Regular Season Ends In:

Tag: Defensive Efficiency

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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 11, 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 AverageNBA63.998.298.8-0.692.2105.9106.5-0.614.0-0.00530.333.50.475
West AverageNBA64.5101.8101.20.693.9107.9107.20.713.30.00533.930.70.525
NBA AverageNBA64.2100.0100.00.093.1106.9106.90.013.6032.132.10.500
AtlantaE-SE64102.197.64.591111.4106.4515.2-0.01941230.6410.6480.6290.012
BostonE-AT6398.193.94.291.5106.6102.14.513.30.04640230.6350.6380.6330.002
CharlotteE-SE6394.793.80.990.8103.5102.5114.6-0.00532310.5080.530.527-0.019
ChicagoE-CT6497.399.7-2.493.6102.8105.3-2.515.8-0.01231330.4840.4210.4370.047
ClevelandE-CT65102.295.17.191.1111.6103.87.810.60.11250150.7690.7340.7680.001
DallasW-SW66101.799.12.692.4109106.12.914.7-0.01345210.6820.5860.5780.104
DenverW-NW64107.5102.25.397.1111.8106.25.613.50.01843210.6720.6750.6610.011
DetroitE-CT6493.297.9-4.789.2103.8109.1-5.313.8-0.0722420.3440.3450.351-0.007
Golden StateW-PC64106.7111-4.3101.4106.5110.8-4.314.8-0.06517470.2660.3580.385-0.119
HoustonW-SW63101.2101.10.193.9106.4106.30.113.5-0.01532310.5080.5030.5030.005
IndianaE-CT6499.6104.5-4.997.6102107.1-5.113.9-0.02321430.3280.3390.357-0.029
LA ClippersW-PC6595.5101.1-5.692.5103.1109.1-615.30.0125400.3850.3160.3480.037
LA LakersW-PC65102.696.6693.7108.5102.16.413.70.01747180.7230.6980.6790.044
MemphisW-SW65102.1102.6-0.593.3108.3108.8-0.513.1-0.0134310.5230.4840.4850.038
MiamiE-SE6596.295.30.990.2105.9104.9117.9-0.00333320.5080.530.522-0.014
MilwaukeeE-CT6397.996.31.692.5104.5102.71.814-0.0234290.5400.5530.551-0.011
MinnesotaW-NW6598106.7-8.796.1101.3110.4-9.112.7-0.0414510.2150.2140.237-0.022
New JerseyE-AT6490.7100.9-10.291.499.2110.4-11.211.4-0.1047570.1090.1640.162-0.053
New OrleansW-SW6599.9101.8-1.992.5106.9109-2.110.6-0.04532330.4920.4370.4220.07
New YorkE-AT64101.2104.8-3.693.9106.4110.1-3.715.7-0.04222420.3440.3810.407-0.063
Oklahoma CityW-NW6399.796.33.493.1106.4102.73.712.10.01639240.6190.6120.62-0.001
OrlandoE-SE66101.995.16.892.6109.9102.67.313.80.10446200.6970.7240.701-0.004
PhiladelphiaE-AT6497.5101-3.591.8105.5109.3-3.812.4-0.03723410.3590.3850.38-0.021
PhoenixW-PC65109.5106.13.495.7114.1110.53.614.50.0940250.6150.6120.5980.017
PortlandW-NW6798.195.22.988110.21073.213-0.00939280.5820.5950.598-0.016
SacramentoW-PC65100.7104.7-494.5105.5109.7-4.211.2022430.3380.3680.354-0.016
San AntonioW-SW62100.796.34.491.6109.4104.64.812.60.06237250.5970.6450.649-0.052
TorontoE-AT63104105.6-1.693.6110.6112.3-1.7160.01732310.5080.4470.4580.05
UtahW-NW64103.497.85.693.1110.7104.85.913.50.05242220.6560.6840.668-0.012
WashingtonE-SE6297.1101.2-4.192.2104.5108.9-4.411.9-0.01421410.3390.3650.356-0.017

