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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.
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.
New basketball positions were classified by Stanford University student Muthu Alagappan, who while working for the data visualization company Ayasdi, mapped the network of one season NBA players linking them by the similarity of their statistics. Then, based on node clusters players were grouped into 13 positions.
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Kentucky Wildcats Athletics Director Mitch Barnhart, center, talks on the field with University of Kentucky donors Joe Craft, right, and his wife, Kelly Craft, left, before a football game against ...
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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 ...