Game Statistics Calculator

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Basketball analytics has transformed from simple box scores to sophisticated statistical analysis. Since Dr. James Naismith invented basketball in 1891, the way we measure and analyze player performance has evolved dramatically. The first statistical tracking focused on basic metrics like points scored, but modern analytics encompasses complex efficiency ratings and advanced performance metrics that provide deeper insights into player contributions and team dynamics.
Player Efficiency Rating (PER) = (Points + Rebounds + Assists + Steals + Blocks - Missed FG - Missed FT - Turnovers) / Game Minutes
True Shooting % (TS%) = Points / (2 × (FGA + 0.44 × FTA))
Plus/Minus measures the point differential when a player is on the court. For example, if a player's team scores 10 points and allows 4 points while they're playing, their plus/minus would be +6. This stat helps evaluate a player's overall impact on the game beyond traditional box score statistics.
Game Score is a metric created by John Hollinger that gives a rough measure of a player's productivity for a single game. The formula weighs various statistics including points (1.0), rebounds (0.4), assists (0.7), steals (0.7), blocks (0.7), field goal missed (-0.7), free throw missed (-0.4), turnovers (-0.7), and fouls (-0.4). A Game Score of 10 is average, while 40+ represents an exceptional performance.
Offensive Rating measures points produced per 100 possessions, while Defensive Rating measures points allowed per 100 possessions. A higher Offensive Rating and lower Defensive Rating are better. These metrics help evaluate a player's impact on both ends of the floor while accounting for the pace of play. The league average for both ratings is typically around 112.0.
Player Efficiency Rating (PER) is a comprehensive metric that summarizes a player's statistical accomplishments into a single number. It adjusts for pace of play and normalizes performance across different eras. The league average PER is set at 15.0, with anything above 20.0 considered excellent and above 25.0 as MVP-caliber performance.
Possession-based statistics like Offensive and Defensive Rating provide a more accurate picture of team and player performance by accounting for the pace of play. They normalize stats to show what would happen over 100 possessions, making it easier to compare players and teams that play at different speeds. However, they rely on accurate possession tracking and can be affected by lineup combinations.