2020-2021 NBA Rest Days Stats

NBA Rest Days Data and game-by-game current season stats & odds in Excel
We deliver NBA team 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 Data
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		3IN4-B2B
GP3IN4-B2B Games PlayedTotal number of games played in (3rd game -also played yesterday- in 4 nights) situation		3IN4-B2B
W%3IN4-B2B Games Winning PercentagePercentage of games won played in (3rd game -also played yesterday- in 4 nights) situation		3IN4-B2B
AED3IN4-B2B Games Adjusted Efficiency DifferentialEfficiency differential in (3rd game -also played yesterday- in 4 nights) 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 nights) situation		3IN4
W%3IN4 Games Winning PercentagePercentage of games won played in (3rd game in 4 nights) situation		3IN4
AED3IN4 Games Adjusted Efficiency DifferentialEfficiency differential in the (3rd game in 4 nights) 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
    14
    0.429
    7.2
    1
    0.000
    -4.3
    12
    0.667
    9.1
    35
    0.600
    8.4
    5
    0.600
    16.6
    5
    0.600
    4.7
Boston
    12
    0.500
    6.3
    3
    0.000
    -4.3
    13
    0.462
    1.9
    34
    0.500
    3.1
    7
    0.714
    17.5
    3
    0.667
    8.2
Brooklyn
    9
    0.444
    -0.5
    6
    0.667
    6.9
    9
    0.778
    11.6
    34
    0.676
    9.3
    12
    0.667
    11.4
    2
    1.000
    21.7
Charlotte
    14
    0.429
    -0.6
    2
    0.500
    -8.8
    13
    0.385
    -5.1
    35
    0.457
    -6.3
    4
    0.750
    13.6
    4
    0.500
    -2.8
Chicago
    12
    0.500
    -3.7
    4
    0.250
    -2.6
    15
    0.400
    -0.3
    30
    0.500
    -3.2
    5
    0.400
    -3.2
    5
    0.200
    -8.7
Cleveland
    14
    0.286
    -9.3
    3
    0.333
    -12.7
    12
    0.250
    -10.9
    32
    0.219
    -11.4
    7
    0.714
    1.7
    4
    0.500
    -12.3
Dallas
    12
    0.500
    5.8
    4
    0.500
    -0.8
    14
    0.786
    10.7
    33
    0.515
    3.1
    5
    0.600
    7.8
    4
    0.750
    10.7
Denver
    10
    0.600
    15.6
    3
    0.333
    -1.9
    11
    0.818
    14.5
    38
    0.658
    13.9
    7
    0.714
    11.1
    3
    0.333
    1.5
Detroit
    14
    0.214
    -9.6
    2
    0.000
    -13.1
    12
    0.500
    -7.2
    29
    0.241
    -9.8
    13
    0.308
    -8.4
    2
    0.000
    -6.6
Golden State
    10
    0.400
    -2.9
    5
    0.400
    -17.6
    10
    0.600
    2.3
    33
    0.667
    4.6
    11
    0.364
    -8.8
    3
    0.333
    -21.4
Houston
    13
    0.308
    -14.8
    1
    0.000
    -30.0
    11
    0.091
    -22.9
    40
    0.250
    -16.6
    4
    0.500
    -8.8
    3
    0.000
    -23.6
Indiana
    12
    0.583
    -5.8
    5
    1.000
    6.9
    14
    0.429
    -6.5
    30
    0.433
    -3.8
    8
    0.250
    -13.7
    3
    0.333
    -3.1
LA Clippers
    12
    0.833
    23.1
    1
    1.000
    16.1
    13
    0.308
    4.3
    33
    0.697
    16.2
    11
    0.636
    11.9
    2
    1.000
    25.6
LA Lakers
    10
    0.600
    1.0
    3
    0.667
    7.2
    9
    0.778
    5.0
    39
    0.538
    0.1
    9
    0.556
    1.9
    2
    0.500
    -3.9
