Algosys College Basketball

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Jack Gibbs

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

Observed career performance

2055:11 minutes logged

Games logged
71
Minutes per game
28:57
Points per game
15.7
Rebounds / assists per game
3.0 / 4.0
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game15.73.04.01.40.02.21.8
Per 40 minutes21.74.15.61.90.03.12.4
Season totals1117210286970157125
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG353–81743.2%11.515.9
2P214–44148.5%6.28.6
3P139–37637.0%5.37.3
FT272–33082.4%4.66.4
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
51.7%58.0%46.0%40.4%1.82

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%
2014 Jack GibbsDavidson 2621:107.51.92.214.135.4%78.1%55.7%
2015 Jack GibbsDavidson 2029:5415.33.15.020.543.1%84.7%61.7%
2016 Jack GibbsDavidson 2536:1724.74.05.127.234.2%83.0%57.1%

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
2016Not applicabletraining: in model fitNo model-implied value is published.
2015Not applicabletraining: in model fitNo model-implied value is published.
2014Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology