Algosys College Basketball

Search teams and players

Type a team or player name. Results are alphabetical; players show their 2026 team. Up and Down move, Enter opens the highlighted result or the first one, Esc closes.

Taylor Dyson

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

Observed career performance

959:33 minutes logged

Games logged
46
Minutes per game
20:52
Points per game
8.6
Rebounds / assists per game
2.6 / 0.5
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game8.62.60.50.30.01.01.7
Per 40 minutes16.55.01.00.70.12.03.3
Season totals396119241624778
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG121–33636.0%7.314.0
2P36–10235.3%2.24.3
3P85–23436.3%5.19.8
FT69–8878.4%1.93.7
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
48.7%52.8%69.6%26.2%0.51

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 Taylor DysonHartford 2719:318.22.30.516.834.6%71.4%50.3%
2015 Taylor DysonHartford 1922:469.23.00.516.238.3%87.2%56.4%

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

NIL methodology