Regular Season Ends In:

Tag: Defensive Efficiency

These items have all been tagged with the tag "Defensive Efficiency", You can see other tags in the Tag Cloud
Defensive Efficiency
2009-2010 NBA Regular Season Advanced Stats

Learn more about the team evaluation metrics and formulas used in this data table.
See the results in a simplified dashboard.
Take a look at the NBA Power Rankings in a more visualized way.

Mouse over teams to take a quick look at offensive and defensive 4 factors. 4 factors help identify an NBA team's strengths and weaknesses.


Last updated through games completed on March 20, 2010. Click column headers to sort. Reverse the sort order by clicking on it twice.

SEASON

NBA 2009-2010 REGULAR SEASON ADVANCED STATS
Rank Team Conf-Div GP PPG OPPG PDIFF PACE OEFF DEFF EDIFF CONS A4F WINS LOSS WIN% pWIN% eWIN% ACH
East AverageNBA68.998.398.8-0.592.1105.9106.6-0.713.9-0.00432.736.20.475
West AverageNBA69.1102.1101.50.694.0108.1107.40.713.30.00436.332.80.525
NBA AverageNBA69.0100.2100.20.093.1107.0107.00.013.6034.534.50.500
AtlantaE-SE68102.397.54.890.9111.5106.35.215.1-0.01244240.6470.6580.6350.012
BostonE-AT6998.894.14.791.8107.2102.15.113.30.0545240.6520.6550.6490.003
CharlotteE-SE6994.693.6190.7103.4102.31.114.1-0.00735340.5070.5330.531-0.024
ChicagoE-CT6997.299.7-2.593.7102.7105.4-2.715.4-0.01532370.4640.4180.4310.033
ClevelandE-CT70102.2957.291111.6103.77.910.30.10755150.7860.7370.7790.007
DallasW-SW69101.799.62.192.4108.9106.72.215.2-0.01746230.6670.5690.5570.11
DenverW-NW70107.4101.95.596.8112106.35.713.10.01647230.6710.6810.6680.003
DetroitE-CT6993.698.6-589.2104.3109.9-5.613.9-0.07223460.3330.3350.344-0.011
Golden StateW-PC69107.7112-4.3101.5107.3111.7-4.414.8-0.07319500.2750.3580.383-0.108
HoustonW-SW67101.7101.30.494106.9106.60.313.3-0.0135320.5220.5130.5090.013
IndianaE-CT6999.6104.4-4.897.4102.2107.3-5.113.6-0.02123460.3330.3420.354-0.021
LA ClippersW-PC6995.6101.4-5.892.5103.2109.4-6.215.30.00726430.3770.3090.3430.034
LA LakersW-PC6910397693.9108.8102.46.413.30.02451180.7390.6980.6840.055
MemphisW-SW70102.7103.1-0.493.6108.6109.1-0.513.1-0.01237330.5290.4870.4850.044
MiamiE-SE709694.91.190.2105.6104.41.217.5-0.00336340.5140.5360.527-0.013
MilwaukeeE-CT6898.196.41.792.5104.4102.61.813.6-0.01738300.5590.5560.5530.006
MinnesotaW-NW7098.1107.6-9.596.3101.2111.1-9.912.9-0.04314560.2000.1870.221-0.021
New JerseyE-AT6991.1101.4-10.391.599.5110.8-11.311.2-0.1067620.1010.1610.155-0.054
New OrleansW-SW7199.8102.4-2.692.8106.7109.4-2.710.7-0.04133380.4650.4140.4010.064
New YorkE-AT69101.5104.4-2.993.9106.8109.9-3.116-0.03725440.3620.4050.423-0.061
Oklahoma CityW-NW67100.296.53.793.2106.91033.912.20.01842250.6270.6220.6260.001
OrlandoE-SE7010295.16.992.3110.2102.77.513.80.10649210.7000.7270.706-0.006
PhiladelphiaE-AT7097100.7-3.791.6105.2109.2-412.2-0.03724460.3430.3780.372-0.029
PhoenixW-PC69110.11064.195.8114.6110.44.214.80.09343260.6230.6350.6120.011
PortlandW-NW7098.194.93.287.9110.4106.83.612.8-0.01342280.6000.6050.61-0.01
SacramentoW-PC69100.9104.9-494.6105.4109.6-4.211.2023460.3330.3680.354-0.021
San AntonioW-SW67101.396.25.191.8109.8104.45.413.70.06841260.6120.6680.653-0.041
TorontoE-AT68103.8105.8-293.5110.6112.7-2.115.90.01934340.5000.4340.4470.053
UtahW-NW70103.6985.693.2110.8104.8613.80.04845250.6430.6840.668-0.025
WashingtonE-SE6796.3101.1-4.892103.9109-5.111.9-0.0221460.3130.3420.334-0.021

