Tag: Rest Days
These items have all been tagged with the tag "Rest Days", You can see other tags in the Tag CloudI'm pleased to announce a new feature:
The chart which can be found at the 2009-2010 regular season rest days stats does a good job of understanding what impacts various rest days have on NBA teams' performances.
Since we are just four weeks into the season, the differentials should lead to more meaningful results as the season progresses.
Check out how many times teams will play games under the specified rest days in the NBA 2009-2010 NBA Regular Season.
Following chart figures out the impact of rest days on the possession based stats. It shows how NBA league average differs when the teams play with the given rest days.
To determine the impact of rest days more precisely, efficiencies are adjusted to account for opponent strength and game location. (playing on the road or at home)
Last updated through games completed on March 10, 2010. Click column headers to sort. Reverse the sort order by clicking on it twice. Mouseover column headers for explanations.
| Team | 4IN5 | 3IN4-B2B | B2B | TOTAL B2Bs | 3IN4 | 1 DAY | 2 DAYS | 3 DAYS+ | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GP | W% | ED | GP | W% | ED | GP | W% | ED | GP | W% | ED | GP | W% | ED | GP | W% | ED | GP | W% | ED | GP | W% | ED | |
| Atl | 1 | 1 | 19.8 | 10 | 0.5 | -1.4 | 5 | 0.4 | -10.8 | 16 | 0.5 | -3 | 9 | 0.556 | -5.1 | 23 | 0.739 | -0.5 | 9 | 0.556 | -2.9 | 6 | 0.833 | 3.1 |
| Bos | 3 | 0.667 | -13.7 | 7 | 0.429 | -9.8 | 3 | 0.667 | 11.2 | 13 | 0.539 | -5.9 | 8 | 0.5 | -3.4 | 27 | 0.667 | -5.6 | 7 | 0.714 | -4.6 | 8 | 0.75 | -2.1 |
| Cha | 1 | 1 | 16.5 | 4 | 0.5 | 2.2 | 12 | 0.5 | 3.9 | 17 | 0.529 | 4.2 | 7 | 0.571 | -4.3 | 17 | 0.471 | 3.8 | 18 | 0.556 | 0.5 | 4 | 0.25 | -6.9 |
| Chi | 3 | 0.667 | 7.4 | 5 | 0.2 | -4.2 | 8 | 0.375 | -4.2 | 16 | 0.375 | -2 | 8 | 0.5 | 3.3 | 21 | 0.619 | 4.6 | 13 | 0.385 | 2 | 5 | 0.6 | 7.8 |
| Cle | 2 | 1 | -0.9 | 9 | 0.778 | 0.9 | 5 | 0.2 | -15.1 | 16 | 0.625 | -4.3 | 8 | 0.875 | -0.8 | 28 | 0.821 | 2.1 | 8 | 0.875 | -1 | 5 | 0.6 | 4.4 |
| Dal | 2 | 0.5 | -7.7 | 6 | 0.667 | -3.8 | 9 | 0.556 | -6.5 | 17 | 0.589 | -5.7 | 11 | 1 | -1.1 | 24 | 0.625 | -1.7 | 8 | 1 | 9 | 6 | 0.167 | -11.5 |
| Den | 2 | 0 | -16.3 | 5 | 0.4 | -4.6 | 9 | 0.556 | -5 | 16 | 0.438 | -6.3 | 11 | 0.636 | -2.9 | 22 | 0.682 | -1.5 | 9 | 0.889 | 3.4 | 6 | 1 | 3.8 |
| Det | 2 | 0 | 1.3 | 5 | 0.2 | -6.1 | 11 | 0.273 | -4.8 | 18 | 0.222 | -4.5 | 8 | 0.125 | 1.3 | 19 | 0.474 | -3 | 14 | 0.429 | 2.6 | 5 | 0.4 | 8.5 |
| Gol | 1 | 0 | 0.8 | 7 | 0.143 | 4.8 | 7 | 0.286 | 0.8 | 15 | 0.2 | 2.7 | 9 | 0.222 | -1.1 | 24 | 0.333 | -0.9 | 9 | 0.222 | 2.3 | 6 | 0.333 | 3.3 |
| Hou | 2 | 1 | 4.4 | 3 | 0.333 | -7.7 | 12 | 0.417 | -2.5 | 17 | 0.471 | -2.6 | 9 | 0.444 | 0.5 | 18 | 0.556 | 2.6 | 13 | 0.615 | -1.4 | 6 | 0.333 | -4.3 |
