Algosys College Basketball

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Antanas Kavaliauskas

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

Observed career performance

1446:00 minutes logged

Games logged
62
Minutes per game
23:19
Points per game
9.5
Rebounds / assists per game
4.9 / 1.4
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game9.54.91.40.60.61.52.9
Per 40 minutes16.38.52.31.01.02.54.9
Season totals59030684373590178
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG241–42357.0%6.811.7
2P230–39957.6%6.411.0
3P11–2445.8%†0.40.7
FT97–15861.4%2.54.4
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
58.3%59.9%5.7%37.4%0.93

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 Antanas KavaliauskasTexas A&M 2917:086.43.41.015.162.5%†53.1%61.3%
2007 Antanas KavaliauskasTexas A&M 3328:4512.26.31.717.037.5%†65.1%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