Cumulative Statistics
23 of 24 box scores retrieved
stat-gap was executed on this season

Player GP FG 3PT FTM-A FT% PTS
Jon Phillips 24 146 33 98-122 80.3% 424
James Napier 24 127 6 55-81 67.9% 316
Jason Spear 24 106 66 23-39 59.0% 302
Paul Fitzgerald 24 65 24 42-87 48.3% 195
David Walker 24 33 0 18-38 47.4% 85
Wyatt Craig 24 13 3 13-15 86.7% 41
Andy Coleman 24 11 1 2-10 20.0% 26
Shane Stickle 7 2 0 3-7 42.9% 7
Drew Shaddock 4 2 0 2-6 33.3% 6
Bart Hogge 2 3 0 0-2 0.0% 6
David Enochs 5 2 0 2-3 66.7% 6
Patrick Agnew 2 0 0 3-4 75.0% 3
Totals: 23 490 128 250-397 63.0% 1358

Per Game Averages

Player GP AVG FT%
Jon Phillips 24 17.7 80.3%
James Napier 24 13.2 67.9%
Jason Spear 24 12.6 59.0%
Paul Fitzgerald 24 8.1 48.3%
David Walker 24 3.5 47.4%
Wyatt Craig 24 1.7 86.7%
Andy Coleman 24 1.1 20.0%
Shane Stickle 7 1.0 42.9%
Drew Shaddock 4 1.5 33.3%
Bart Hogge 2 3.0 0.0%
David Enochs 5 1.2 66.7%
Patrick Agnew 2 1.5 75.0%
Totals: 23 66.1 63.0%
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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.