Basketball Terms Ipsum

2-point field goals 3p 3-point field goal percentage (available since the 1979-80 season in the nba); the formula is 3p / 3pa. age assist percentage (available since the 1964-65 season in the nba); the formula is 100 * ast / (((mp / (tm mp / 5)) * tm fg) - fg). assist percentage is an estimate of the percentage of teammate field goals a player assisted while he was on on the floor. the formula is (award points) / (maximum number of award points). for example, in the 2002-03 mvp voting tim duncan had 962 points out of a possible 1190. his mvp award share is 962 / 1190 = 0.81. dws field goal percentage; the formula is fg / fga. fga ft% game score; the formula is pts + 0.4 * fg - 0.7 * fga - 0.4*(fta - ft) + 0.7 * orb + 0.3 * drb + stl + 0.7 * ast + 0.7 * blk - 0.4 * pf - tov. game score was created by john hollinger to give a rough measure of a player's productivity for a single game. the scale is similar to that of points scored, (40 is an outstanding performance, 10 is an average performance, etc.). gs l pythagorean losses; the formula is g - w pyth. lg orb% a statistic (e.g., assists) divided by minutes played, multiplied by 36. a statistic (e.g., assists) divided by games. personal fouls possessions (available since the 1973-74 season in the nba); the formula for teams is 0.5 * ((tm fga + 0.4 * tm fta - 1.07 * (tm orb / (tm orb + opp drb)) * (tm fga - tm fg) + tm tov) + (opp fga + 0.4 * opp fta - 1.07 * (opp orb / (opp orb + tm drb)) * (opp fga - opp fg) + opp tov)). this formula estimates possessions based on both the team's statistics and their opponent's statistics, then averages them to provide a more stable estimate. the formula for players is rather lengthy and can be found in dean oliver's book. points produced; dean oliver's measure of offensive points produced. please see dean's book for details. rookie of the year sos steals (available since the 1973-74 season in the nba) ts% w pythagorean wins; the formula is g * (tm pts14 / (tm pts14 + opp pts14)). the formula was obtained by fitting a logistic regression model with log(tm pts / opp pts) as the explanatory variable. using this formula for all baa, nba, and aba seasons, the root mean-square error (rmse) is 3.14 wins. using an exponent of 16.5 (a common choice), the rmse is 3.48 wins. (note: an exponent of 10 is used for the wnba.) the estimated probability that team a will defeat team b in a given matchup..