LAST 5 GAMES

NBA 2009-2010 REGULAR SEASON ADVANCED STATS - LAST 5 GAMES SPLIT
Rank Team Conf-Div GP PPG OPPG PDIFF PACE OEFF DEFF EDIFF CONS A4F WINS LOSS WIN% pWIN% eWIN% ACH
East AverageNBA5.098.298.4-0.291.3106.8106.9-0.111.40.0072.42.60.480
West AverageNBA5.0106.5105.11.495.1111.6110.11.513.8-0.0022.92.10.580
NBA AverageNBA5.0102.4102.40.093.2109.2109.20.012.60.0022.72.30.540
AtlantaE-SE5104.6968.689.7114.61059.611.20.059410.8000.7830.804-0.004
BostonE-AT5103.494.88.692.2112.2102.99.314.60.057410.8000.7830.7380.062
CharlotteE-SE590.6900.688.7100.299.50.77.3-0.002230.4000.520.538-0.138
ChicagoE-CT596.2100.2-494.4101.9106.2-4.311.1-0.01140.2000.3680.349-0.149
ClevelandE-CT5101.693.6890.6112.2103.48.83.60.022501.0000.7630.9930.007
DallasW-SW5104.2107-2.895.8108.5111.9-3.420.4-0.023320.6000.4080.4340.166
DenverW-NW5107100.46.692.2116108.77.310.5-0.009320.6000.7170.756-0.156
DetroitE-CT599.2107.4-8.289.6110.7119.9-9.216.4-0.061140.2000.230.287-0.087
Golden StateW-PC5119.8125.4-5.6102.2117.4122.6-5.217.6-0.033230.4000.3160.3840.016
HoustonW-SW5106.2101.44.894.8111.91074.98.10.013410.8000.6580.7260.074
IndianaE-CT599.2103-3.894105.8109.4-3.69.6-0.002230.4000.3750.3540.046
LA ClippersW-PC596.8106.6-9.892.6104.6115.1-10.614.6-0.027140.2000.1770.234-0.034
LA LakersW-PC5109103.85.295.2114.41095.52.80.019501.0000.6710.9770.023
MemphisW-SW5109.6109.6098111.9112.4-0.614.7-0.028320.6000.50.4840.116
MiamiE-SE593.490.62.890.4101.2983.212.30.013320.6000.5920.602-0.002
MilwaukeeE-CT5100.497.4392.810410136.70.026410.8000.5990.6720.128
MinnesotaW-NW599119-209999.9120-20.211.2-0.052050.0000.0000.035-0.035
New JerseyE-AT596.2107.2-1192.4104116-128.9-0.061050.0000.1380.089-0.089
New OrleansW-SW5100.2110-9.895.2104.8115.3-10.411.6-0.019140.2000.1770.1850.015
New YorkE-AT5104.698.85.892.8112.71066.619.20.028320.6000.6910.635-0.035
Oklahoma CityW-NW5105.6978.693.4113103.9913.50.013410.8000.7830.7470.053
OrlandoE-SE5105.491.813.689116.1101.214.916.50.077410.8000.9480.817-0.017
PhiladelphiaE-AT59197-690.4100.7107.3-6.711.2-0.023140.2000.3020.275-0.075
PhoenixW-PC5118.2105.412.897121.5108.712.7160.064410.8000.9210.7860.014
PortlandW-NW598.690.48.287.4112.8103.59.46.2-0.026501.0000.770.9360.064
SacramentoW-PC5105.61041.695107.1105.71.4170230.4000.5530.533-0.133
San AntonioW-SW5108951393.8114.3101.213250.054410.8000.9280.6980.102
TorontoE-AT5101108.6-7.692110.2118.3-8.214.60.024230.4000.250.2870.113
UtahW-NW5110.2100.89.495.2115.9105.910.117.70.024320.6000.810.716-0.116
WashingtonE-SE586.499-12.689.896.2109.9-13.88-0.047050.0000.0850.041-0.041

