Algosys College Basketball

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David Pekarek

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

Observed career performance

537:31 minutes logged

Games logged
30
Minutes per game
17:55
Points per game
5.3
Rebounds / assists per game
1.8 / 0.7
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game5.31.80.70.40.41.21.8
Per 40 minutes11.83.91.50.90.92.64.1
Season totals158532012123555
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG56–16134.8%5.412.0
2P26–5250.0%†1.73.9
3P30–10927.5%3.68.1
FT16–2466.7%†0.81.8
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
44.1%46.0%67.7%14.9%0.57

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 David PekarekFordham 2419:005.82.00.712.330.1%60.0%†47.7%
2017 David PekarekFordham 6Few games13:363.00.80.78.812.5%†100.0%†36.3%†

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

NIL methodology