Algosys College Basketball

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Tone Boyle

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

Observed career performance

2013:05 minutes logged

Games logged
58
Minutes per game
34:43
Points per game
13.3
Rebounds / assists per game
3.3 / 1.1
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game13.33.31.10.90.21.51.5
Per 40 minutes15.43.81.31.00.21.71.8
Season totals774191635198589
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG239–63637.6%11.012.6
2P95–24139.4%4.24.8
3P144–39536.5%6.87.8
FT152–20474.5%3.54.1
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
48.9%53.3%62.1%32.1%0.74

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%
2009 Tone BoyleWI Milwaukee 2936:0013.33.21.114.836.9%77.6%53.0%
2011 Tone BoyleWI Milwaukee 2933:2513.33.41.116.036.1%71.1%53.6%

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
2011Not applicabletraining: in model fitNo model-implied value is published.
2009Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology