All 58 picks from the 2023 NBA Draft evaluated through the Gaussian Hoops ML model.
GH Model shows the predicted outcome tier (Star / Fringe) and its probability —
based on pre-draft stats, physical measurements, and pick position. The Logistic Regression model
was trained on 494 historical picks (2015–2024).
Toggle between Pre-Draft Stats (what the model saw) and NBA Peak
(what actually happened) to evaluate model accuracy.
DCS2 = Draft Composite Score v2 — position-adjusted statistical quality score.
Outcome = actual NBA career tier (Star / Rotation / Fringe / Bust).
⚠ Data quality flag indicates limited pre-draft data — model prediction may be less reliable.
| # | GH Rank | Player | Pos | College / League | DCS2 | PPG | RPG | APG | TS% | GH Model | Outcome |
|---|