Last updated through games completed on
April 12, 2017
In the table below, raw efficiency numbers are adjusted to account for opponent strength and game location (road/home) in an effort to single out the rest days impact more precisely.
The formula for Adjusted Efficiency Differential (AED) = Expected Efficiency Differential*- Actual Efficiency Differential
“Expected Efficiency Differential” first estimates the pace of game and then the expected OEFF & DEFF according to game venue and opponent strength.
Let’s say, Warriors have won some games by a higher margin than expected. For that reason, they might have negative (-) average of “adjusted efficiency differential” (AED) values under different types of restdays.
The formula for Adjusted Efficiency Differential (AED) = Expected Efficiency Differential*- Actual Efficiency Differential
“Expected Efficiency Differential” first estimates the pace of game and then the expected OEFF & DEFF according to game venue and opponent strength.
Let’s say, Warriors have won some games by a higher margin than expected. For that reason, they might have negative (-) average of “adjusted efficiency differential” (AED) values under different types of restdays.
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The teams involved in today’s slate and their performance under the relevant rest day situation are shown in yellow.
2016-2017 NBA REGULAR SEASON REST DAYS TEAM STATS |
NBA PLAYER REST DAYS STATS >> | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Team | Opp | 4IN5-B2B | 3IN4-B2B | B2B | 3IN4 | 1 DAY | 2 DAYS | 3 DAYS+ | ||||||||||||||
| GP | W% | AED | GP | W% | AED | GP | W% | AED | GP | W% | AED | GP | W% | AED | GP | W% | AED | GP | W% | AED | ||
| Atl | – | 0 | 0.000 | 0.0 | 10 | 0.600 | 5.2 | 8 | 0.625 | 4.0 | 13 | 0.462 | 4.3 | 35 | 0.486 | 1.1 | 12 | 0.583 | 5.9 | 4 | 0.500 | 1.9 |
| Bos | – | 1 | 1.000 | 1.2 | 9 | 0.556 | -3.2 | 7 | 0.571 | 0.8 | 13 | 0.846 | 5.9 | 35 | 0.714 | 2.2 | 13 | 0.308 | -8.5 | 4 | 0.750 | 2.2 |
| Bro | – | 0 | 0.000 | 0.0 | 10 | 0.100 | -7.3 | 4 | 0.000 | -6.1 | 10 | 0.300 | -2.6 | 45 | 0.244 | -3.5 | 9 | 0.333 | -1.6 | 4 | 0.500 | 0.8 |
| Cha | – | 1 | 0.000 | -21.1 | 13 | 0.385 | -3.1 | 2 | 0.000 | -6.1 | 10 | 0.400 | -1.7 | 40 | 0.475 | 3.8 | 13 | 0.462 | -0.5 | 3 | 0.667 | 7.3 |
| Chi | – | 1 | 0.000 | -10.6 | 12 | 0.583 | -6.0 | 4 | 0.750 | 7.9 | 13 | 0.385 | -2.4 | 37 | 0.432 | -1.6 | 11 | 0.636 | 5.4 | 4 | 0.750 | -0.4 |
| Cle | – | 0 | 0.000 | 0.0 | 13 | 0.231 | -8.5 | 5 | 0.800 | 3.9 | 11 | 0.636 | 3.7 | 34 | 0.676 | 1.3 | 16 | 0.688 | -0.3 | 3 | 1.000 | 11.8 |
| Dal | – | 1 | 0.000 | 1.6 | 7 | 0.143 | -6.1 | 7 | 0.286 | -2.7 | 11 | 0.727 | 11.0 | 43 | 0.372 | -3.9 | 9 | 0.556 | -0.9 | 4 | 0.250 | -7.9 |
| Den | – | 1 | 0.000 | -14.3 | 12 | 0.333 | -0.1 | 4 | 0.500 | -2.9 | 13 | 0.615 | 7.9 | 36 | 0.500 | 1.3 | 12 | 0.417 | 2.2 | 4 | 0.750 | 5.1 |
| Det | – | 1 | 0.000 | -5.7 | 13 | 0.154 | -14.6 | 3 | 0.333 | -2.7 | 13 | 0.615 | -0.2 | 37 | 0.459 | -2.7 | 11 | 0.727 | 3.3 | 4 | 0.250 | -9.7 |
