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Basketball-Reference.com, which features a complex similarity-score system for NBA players; Football Outsiders; Baseball Prospectus, which uses similarity scores in PECOTA that are calculated in a way that differs significantly from James' method. Ken Pomeroy of Basketball Prospectus who uses similarity scores for college basketball players.
Advanced basketball statistics include effective field goal percentage (eFG%), true shooting percentage (TS%), (on-court/off-court) plus–minus, adjusted plus-minus (APM), real plus/minus (RPM), player efficiency rating (PER), offense efficiency rating, offensive rating, defensive rating, similarity score, tendex, and player tracking.
[9] [10] [11] At the conclusion of the 2012–13 NBA season Miami Heat head coach, Erik Spoelstra, stated that comparing players from different generations is the equivalent to comparing apples and oranges, explaining: "You'll never be able to tell [how James stacks up to Jordan or Magic Johnson] because they didn't play against each other. The ...
In professional basketball, the most commonly used statistical benchmark for comparing the overall value of players is called efficiency. It is a composite basketball statistic that is derived from basic individual statistics: points, rebounds, assists, steals, blocks, turnovers, and shot attempts. In theory, efficiency accounts for both a ...
Some systems assume parity among all members of the league, such as each team being built from an equitable pool of players via a draft or free agency system as is done in many major league sports such as the NFL, MLB, NBA, and NHL. This is certainly not the case in collegiate leagues such as Division I-A football or men's and women's basketball.
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Averages per game are denoted by *PG, e.g. PPG (points), BLKPG or BPG (blocks), STPG or SPG (steals), APG (assists), RPG (rebounds) and MPG (minutes).Sometime the players statistics are divided by minutes played and multiplied by 48 minutes (had he played the entire game), denoted by * per 48 min. or *48M.