ON THE ROAD

NBA 2009-2010 REGULAR SEASON ADVANCED STATS - ON THE ROAD SPLIT
Rank Team Conf-Div GP PPG OPPG PDIFF PACE OEFF DEFF EDIFF CONS A4F WINS LOSS WIN% pWIN% eWIN% ACH
East AverageNBA35.097.1100.2-3.192.2104.7108.1-3.413.6-0.01513.421.60.383
West AverageNBA34.0100.5103.0-2.594.0106.4109.0-2.613.0-0.01314.119.90.415
NBA AverageNBA34.598.898.80.093.1105.5105.50.013.3-0.01413.720.80.397
AtlantaE-SE3499.2981.290.6109.2107.91.315.5-0.02817170.5000.540.533-0.033
BostonE-AT3697.593.14.491.9105.5100.74.8120.06524120.6670.6450.6550.012
CharlotteE-SE3691.795.9-4.289.1102106.8-4.812.1-0.04710260.2780.3620.346-0.068
ChicagoE-CT3695.9101.2-5.393.7101.8107.4-5.613.9-0.04113230.3610.3250.3430.018
ClevelandE-CT36100.995.85.191.9108.9103.45.511.10.09425110.6940.6680.6900.004
DallasW-SW34101.799.12.692.7108.71062.718.5-0.00422120.6470.5860.5580.089
DenverW-NW34103.6102.31.396.8109.7108.31.4130.01217170.5000.5430.543-0.043
DetroitE-CT3493.4101.5-8.189.4104.2113.2-913.6-0.0817270.2060.2330.254-0.048
Golden StateW-PC34104.6113.9-9.399.7104.6113.9-9.310.5-0.0884300.1180.1940.188-0.070
HoustonW-SW3299.7100.8-1.194.6104.8105.9-1.114.6-0.02315170.4690.4640.470-0.001
IndianaE-CT3798.7107.6-8.997.8100.9110-9.112.9-0.0527300.1890.2070.240-0.051
LA ClippersW-PC3595.3104.9-9.692.7102.6112.8-10.216-0.0277280.2000.1840.262-0.062
LA LakersW-PC33100.898.72.192.4107.1104.92.213.10.01920130.6060.5690.5670.039
MemphisW-SW33103.8105.5-1.793.6110.2112-1.814.3-0.01715180.4550.4440.4500.005
MiamiE-SE3395.297-1.890.1105107-2180.00415180.4550.4410.456-0.001
MilwaukeeE-CT3695.896.2-0.492.8101.7102.2-0.514.4-0.02515210.4170.4870.486-0.069
MinnesotaW-NW3698.7112-13.397101114.6-13.612.1-0.0745310.1390.0620.1300.009
New JerseyE-AT3692.9103.4-10.591.5101.5113-11.511.9-0.114320.1110.1540.167-0.056
New OrleansW-SW3899.4104.9-5.593106.1112-5.911.3-0.06312260.3160.3190.3010.015
New YorkE-AT3399.8105-5.294104.9110.3-5.414.4-0.04310230.3030.3290.354-0.051
Oklahoma CityW-NW3498.997.11.894.1104.4102.61.811.20.00420140.5880.5590.5640.024
OrlandoE-SE3599.997.32.691.4108.8105.8313.60.09221140.6000.5860.5870.013
PhiladelphiaE-AT3698.4101.8-3.492.6105.7109.3-3.611.2-0.03613230.3610.3880.374-0.013
PhoenixW-PC33107.7108.4-0.796.3111.4112.2-0.814.10.06916170.4850.4770.4770.008
PortlandW-NW3498.596.71.888.5109.3107.3211.2-0.03119150.5590.5590.571-0.012
SacramentoW-PC3497.2105.1-7.993.4103.4111.8-8.49.3-0.0216280.1760.240.183-0.007
San AntonioW-SW3297.196.1191.1105.6104.51.113.40.03916160.5000.5330.533-0.033
TorontoE-AT34103.1109.1-693.7109.7116.2-6.517.80.00311230.3240.3020.358-0.034
UtahW-NW34100.299.2193.4107105.91.112.40.0117170.5000.5330.535-0.035
WashingtonE-SE3394.2100.8-6.692.6100.7107.8-7.111.5-0.0159240.2730.2830.2690.004