| Gol | – | 1 | 1.000 | -1.7 | 13 | 0.692 | -4.2 | 3 | 1.000 | -1.9 | 11 | 0.455 | -10.5 | 36 | 0.917 | 6.2 | 14 | 0.929 | 2.0 | 4 | 0.750 | 6.0 |
| Hou | – | 1 | 1.000 | 24.5 | 11 | 0.727 | 0.4 | 4 | 1.000 | 1.9 | 11 | 0.636 | -3.8 | 40 | 0.625 | 0.0 | 10 | 0.700 | 3.1 | 5 | 0.600 | -0.3 |
| Ind | – | 0 | 0.000 | 0.0 | 12 | 0.250 | -6.3 | 5 | 0.400 | -10.0 | 14 | 0.571 | 4.5 | 39 | 0.538 | 0.0 | 4 | 0.750 | -4.2 | 8 | 0.625 | -4.0 |
| Lac | – | 1 | 0.000 | -13.1 | 12 | 0.583 | -3.1 | 5 | 0.400 | -7.7 | 15 | 0.667 | -0.7 | 33 | 0.667 | -2.1 | 11 | 0.636 | -1.6 | 5 | 0.600 | -10.4 |
| Lal | – | 1 | 0.000 | 10.1 | 12 | 0.333 | 1.7 | 3 | 0.000 | -15.3 | 10 | 0.400 | 4.9 | 42 | 0.286 | 1.2 | 10 | 0.400 | 9.0 | 4 | 0.500 | 6.7 |
| Mem | – | 1 | 1.000 | -3.4 | 10 | 0.800 | 0.6 | 6 | 0.333 | -5.7 | 16 | 0.688 | 0.0 | 33 | 0.545 | -1.9 | 12 | 0.083 | -14.2 | 4 | 0.500 | -8.2 |
| Mia | – | 1 | 0.000 | -4.4 | 11 | 0.545 | 4.0 | 3 | 0.333 | 1.0 | 13 | 0.385 | -5.0 | 40 | 0.550 | 1.5 | 10 | 0.400 | -0.2 | 4 | 0.750 | 5.1 |
| Mil | – | 0 | 0.000 | 0.0 | 13 | 0.462 | 1.8 | 5 | 0.400 | 0.0 | 13 | 0.615 | 2.1 | 38 | 0.579 | 0.7 | 5 | 0.800 | 4.2 | 8 | 0.000 | -10.2 |
| Min | – | 1 | 0.000 | -2.7 | 9 | 0.333 | -2.6 | 5 | 0.400 | 2.4 | 10 | 0.300 | -0.4 | 43 | 0.419 | -2.2 | 10 | 0.300 | -1.8 | 4 | 0.500 | 10.2 |
| Nor | – | 0 | 0.000 | 0.0 | 11 | 0.273 | -1.9 | 6 | 0.333 | 2.2 | 10 | 0.500 | 5.8 | 36 | 0.472 | 4.2 | 17 | 0.412 | 3.5 | 2 | 0.000 | -10.1 |
| Nyk | – | 1 | 0.000 | 3.5 | 10 | 0.300 | -1.2 | 4 | 0.000 | -3.5 | 12 | 0.417 | 3.0 | 39 | 0.436 | 2.9 | 12 | 0.417 | 1.2 | 4 | 0.250 | -1.6 |
| Okc | – | 1 | 1.000 | 21.5 | 11 | 0.182 | -9.1 | 3 | 0.667 | -6.3 | 10 | 0.700 | 0.7 | 46 | 0.587 | 2.4 | 5 | 0.800 | 5.6 | 6 | 0.667 | 2.4 |
| Orl | – | 1 | 0.000 | -5.4 | 11 | 0.182 | -5.4 | 3 | 0.667 | 7.1 | 9 | 0.444 | -2.3 | 43 | 0.372 | -2.3 | 11 | 0.455 | -2.8 | 4 | 0.000 | -8.9 |
| Phi | – | 2 | 0.000 | 0.6 | 11 | 0.273 | -11.6 | 5 | 0.400 | 0.9 | 14 | 0.286 | -2.1 | 33 | 0.394 | -0.6 | 13 | 0.308 | 3.2 | 4 | 0.500 | 0.0 |
| Pho | – | 0 | 0.000 | 0.0 | 12 | 0.417 | 2.3 | 2 | 0.000 | -1.9 | 10 | 0.400 | 3.4 | 45 | 0.311 | 2.0 | 10 | 0.100 | -3.1 | 3 | 0.000 | -6.1 |
| Por | – | 1 | 1.000 | 14.3 | 10 | 0.500 | 0.3 | 4 | 0.500 | 1.8 | 12 | 0.500 | -1.1 | 39 | 0.513 | 1.3 | 12 | 0.333 | 1.1 | 4 | 0.750 | 3.6 |
| Sac | – | 1 | 0.000 | -11.4 | 13 | 0.385 | 1.6 | 5 | 0.200 | 2.8 | 12 | 0.500 | 4.2 | 34 | 0.382 | 0.3 | 12 | 0.417 | 3.7 | 5 | 0.400 | 12.4 |
| San | – | 1 | 0.000 | -13.7 | 9 | 0.778 | -3.8 | 5 | 0.800 | -3.3 | 11 | 0.727 | 0.4 | 41 | 0.780 | 0.2 | 11 | 0.636 | -7.2 | 4 | 0.750 | 8.3 |
| Tor | – | 0 | 0.000 | 0.0 | 14 | 0.429 | 0.8 | 3 | 0.667 | 9.2 | 12 | 0.583 | 2.4 | 37 | 0.622 | 2.7 | 12 | 0.833 | 8.2 | 4 | 0.750 | 9.1 |
| Uta | – | 1 | 0.000 | -17.2 | 12 | 0.417 | -7.5 | 4 | 0.750 | 0.1 | 16 | 0.375 | -4.8 | 34 | 0.765 | 2.5 | 9 | 0.667 | 1.8 | 6 | 0.833 | 1.8 |
| Was | – | 1 | 1.000 | -1.7 | 10 | 0.500 | 0.6 | 5 | 0.200 | -6.1 | 11 | 0.364 | -2.7 | 40 | 0.725 | 2.0 | 11 | 0.727 | 5.0 | 4 | 0.250 | -11.9 |