| Ind | 4 | 0 | -2 | 7 | 0.429 | 3.7 | 8 | 0.125 | -8.1 | 19 | 0.211 | -2.5 | 13 | 0.462 | 4.7 | 16 | 0.313 | -1.3 | 10 | 0.5 | 0.1 | 6 | 0.167 | -0.7 |
| Lac | 3 | 0 | 2 | 7 | 0.286 | -4.9 | 8 | 0.375 | -0.9 | 18 | 0.278 | -2 | 10 | 0.4 | -9.6 | 20 | 0.45 | -0.3 | 11 | 0.364 | -1.9 | 6 | 0.5 | 3.6 |
| Lal | 1 | 1 | -8.1 | 8 | 0.5 | -1.7 | 7 | 0.714 | -1.7 | 16 | 0.625 | -2.1 | 13 | 0.615 | -1.2 | 21 | 0.81 | 1.6 | 10 | 0.7 | -2.3 | 5 | 1 | 5.6 |
| Mem | 3 | 0.333 | 3.7 | 8 | 0.25 | -1.5 | 5 | 0.4 | -5.5 | 16 | 0.312 | -1.8 | 11 | 0.455 | -2.1 | 23 | 0.696 | 7 | 10 | 0.6 | 1.1 | 5 | 0.4 | -3.4 |
| Mia | 2 | 0.5 | 9 | 6 | 0.167 | -6.9 | 7 | 0.429 | -6.2 | 15 | 0.334 | -4.5 | 11 | 0.545 | 2.6 | 25 | 0.6 | 3.9 | 9 | 0.444 | 3.8 | 5 | 0.6 | 4.2 |
| NBA Avg | 1.8 | 0.4 | 0.4 | 7.5 | 0.4 | -1.4 | 6.2 | 0.412 | -2.7 | 15.6 | 0.405 | -1.7 | 9.3 | 0.523 | 0.4 | 23.2 | 0.512 | 0.4 | 10.6 | 0.58 | 0.9 | 5.3 | 0.525 | 0.8 |
| Mil | 1 | 0 | 3.2 | 11 | 0.545 | 2.9 | 5 | 1 | 4.8 | 17 | 0.647 | 3.5 | 7 | 0.571 | 3.9 | 21 | 0.381 | 0.7 | 14 | 0.714 | 1 | 4 | 0.25 | -10.5 |
| Min | 3 | 0 | -6.5 | 8 | 0.25 | -1.6 | 6 | 0.167 | 4.1 | 17 | 0.177 | -0.5 | 9 | 0.222 | 6.9 | 24 | 0.208 | 5 | 9 | 0.222 | -1.2 | 6 | 0.333 | 3.9 |
| Njn | 2 | 0 | -0.8 | 8 | 0.125 | 2.2 | 6 | 0 | -1.4 | 16 | 0.063 | 0.5 | 8 | 0 | -0.9 | 23 | 0.13 | 1 | 11 | 0 | 2.3 | 6 | 0.5 | 13 |
| Nor | 0 | 0 | 0 | 11 | 0.364 | 2.5 | 2 | 1 | 0.9 | 13 | 0.462 | 2.3 | 10 | 0.4 | 1.3 | 29 | 0.517 | 1.2 | 9 | 0.667 | 0.4 | 4 | 0.25 | -4.6 |
| Nyk | 1 | 0 | -4.3 | 11 | 0.182 | -5.2 | 3 | 0 | -0.9 | 15 | 0.133 | -4.3 | 10 | 0.6 | 5.5 | 26 | 0.308 | -0.7 | 6 | 0.5 | 2.7 | 7 | 0.429 | -3.9 |
| Okc | 2 | 0 | -7.2 | 8 | 0.5 | -0.4 | 3 | 0.667 | -3.1 | 13 | 0.462 | -2.1 | 8 | 0.75 | 3.4 | 26 | 0.538 | 0.9 | 11 | 0.818 | 3.5 | 5 | 0.8 | 0.9 |
| Orl | 3 | 0.667 | 7.6 | 9 | 0.556 | -0.9 | 3 | 0.333 | -3.1 | 15 | 0.534 | 0.4 | 10 | 0.7 | -0.1 | 25 | 0.76 | -1.2 | 12 | 0.667 | -1.1 | 3 | 1 | 9.5 |
| Phi | 0 | 0 | 0 | 10 | 0.3 | 0.6 | 5 | 0.2 | -5.6 | 15 | 0.267 | -1.5 | 6 | 0.333 | -3.9 | 25 | 0.36 | 3.3 | 14 | 0.5 | 2.8 | 4 | 0.25 | -9.9 |
| Pho | 3 | 0 | -13.4 | 8 | 0.5 | -6.1 | 5 | 0.4 | -1.5 | 16 | 0.375 | -6 | 13 | 0.692 | 4.7 | 23 | 0.609 | 0 | 10 | 0.9 | -7.1 | 3 | 0.667 | -1.2 |
| Por | 3 | 1 | 9 | 11 | 0.727 | 1.5 | 1 | 1 | 11.4 | 15 | 0.8 | 3.7 | 11 | 0.545 | 0.4 | 26 | 0.462 | -4.5 | 10 | 0.5 | -6 | 4 | 0.75 | 3.5 |
| Sac | 2 | 0.5 | 5.8 | 6 | 0.5 | 0.5 | 9 | 0.333 | -7.3 | 17 | 0.412 | -3 | 10 | 0.3 | -1.7 | 19 | 0.316 | -0.1 | 16 | 0.375 | 1.1 | 3 | 0 | -9 |
| San | 1 | 0 | -5.6 | 4 | 0.75 | 3.5 | 6 | 0.333 | -1.8 | 11 | 0.454 | -0.2 | 7 | 0.714 | 3.8 | 29 | 0.586 | -0.3 | 9 | 0.778 | 0.3 | 6 | 0.5 | -0.2 |