AT HOME

NBA 2009-2010 REGULAR SEASON ADVANCED STATS - AT HOME SPLIT
Rank Team Conf-Div GP PPG OPPG PDIFF PACE OEFF DEFF EDIFF CONS A4F WINS LOSS WIN% pWIN% eWIN% ACH
East AverageNBA33.999.597.42.192.1107.2105.02.213.50.00619.314.60.569
West AverageNBA35.1103.6100.13.594.1109.7105.93.812.80.02122.212.90.632
NBA AverageNBA34.5101.6101.60.093.1108.5108.50.013.10.01320.813.70.603
AtlantaE-SE34105.396.98.491.2113.9104.79.213.80.0042770.7940.7770.7480.046
BostonE-AT33100.295.2591.6109.1103.75.414.80.03321120.6360.6650.642-0.006
CharlotteE-SE3397.891.16.792.4104.997.67.313.60.0362580.7580.7210.7040.054
ChicagoE-CT3398.698.10.593.7103.8103.20.616.60.01419140.5760.5160.5140.062
ClevelandE-CT34103.694.19.590.1114.5104.110.48.90.1213040.8820.8130.8800.002
DallasW-SW35101.6100.11.592.1109107.41.611.4-0.02924110.6860.5490.5560.130
DenverW-NW36111101.69.496.8114104.49.6120.0193060.8330.810.7880.045
DetroitE-CT3593.895.8-289104.5106.6-2.113.8-0.06516190.4570.4340.4390.018
Golden StateW-PC35110.6110.20.4103.2110109.50.516.9-0.0615200.4290.5130.512-0.083
HoustonW-SW35103.5101.81.793.4108.8107.11.7120.00220150.5710.5560.5560.015
IndianaE-CT32100.6100.8-0.296.8103.8104.1-0.3130.01316160.5000.4930.4910.009
LA ClippersW-PC3495.997.8-1.992.4103.8105.9-2.113.50.04119150.5590.4370.4380.121
LA LakersW-PC3610595.49.695.2110.3100.210.112.60.0273150.8610.8160.7890.072
MemphisW-SW37101.61010.693.6107.1106.40.712.1-0.00822150.5950.520.5230.072
MiamiE-SE3796.793.13.690.4106.1102.23.916.9-0.0121160.5680.6190.591-0.023
MilwaukeeE-CT32100.796.54.292.2107.5103.14.412.4-0.0082390.7190.6380.6390.080
MinnesotaW-NW3497.4102.9-5.595.6101.5107.3-5.812.7-0.019250.2650.3190.324-0.059
New JerseyE-AT3389.199.2-10.191.597.4108.4-1110.4-0.1013300.0910.1670.146-0.055
New OrleansW-SW33100.399.50.892.6107.3106.40.98.9-0.01721120.6360.5260.5400.096
New YorkE-AT36103103.8-0.893.7108.6109.4-0.817.3-0.03315210.4170.4740.482-0.065
Oklahoma CityW-NW33101.695.95.792.2109.4103.36.112.90.03322110.6670.6880.682-0.015
OrlandoE-SE35104.192.911.293.3111.599.611.912.60.1182870.8000.8690.827-0.027
PhiladelphiaE-AT3495.599.5-490.6104.7109.2-4.513.3-0.03811230.3240.3680.368-0.044
PhoenixW-PC36112.3103.98.495.3117.5108.78.814.10.1152790.7500.7770.7330.017
PortlandW-NW3697.793.34.487.4111.5106.45.114.20.00323130.6390.6450.640-0.001
SacramentoW-PC35104.4104.7-0.395.7107.3107.5-0.211.70.01917180.4860.490.493-0.007
San AntonioW-SW3510596.48.692.4113.6104.39.3130.09325100.7140.7830.763-0.049
TorontoE-AT34104.5102.5293.2111.4109.32.112.70.03523110.6760.5660.5660.110
UtahW-NW36106.896.81093.1114.5103.810.713.50.0822880.7780.8290.786-0.008
WashingtonE-SE3498.4101.4-391.5107110.1-3.112-0.02512220.3530.4010.398-0.045



What Changed In Playoffs

 

Despite the small size of samples and postseason is not over, I have made a quantitative analysis of playoff teams. Download the analysis in spreadsheets in case you would like to.

 

Not to mention the results of the teams who were eliminated in the first round don't tell the whole story since they have played against only one opponent. First of all, let me explain what "4 factors" is.

 

 




Afternoon Games vs. Night Games Statistical Comparison

Please refer to the related article which has been published before.

Continue here to get the regular season afternoon games vs. night games statistical comparison.




The J-Kidd Effect on Mavs' Statistical Facts

 

NBAstuffer.com has executed the quantitative analysis, Jake Kerr of Mavsmoneyball.com wrote the story. 

Read how Jason Kidd has changed Dallas Mavericks' statistical facts.

 

Earlier, the  "Trades Work Out?" article has J-Kidd's individual statistical changes since he has been traded to Dallas.

Here is briefly what changed in Dallas after the trade:

 

EFFICIENCY
PACEOFFENSEDEFENSE
×

 

He runs the show with a faster pace, but less efficiently on offense. Team's defensive effort is better.

 

SHOOTING
eFG%OPP eFG%

 

Mavericks are shooting the ball with a higher effective field goal percentage and forcing the opponents to a lower effective field goal percentage.

 

REBOUNDING
OR%DR%
×

 

Offensive rebound percentage has decreased while defensive rebounding percentage has increased.

 

FREE THROWS
FTM/FGAOPP FTM/FGA
×

 

They are getting to the foul line a with a lower FTM/FGA ratio and forcing opponents to a lower FTM/FGA ratio.

 

TURNOVERS
TO/POSSOPP TO/POSS
××

 

Kidd and the Mavs turn the ball over (per possession) more with forcing the opponents to a lower turnover per possession ratio.

 

Let me know the players who else you would like to see a post-trade analysis here.

 




The Impact Of Rest Days On Team Efficiency & Pace

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

 

  • B2B: teams playing second leg of back to back game sets
  • 3rdIN4: teams playing third game in four nights
  • 4thIN5: teams playing fourth game in 5 nights
  • 1: teams coming up the game w/ one day rest
  • 2: teams coming up the game w/ two days rest
  • 3+: teams coming up the game w/ at least three days rest

 

 




2008 Playoffs Stats


READ ME


Basics of modern basketball statistics lies behind the possession fact which must be considered as the key element to calculate team efficiency. The ball can only change hands four different ways:

(1) by making a shot;

(2) by missing a shot and not getting the offensive rebound;

(3) by turning the ball over; and

(4) by going to the line for two or three shots and either making the last shot or not getting the rebound of a missed last shot.

DEFINITIONS

POSSESSION =(Field Goal Attempts)+(Turnovers)+0.4*(Free Throw Attempts) - 1.07*(Offensive Rebounding Percentage)*(Missed Shots)

PACE is the number of possessions a team uses per game.

OFFENSIVE EFFICIENCY is the number of points a team scores per 100 possessions.

DEFENSIVE EFFICIENCY is the number of points a team allows per 100 possessions.

CORRELATION is a value between -1 and +1 that describes the degree of relationship between two variables. Defensive correlations are negative because lower defensive efficiency means better defense.

 


 

 

SEASON

season eff

If you don't think the table is updated please try pressing CTRL+F5 in order to get the newer one.

ON THE ROAD

road eff

If you don't think the table is updated please try pressing CTRL+F5 in order to get the newer one.

AT HOME

home eff

If you don't think the table is updated please try pressing CTRL+F5 in order to get the newer one.

LAST 5 GAMES

If you don't think the table is updated please try pressing CTRL+F5 in order to get the newer one.



Want to have the tables in MS Excel? Download the data

 





There are 6 items tagged with Defensive Efficiency