RECORD | ROSTER | STATS | MEDIA

Cumulative Statistics
21 of 22 box scores retrieved
stat-gap was executed on this season

Player GP FG 3PT FTM-A FT% PTS
Greg Pulliam 22 134 29 45-63 71.4% 364
Joe Guill 17 112 60 34-48 70.8% 332
Craig Sand 22 61 8 52-84 61.9% 188
Jeremy Dooley 22 49 0 50-69 72.5% 164
Eddie Cook 22 32 0 45-85 52.9% 118
Shane McNamara 22 30 0 31-72 43.1% 98
Karl Uotinen 22 18 0 25-57 43.9% 68
Eddie Gibson 22 8 0 13-19 68.4% 29
Robbie Allen 13 0 0 2-3 66.7% 2
Jon Schrader 13 0 0 2-6 33.3% 2
Danny Farris 5 0 0 0-1 0.0% 0
Totals: 21 423 92 286-483 59.2% 1300

Per Game Averages

Player GP AVG FT%
Greg Pulliam 22 16.5 71.4%
Joe Guill 17 19.5 70.8%
Craig Sand 22 8.5 61.9%
Jeremy Dooley 22 7.5 72.5%
Eddie Cook 22 5.4 52.9%
Shane McNamara 22 4.5 43.1%
Karl Uotinen 22 3.1 43.9%
Eddie Gibson 22 1.3 68.4%
Robbie Allen 13 0.2 66.7%
Jon Schrader 13 0.2 33.3%
Danny Farris 5 0.0 0.0%
Totals: 21 66.7 59.2%
 
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What is stat-gap?

Some seasons in this archive are missing newspaper coverage for one or more games — either the game was never covered in print, or the surviving clipping reports only the final score with no individual player statistics.

stat-gap is a labeled statistical estimate, applied only when requested by the site admin and only once a season has enough real, documented games to make the sample meaningful. For each player with real per-game stats on file, it takes that player's own established per-game averages — computed strictly from their real, documented games — and projects those same averages onto the season's missing games, one game's worth of estimated production per missing game.

Totals and averages here may therefore include stat-gap's projected production layered on top of real, documented numbers. stat-gap never invents an individual game — only a season-total projection, clearly marked wherever it's been applied.

A player's totals may be manually adjusted based on records existing outside of newspaper research.