Algosys College Basketball

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Ta'Jon Welcome

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

Observed career performance

480:43 minutes logged

Games logged
31
Minutes per game
15:30
Points per game
4.6
Rebounds / assists per game
1.7 / 0.9
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game4.61.70.90.30.10.81.5
Per 40 minutes11.84.52.20.70.32.23.8
Season totals1425427842646
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG52–13538.5%4.411.2
2P37–6160.7%†2.05.1
3P15–7420.3%2.46.2
FT23–3076.7%1.02.5
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
44.1%47.9%54.8%22.2%1.04

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%
2015 Ta'Jon WelcomeNorthwestern LA 1315:144.61.81.112.125.0%†80.0%†51.4%†
2016 Ta'Jon WelcomeNorthwestern LA 1815:424.61.70.711.616.7%†75.0%†45.7%†

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.

NIL methodology