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 AverageNBA5.098.6100.0-1.492.7105.9107.4-1.513.4-0.0022.32.70.460
West AverageNBA5.0104.2102.81.494.2110.3108.91.411.30.0022.72.30.540
NBA AverageNBA5.0101.4101.40.093.4108.1108.10.012.30.0002.52.50.500
AtlantaE-SE5107.2102.64.692116.5111.84.79.9-0.004320.6000.6510.682-0.082
BostonE-AT592.289.2389.6102.999.43.517.70.013320.6000.5990.5780.022
CharlotteE-SE592.888.44.491.6101.196.64.6180.012410.8000.6450.6010.199
ChicagoE-CT598.8117.2-18.494.2104.9124.3-19.510.8-0.06050.0000.0000.035-0.035
ClevelandE-CT5103.292.810.494.6108.898.310.614.90.053410.8000.8420.7620.038
DallasW-SW5112.6104.87.895.4118109.98.13.40.018501.0000.7570.9910.009
DenverW-NW5110.8102.68.298.6112.2104.47.816.50.068410.8000.770.6810.119
DetroitE-CT5102110.8-8.891.3109.4119-9.510.4-0.048140.2000.210.1810.019
Golden StateW-PC5107.6118-10.495.4112.7123.6-10.99.9-0.005050.0000.1580.137-0.137
HoustonW-SW5102.494.4894.7105.797.6811.70.037320.6000.7630.752-0.152
IndianaE-CT5100.8111-10.297.8102.9113.4-10.514.8-0.021140.2000.1640.240-0.040
LA ClippersW-PC591.4111.8-20.49497.3119-21.76.8-0.05050.0000.0000.001-0.001
LA LakersW-PC5103.8102.8193.2109.1108.20.914.3-0.038230.4000.5330.525-0.125
MemphisW-SW5103.8985.893.6110.9104.86.111.70.013410.8000.6910.6980.102
MiamiE-SE510298.23.890.6110.2106.14.16.50.009410.8000.6250.7350.065
MilwaukeeE-CT596.487.29.290.1104.894.610.313.70.035410.8000.8030.7740.026
MinnesotaW-NW5102.4113.8-11.499.2103.3114.8-11.56.3-0.026050.0000.1250.034-0.034
New JerseyE-AT596100.8-4.891.8104.6109.7-5.216-0.023140.2000.3420.373-0.173
New OrleansW-SW5100.2108.2-893.2107.1116.1-98.8-0.029140.2000.2370.1530.047
New YorkE-AT5100.6102.8-2.292.8108.2110.8-2.617.70.006230.4000.4280.442-0.042
Oklahoma CityW-NW5102.699.6394.8108.81053.818.6-0.021410.8000.5990.5810.219
OrlandoE-SE5106.88818.893114.794.720.112.80.076501.0001.0000.9420.058
PhiladelphiaE-AT595.2103.6-8.493.6101.6110.6-913.1-0.019140.2000.2230.247-0.047
PhoenixW-PC5111.81047.893.8119.1110.88.314.80.043320.6000.7570.713-0.113
PortlandW-NW5101.895.26.692110.5103.37.213.6-0.032410.8000.7170.7020.098
SacramentoW-PC59695191.2105104.10.913.9-0.002230.4000.5330.526-0.126
San AntonioW-SW5100.491.88.689.8112102.39.76.90.046410.8000.7830.919-0.119
TorontoE-AT598.4109.6-11.294.8104115.5-11.613.6-0.029140.2000.1310.1970.003
UtahW-NW5114.8102.612.293.8122.5109.61311.80.003410.8000.9020.865-0.065
WashingtonE-SE586.297.8-11.69293.7106.4-12.811.3-0.03050.0000.1180.129-0.129