| Tor | 1 | 1 | 37.7 | 11 | 0.182 | -9.2 | 3 | 0.667 | -0.6 | 15 | 0.334 | -4.4 | 7 | 0.571 | 3 | 25 | 0.4 | 2.5 | 9 | 0.889 | 9.2 | 7 | 0.714 | 0 |
| Uta | 0 | 0 | 0 | 7 | 0.571 | 7 | 7 | 0.429 | -2.6 | 14 | 0.5 | 2.2 | 10 | 0.7 | 1.1 | 24 | 0.625 | 0.4 | 11 | 0.818 | 6 | 5 | 0.8 | 0.2 |
| Was | 1 | 1 | 8.1 | 5 | 0 | -5 | 7 | 0.571 | 0.6 | 13 | 0.384 | -1 | 7 | 0.429 | 1.7 | 24 | 0.167 | -4.3 | 10 | 0.6 | 1.2 | 7 | 0.429 | 8.2 |
Check out more detailed rest days stats in the NBA
2009-2010 NBA Regular Season Rest Days Stats (Also includes a chart)
2009-2010 NBA Regular Season Rest Days Stats.
The information provided below belongs to 2007-2008 NBA regular season.
B2B
| OFFENSIVE EFFICIENCY | DEFENSIVE EFFICIENCY | |||
| TOP 5 | ∆* | TOP 5 | ∆* | |
| New Orleans | 9.4 | Toronto | -12.4 | |
| San Antonio | 8.0 | Seattle | -9.0 | |
| New Jersey | 5.1 | Portland | -4.9 | |
| Charlotte | 4.2 | Washington | -3.6 | |
| Minnesota | 3.6 | Dallas | -3.2 | |
| BOTTOM 5 | ∆* | BOTTOM 5 | ∆* | |
| Seattle | -10.3 | New Orleans | 12.9 | |
| New York | -5.6 | Boston | 7.3 | |
| Chicago | -2.9 | Charlotte | 7.1 | |
| Dallas | -2.7 | Denver | 7.1 | |
| Memphis | -2.5 | Utah | 6.6 |
*: Efficiency change under the given rest day situation
3rdIN4
| OFFENSIVE EFFICIENCY | DEFENSIVE EFFICIENCY | |||
| TOP 5 | ∆* | TOP 5 | ∆* | |
| Dallas | 3.9 | New Jersey | -12.4 | |
| Golden State | 3.1 | Milwaukee | -9.0 | |
| Utah | 3.0 | Boston | -4.9 | |
| Memphis | 2.6 | Indiana | -3.6 | |
| Phoenix | 1.8 | Denver | -3.2 | |
| BOTTOM 5 | ∆* | BOTTOM 5 | ∆* | |
| Boston | -3.7 | Sacramento | 12.9 | |
| Chicago | -3.4 | Atlanta | 7.3 | |
| Minnesota | -3.0 | New York | 7.1 | |
| Detroit | -2.6 | LA Lakers | 7.1 | |
| New Jersey | -2.3 | Dallas | 6.6 |
*: Efficiency change under the given rest day situation
4thIN5
| OFFENSIVE EFFICIENCY | DEFENSIVE EFFICIENCY | |||
| TOP 5 | ∆* | TOP 5 | ∆* | |
| LA Clippers | 15.7 | LA Clippers | -10.6 | |
| Portland | 9.7 | Boston | -8.4 | |
| Chicago | 8.8 | New York | -7.3 | |
| Indiana | 8.4 | Detroit | -7.3 | |
| San Antonio | 7.3 | Philadelphia | -6.5 | |
| BOTTOM 5 | ∆* | BOTTOM 5 | ∆* | |
| Seattle | -19.1 | Milwaukee | 20.3 | |
| Detroit | -13.1 | Cleveland | 18.1 | |
| New York | -10.1 | San Antonio | 17.0 | |
| Golden State | -8.4 | Dallas | 16.3 | |
| Phoenix | -7.3 | Houston | 14.5 |
*: Efficiency change under the given rest day situation
1 DAY REST
| OFFENSIVE EFFICIENCY | DEFENSIVE EFFICIENCY | |||
| TOP 5 | ∆* | TOP 5 | ∆* | |
| Detroit | 4.3 | Dallas | -3.4 | |
| New York | 3.7 | Boston | -3.3 | |
| Boston | 2.7 | New York | -3.1 | |
| Seattle | 2.7 | Detroit | -2.9 | |
| Minnesota | 2.3 | Philadelphia | -2.1 | |
| BOTTOM 5 | ∆* | BOTTOM 5 | ∆* | |
| Philadelphia | -2.0 | Philadelphia | 1.9 | |
| Toronto | -1.9 | Cleveland | 1.5 | |