Memphis
    13
    0.538
    -5.0
    1
    0.000
    -32.4
    15
    0.467
    -2.8
    34
    0.529
    -2.5
    4
    0.750
    -0.5
    3
    0.667
    5.1
Miami
    10
    0.500
    4.1
    3
    1.000
    13.5
    11
    0.455
    -0.3
    37
    0.541
    0.2
    8
    0.750
    11.9
    3
    0.333
    -9.8
Milwaukee
    12
    0.500
    3.3
    2
    1.000
    12.3
    12
    0.833
    12.8
    33
    0.606
    6.2
    11
    0.636
    5.2
    2
    0.500
    14.2
Minnesota
    14
    0.357
    -9.0
    2
    0.000
    -35.7
    10
    0.300
    -13.0
    35
    0.314
    -13.8
    7
    0.286
    -16.4
    4
    0.500
    -0.4
New Orleans
    9
    0.444
    -0.5
    5
    0.400
    -0.3
    11
    0.455
    -3.7
    37
    0.405
    -0.1
    6
    0.500
    5.6
    4
    0.500
    0.5
New York
    9
    0.667
    11.3
    5
    0.600
    13.0
    11
    0.455
    -0.7
    36
    0.556
    3.6
    7
    0.714
    11.7
    4
    0.500
    3.7
Oklahoma City
    13
    0.231
    -24.4
    4
    0.750
    -11.5
    15
    0.200
    -19.3
    29
    0.345
    -18.4
    7
    0.143
    -26.8
    4
    0.500
    -16.0
Orlando
    8
    0.500
    -12.8
    6
    0.333
    -14.3
    12
    0.333
    -11.2
    36
    0.194
    -17.0
    6
    0.500
    -5.3
    4
    0.250
    -14.7
Philadelphia
    9
    0.556
    6.6
    5
    0.600
    6.6
    12
    0.750
    10.0
    35
    0.714
    9.5
    8
    0.500
    5.6
    3
    1.000
    16.0
Phoenix
    11
    0.545
    2.9
    6
    1.000
    27.4
    14
    0.786
    17.4
    30
    0.733
    12.5
    7
    0.571
    11.4
    4
    0.500
    8.6
Portland
    16
    0.563
    9.8
    1
    0.000
    10.3
    11
    0.727
    8.3
    31
    0.581
    3.7
    10
    0.600
    9.0
    3
    0.333
    -8.9
Sacramento
    12
    0.333
    -2.6
    4
    0.500
    -7.1
    12
    0.417
    -5.3
    32
    0.406
    -2.2
    8
    0.500
    -4.1
    4
    0.750
    10.9
San Antonio
    14
    0.357
    -3.6
    1
    0.000
    -5.5
    13
    0.462
    -4.0
    34
    0.471
    -5.4
    6
    0.833
    0.3
    3
    0.333
    -0.2
Toronto
    12
    0.167
    -9.1
    3
    0.000
    -12.7
    12
    0.417
    -0.1
    31
    0.484
    3.9
    10
    0.400
    -4.9
    3
    0.000
    -14.6
Utah
    10
    0.900
    21.7
    4
    0.750
    9.6
    12
    0.750
    18.0
    35
    0.657
    13.5
    9
    0.667
    16.5
    2
    1.000
    26.2
Washington
    16
    0.438
    -5.6
    1
    0.000
    -6.3
    16
    0.563
    -8.5
    32
    0.531
    -3.9
    4
    0.250
    -9.5
    3
    0.000
    -16.0
Stats last updated May 23, 2021
9:11 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]
Side note: The NBA avoided scheduling “4IN5-B2B” games starting from 2017-18 season!
3IN4-B2B*: 3rd game in 4 days w/ playing on last 2 consecutive nights. Pattern=…X+O+[X+X]
B2B: 2nd game in 2 days w/ playing on the last 2 consecutive 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

*Some of the 3IN4-B2B games might also be “fifth game in 7 days”. But all “fifth game in 7 days” are always a 3IN4-B2B.

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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