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 AverageNBA32.197.0100.3-3.392.3104.5108.0-3.513.7-0.01712.419.70.386
West AverageNBA32.1100.3102.6-2.393.8106.3108.7-2.412.9-0.01413.418.70.417
NBA AverageNBA32.198.698.60.093.1105.4105.40.013.3-0.01512.919.20.402
AtlantaE-SE3298.898.20.690.5108.8108.20.615.3-0.03816160.5000.520.516-0.016
BostonE-AT3397.6934.692105.5100.5512.10.06622110.6670.6510.6600.007
CharlotteE-SE3292.196.8-4.789.2102.5107.7-5.212.6-0.0529230.2810.3450.340-0.059
ChicagoE-CT3295.5101-5.593.5101.5107.3-5.814.2-0.04512200.3750.3190.3410.034
ClevelandE-CT33100.8964.892108.6103.35.311.50.09322110.6670.6580.677-0.010
DallasW-SW34101.799.12.692.7108.71062.718.5-0.00422120.6470.5860.5580.089
DenverW-NW31102.3101.60.797108.4107.70.713.20.00615160.4840.5230.521-0.037
DetroitE-CT3193100.4-7.489.4103.6111.9-8.313.7-0.0697240.2260.2560.272-0.046
Golden StateW-PC32104.2112.6-8.499.4104.4112.9-8.510.1-0.0814280.1250.2230.200-0.075
HoustonW-SW3299.7100.8-1.194.6104.8105.9-1.114.6-0.02315170.4690.4640.470-0.001
IndianaE-CT3498.8107.7-8.997.9100.9110-9.113.3-0.0557270.2060.2070.247-0.041
LA ClippersW-PC3395.5104.4-8.992.7102.7112.4-9.716-0.0287260.2120.2070.272-0.060
LA LakersW-PC3099.8981.892.1106.2104.31.913.60.00117130.5670.5590.5550.012
MemphisW-SW32104.2105.5-1.393.5110.7112.1-1.414.4-0.00815170.4690.4570.4610.008
MiamiE-SE3395.297-1.890.1105107-2180.00415180.4550.4410.456-0.001
MilwaukeeE-CT3395.295.7-0.592.9101.5102-0.514.9-0.02913200.3940.4840.487-0.093
MinnesotaW-NW3298.3110.7-12.496.5100.9113.6-12.711.9-0.0775270.1560.0920.1430.013
New JerseyE-AT3392.1102.9-10.891.4100.8112.6-11.812.3-0.1094290.1210.1440.169-0.048
New OrleansW-SW3399.3104.1-4.892.6106.3111.4-5.111.3-0.07711220.3330.3420.3260.007
New YorkE-AT2998.7105.5-6.894103.5110.6-7.112.6-0.0518210.2760.2760.287-0.011
Oklahoma CityW-NW3298.697.31.394104.1102.81.310.50.00619130.5940.5430.5490.045
OrlandoE-SE3399.497.22.291.5108.3105.82.513.80.08719140.5760.5720.5720.004
PhiladelphiaE-AT3499102-392.8106109.3-3.311.4-0.03413210.3820.4010.386-0.004
PhoenixW-PC33107.7108.4-0.796.3111.4112.2-0.814.10.06916170.4850.4770.4770.008
PortlandW-NW3398.196.81.388.4108.9107.41.511-0.02918150.5450.5430.554-0.009
SacramentoW-PC3497.2105.1-7.993.4103.4111.8-8.49.3-0.0216280.1760.240.183-0.007
San AntonioW-SW2997.796.7191.1106.11051.112.20.03514150.4830.5330.536-0.053
TorontoE-AT31103109.3-6.394.1109.2115.8-6.618.3-0.00910210.3230.2930.359-0.036
UtahW-NW31100.398.41.993.2107.3105.22.112.60.02417140.5480.5630.566-0.018
WashingtonE-SE2995.6101.3-5.793101.7107.9-6.211.7-0.019200.3100.3120.2980.012

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 AverageNBA31.799.597.42.192.1107.3105.02.313.60.00717.913.80.565
West AverageNBA32.5103.399.93.494.0109.4105.73.712.70.02220.512.00.631
NBA AverageNBA32.1101.4101.40.093.1108.3108.30.013.20.01419.212.90.598
AtlantaE-SE32105.5978.591.5113.9104.79.214.1-0.0012570.7810.780.7430.038
BostonE-AT3098.6953.691.1107.9103.9414.60.02418120.6000.6190.608-0.008
CharlotteE-SE3197.590.86.792.4104.597.37.2140.0432380.7420.7210.6960.046
ChicagoE-CT3299.198.30.893.7104.1103.30.816.80.0219130.5940.5260.5190.075
ClevelandE-CT32103.794.29.590114.8104.310.59.10.1312840.8750.8130.876-0.001
DallasW-SW32101.8992.892109.2106.32.99.5-0.0232390.7190.5920.6200.099
DenverW-NW33112.4102.79.797.3114.91059.912.20.0282850.8480.8190.7910.057
DetroitE-CT3393.495.5-2.188.9104106.4-2.413.7-0.07115180.4550.4310.4300.025
Golden StateW-PC32109.3109.4-0.1103.4108.6108.7-0.117.5-0.0513190.4060.4970.498-0.092
HoustonW-SW31102.8101.51.393.3108106.61.412.4-0.00717140.5480.5430.5450.003
IndianaE-CT30100.4101-0.697.3103.3103.8-0.513.40.01114160.4670.480.485-0.018
LA ClippersW-PC3295.697.6-292.3103.6105.7-2.113.80.04818140.5630.4340.4390.124
LA LakersW-PC3510595.49.695.1110.4100.310.112.80.0313050.8570.8160.7850.072
MemphisW-SW33100.299.80.493106.1105.70.411.9-0.01219140.5760.5130.5130.063
MiamiE-SE3297.293.53.790.4106.9102.84.117.6-0.0118140.5630.6220.592-0.029
MilwaukeeE-CT3010196.94.192.1107.8103.54.312.8-0.0112190.7000.6350.6320.068
MinnesotaW-NW3397.7102.9-5.295.7101.8107.2-5.412.7-0.0059240.2730.3290.335-0.062
New JerseyE-AT3189.298.8-9.691.597.5108-10.510.4-0.0993280.0970.1840.156-0.059
New OrleansW-SW32100.499.4192.4107.6106.51.18.9-0.01221110.6560.5330.5490.107
New YorkE-AT35103.3104.2-0.993.9108.7109.7-117.5-0.03414210.4000.470.477-0.077
Oklahoma CityW-NW31100.995.25.792.2108.8102.66.213.30.02720110.6450.6880.680-0.035
OrlandoE-SE33104.393.111.293.6111.499.41212.20.1192760.8180.8690.838-0.020
PhiladelphiaE-AT3095.999.8-3.990.7105109.3-4.313.7-0.04110200.3330.3720.377-0.044
PhoenixW-PC32111.3103.77.695116.8108.8813.80.1112480.7500.750.7190.031
PortlandW-NW349893.74.387.7111.4106.64.814.60.0121130.6180.6420.629-0.011
SacramentoW-PC31104.5104.30.295.8107.7107.50.211.60.02216150.5160.5070.5070.009
San AntonioW-SW33103.4967.492.1112.3104.3812.10.08423100.6970.7440.745-0.048
TorontoE-AT32105102393.1112.1108.93.211.90.04122100.6880.5990.6060.082
UtahW-NW33106.297.38.992.9113.9104.49.513.60.0782580.7580.7930.7580.000
WashingtonE-SE3398.5101.1-2.691.5107109.8-2.812-0.01912210.3640.4140.408-0.044



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


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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

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ON THE ROAD

road eff

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AT HOME

home eff

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LAST 5 GAMES

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There are 6 items tagged with Defensive Efficiency