| Milwaukee | -1.8 | San Antonio | 1.0 | |
| Cleveland | -1.6 | Dallas | 1.0 | |
| Phoenix | -1.2 | Houston | 0.9 |
*: Efficiency change under the given rest day situation
2 DAYS REST
| OFFENSIVE EFFICIENCY | DEFENSIVE EFFICIENCY | |||
| TOP 5 | ∆* | TOP 5 | ∆* | |
| Toronto | 6.5 | Sacramento | -5.8 | |
| Cleveland | 6.3 | Orlando | -5.3 | |
| Houston | 5.9 | New York | -4.6 | |
| Charlotte | 5.8 | Detroit | -3.6 | |
| New Orleans | 5.2 | Washington | -3.5 | |
| BOTTOM 5 | ∆* | BOTTOM 5 | ∆* | |
| San Antonio | -7.3 | Philadelphia | 7.2 | |
| New York | -6.4 | Dallas | 5.4 | |
| Seattle | -3.4 | Cleveland | 4.6 | |
| Utah | -3.3 | Utah | 4.1 | |
| Dallas | -2.9 | Minnesota | 3.8 |
*: Efficiency change under the given rest day situation
3+ DAYS REST
| OFFENSIVE EFFICIENCY | DEFENSIVE EFFICIENCY | |||
| TOP 5 | ∆* | TOP 5 | ∆* | |
| New York | 4.1 | Utah | -9.8 | |
| Cleveland | 2.7 | Minnesota | -8.3 | |
| Philadelphia | 2.3 | Sacramento | -6.6 | |
| Toronto | 2.1 | LA Clippers | -6.0 | |
| Phoenix | 1.1 | Philadelphia | -5.3 | |
| BOTTOM 5 | ∆* | BOTTOM 5 | ∆* | |
| Detroit | -6.8 | Detroit | 6.1 | |
| Charlotte | -6.6 | Boston | 5.9 | |
| Sacramento | -6.2 | Miami | 4.2 | |
| Golden State | -4.1 | Indiana | 2.5 | |
| Indiana | -3.9 | New York | 2.4 |
*: Efficiency change under the given rest day situation
ABBREVIATIONS
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B2B: teams playing second leg of back to back game sets
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3rdIN4: teams playing third game in four nights
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4thIN5: teams playing fourth game in 5 nights
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1: teams coming up the game w/ one day rest
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2: teams coming up the game w/ two days rest
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3+: teams coming up the game w/ at least three days rest
What makes me write this article is the New York Team. With being the second worst defensive team of NBA how did the Knicks manage Pistons hold to 65 points. It was their most lopsided victory of the season. Contrarily, scoring 65 points against any team is worth to think about the reason(s). Here is a breakdown of most likely reasons which will help us see why such results in the NBA are not as stunning as they seem.
As we have 1230 NBA regular season games, do you think the games are being scheduled fairly? On the paper, it seems that some teams have easier schedules than the others; but with home stands and road trips all teams have to play 82 games in a 5.5. month time. To sum up research results, all I can speak that the further your team advances in last season's playoff, the easier schedule will be awarded by NBA.
