Algosys College Basketball

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Dashawn King

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

Observed career performance

793:20 minutes logged

Games logged
44
Minutes per game
18:02
Points per game
7.7
Rebounds / assists per game
2.6 / 1.4
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game7.72.61.40.80.21.52.4
Per 40 minutes17.15.83.21.70.53.45.2
Season totals3391166334968104
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG118–26644.4%6.013.4
2P94–19947.2%4.510.0
3P24–6735.8%1.53.4
FT79–11668.1%2.65.8
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
48.9%53.5%25.2%43.6%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%
2016 Dashawn KingMissouri KC 1818:497.92.81.716.828.6%†71.4%50.2%
2017 Dashawn KingMissouri KC 2617:297.62.51.217.341.0%†66.2%56.1%

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
2017Not applicabletraining: in model fitNo model-implied value is published.
2016Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology