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2012 NCAA TOURNAMENT-PROJECTED
BASED ON SEASON ENDING ADJUSTED NGE, SEEDINGS, AND
ALL ACTUAL GAME RESULTS AS THEY ARE PLAYED
(Note: Match ups for all games Automatically Change AsActual NCAA Tournament Results Change Future Tournament Match Ups)

2012 NCAA TEAM DATA
AND NGE RANKING

2012 NCAA TEAM DATA
AND NGE RANKING
ROUND OF 32

2012 NCAA TEAM DATA
AND NGE RANKING
SWEET 16

2012 NCAA TEAM DATA
AND NGE RANKING
ELITE 8

 

2012 NCAA TEAM DATA
AND NGE RANKING
FINAL 4

 

2012 NCAA TEAM DATA
AND NGE RANKING
CHAMPIONSHIP GAME

 

AVERAGE ADJUSTED NGE FOR EACH SEED POSITION FOR 2012

 

2011 SUMMARY OF PREDICTED V ACTUAL GAME BY GAME RESULTS


HOW HAVE THE NON-BCS TEAMS PERFORMED
AGAINST BCS TEAMS IN 2011?

 

SUMMARY OF UPSET FREQUENCIES AND TOURNAMENT UPSETS
SORTED BY PREDICTED MARGINS-2011

THEORETICAL V ACTUAL WINNING PERCENTAGE OF FAVORITES
AS A FUNCTION OF PREDICTED MARGIN-2011


To Data Tables for Games Against Team Ranked RPI Top 50

The above data is presented in the next series of tables providing more detail in two respects.  First, the tables examine more categories of statistics, and second, the data is sorted based on the following factors, in the order shown below:

  1. All Games, Including Exhibitions
  2. All Games-D1 [No Exhibitions]
  3. Home
  4. Away
  5. Neutral Court
  6. Non-Conference
  7. SEC
  8. Pomeroy Top 50
  9. Pomeroy Over 50
  10. Post Season Play
  11. Games Since Louisville Game, 2003-2011
  12. SEC Tournament Gateway
  13. NCAA Tournament

You may link to any of these sorted data pages using the links above, or you can browse them in sequence using the "Continue" buttons at the bottom of each page.

 

IMPORTANT NOTE: In 2009-10, the Kentucky basketball team's rebounding became so dominant in the first 10 games that the differences created by a varied definition of a possession became substantial, and based on a 10 game comparison of predicted and actual results using the original definition and the Pomeroy definition, I have decided to start using the Pomeroy definition for a possession beginning with the 2009-10 season, and thereafter. However, I have no means to convert the data for all prior seasons to this new definition at this time. Therefore, any attempts to compare pace and efficiency derived values for 2009-10 and later with any prior season's posted values will fail. The differences are:

1. Pace values will be lower, by the number of offensive rebounds.

2. Efficiencies will be higher due to the lower number of total possessions

3. Turnover rates will be higher due to the lower number of possessions.

CHECK OUT THESE OTHER ANALYTICAL WRITINGS

What Is Basketball?

What is a Possession?

Change in Position on Definition of Possessions

What Is Net Game Efficiency?

Why Do "Upsets" Occur?

Do Objective Performance Measures Like NGE
Account For Intangible?

 

 

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SugarHill Communications of Kentucky
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