This is the Chicago College Basketball Glossary. In here you will find a description of many of the statistical terms that are used throughout the posts of CCB. For relevant team statistics I've included the top NCAA Division I team from Chicago in each category for the 2008-09 season.

Offensive Efficiency
How many points a team scores per possession. Adjusted offensive efficiency is adjusted for the strength of the defenses a team has played against. Note the value is multiplied by 100 before being presented. Northwestern had the highest adjusted offensive efficiency at 110.6.

Defensive Efficiency
How many points a team allows per possession. Adjusted defensive efficiency is adjusted for the strength of the defenses a team has played against. Note the value is multiplied by 100 before being presented. Northwestern had the lowest adjusted defensive efficiency at 97.9.

The Four Factors
There are four components to success on a basketball court. They are shooting the ball well (or effective field goal percentage), taking care of the ball (or turnover percentage), offensive rebounding (or offensive rebounding percentage) and getting to the free throw line (or free throw rate). Basketball statistician Dean Oliver estimates that the factors contribute 40%, 25%, 20% and 15% respectively to efficiency.

Efficiency Contribution
A model which attempts to weigh the impact of the four factors and pace on offensive efficiency. Can be expressed as a decimal or in points per game format. The first reference I found to it was on Cracked Sidewalks, a Marquette basketball blog with a statistical bent.

Effective Field Goal Percentage
A better representation of a player's shooting ability it takes into account the bonuses of a made three-pointer. It is calculated: FGM + (0.5 x 3PM))/FGA. Northwestern had the highest effective field goal percentage at 52.6 percent.

Turnover Percentage
The percentage of offensive possessions that ended in a turnover. Northwestern had the lowest turnover percentage at 17.8 percent.

Offensive Rebound Percentage
The percentage of "available" rebounds a team or player grabs while on the court. For a team it is calculated: TmOReb / (TmOReb + OppDReb). Chicago State had the highest offensive rebounding percentage at 37.3 percent.

Free Throw Rate
An attempt to quantify how often a team gets to the free throw line. The definition used on this site is FTA/FGA. Other sites may use Free Throw Points Scored / Possessions. Chicago State had the highest free throw rate at 37.7 percent.

Tempo or Pace
The number of possessions a team uses during a game. It can be adjusted to take into account the impact of opponent playing styles. Chicago State played at the fastest adjusted tempo at 75.4 possessions per game.

When discussed on a per player basis the model revolves around the NBA model. It is based around "good" and "bad" stats. The formula is: ((Pts + TReb + A + Stl + Blk) - ((FGA - FGM) + (FTA - FTM) + TO)). Efficiency typically gives a good starting point to look into the play of one player during a game.

True Shooting Percentage
Like effective field goal percentage, true shooting percentage attempts to take into the added value of three-point shots and free throws. The formula is: Pts/(2*(FGA + (.44*FTA))).

Pythagorean Record
Bill James originally conceived of Pythagorean records for baseball. The same type of formula, with a different exponent, works for college basketball as well. Oliver and Ken Pomeroy appear to have settled on an exponent of 11.5 making the formula: Points Score^11.5/(Points Scored^11.5 + Points Allowed^11.5).

Win Score
Developed by David Berri, Martin Schmidt, and Stacey Brook, Win Score is the quick and dirty substitute for the more in-depth statistic Wins Produced. Win Score - in a basketball context - is calculated: Points + Rebounds + Steals + .5*Assists + .5*Blocked Shots - Field Goal Attempts - Turnovers - .5*Free Throw Attempts - .5*Personal Fouls. The statistic can be used for a single game or over an entire season. While not quite as accurate as Wins Produced it is far easier to understand and to calculate. More on Win Score at The Wages of Wins blog.

If there are any other stats that you don't understand on the site please email and I will add an explanation to the glossary. Thank you.