
    0.600
    -0.3
    41
    0.366
    -2.0
    13
    0.308
    -5.2
    4
    0.500
    0.7
Stats last updated April 12, 2022
10:22 am.
About the NBA Rest Days and Adjusted Efficiency Differential (AED)

Rest Days Types

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]
Note: NBA has not been scheduling “4IN5-B2B” games since the 2017-18 season, but having to reschedule postponed games necessarily creates 4IN5-B2Bs.
3IN4-B2B: 3rd game in 4 days w/ playing on last 2 consecutive nights. Pattern=…X+O+[X+X]
Note: Some 3IN4-B2B games might also be “5th game in 7 days”. But all “5th game in 7 days” are always a 3IN4-B2B!
B2B: aka “soft back-to-back”. Soft B2B is the situation that the team had some rest and played on both of the following 2 nights. 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

Adjusted Efficiency Differential (AED)

Raw efficiencies (offensive efficiency minus defensive efficiency) are adjusted to account for opponent strength and game location (road/home) Learn more about AED.

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