Algosys College Basketball

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Philip McCandies

Only corroborated player-season records; not complete career coverage.

Observed career performance

1274:00 minutes logged

Games logged
58
Minutes per game
21:58
Points per game
6.0
Rebounds / assists per game
6.3 / 1.0
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game6.06.31.00.80.81.73.1
Per 40 minutes10.911.41.91.51.43.15.6
Season totals34836360484599179
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG138–25753.7%4.48.1
2P119–20558.0%3.56.4
3P19–5236.5%0.91.6
FT53–8264.6%1.42.6
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
57.4%59.4%20.2%31.9%0.61

Combined corroborated seasons only; not complete career coverage. † marks a rate on fewer attempts than the floor (field goal 100, three-point 50, free throw 25). Floors are descriptive, not model output. Definitions

Linked seasons

Linked seasons, per-game and shooting rates. † marks a rate on fewer attempts than the declared floor.
SeasonTeamGMPGPtsRebAstPts/403P%FT%TS%
2006 Philip McCandiesCol Charleston 2616:355.15.50.712.342.9%†67.4%59.5%†
2007 Philip McCandiesCol Charleston 3226:216.86.91.310.235.6%†61.5%59.3%

Career identity corroborated by repeated game, team and individual-statistic matches. Unlinked seasons are excluded.

Speculative compensation · 2025–26β

No speculative compensation is published for this player: there is no current-season team to read a pool from.

No revenue-sharing budget existed before the 2025–26 season, so no compensation figure is modelled for earlier seasons.

Model-implied value and speculative compensation by seasonβ

No model-implied value is published for this player: fewer than 300 on-court possessions in every season, or the team’s games were outside the lineup audit.

Seasons played, with no model-implied value published
SeasonTeamSpeculative compensation (best guess)Compensation 80% rangeSplit roleValue
2007Not applicabletraining: in model fitNo model-implied value is published.
2006Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology