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Category league

69th

Points league

5th

He shoots 9.9 free throws a game at 65% against a 78.8% pool baseline — a −5.6 z-score. Category scoring charges that percentage drag; points scoring applies the configured event weights and lets his counting volume carry the result.

Category league

12th

Points league

42nd

The same effect, running backwards. Threes at +2.2 and steals at +1.8 give him scarce production in two category columns. Points scoring converts those events to the league's imported weights and values them as part of his full line.

Category league

157th

Points league

50th

A 107-place split, driven by how the formats treat his full line. His 3.2 turnovers a game score −2.3 in categories; points scoring applies the imported turnover weight alongside his positive counting stats.

Late-season minutes

+103%

Production per 36

32.3

Points, rebounds, assists, steals, blocks and threes come to 32.3 per 36 minutes — and over the closing weeks his minutes ran at double his own season rate. The sleeper board looks for a role changing, not a hot week.

Players above average

131

Best player's z-score

+6.5

Threes are the opposite: 173 players clear the average and the best is worth +3.6. That gap is why asking for blocks costs more in a trade than asking for threes — and why CourtIQ prices a deal against your league's categories instead of a generic value chart.