Michael Young
Pittsburgh · 20 available appearances · 2017–2017
Logged performance
679:24 minutes logged
- Games logged
- 20
- Minutes per game
- 33:58
- Points per game
- 19.3
- Rebounds / assists per game
- 7.4 / 2.7
| Basis | Pts | Reb | Ast | Stl | Blk | TO | PF |
|---|---|---|---|---|---|---|---|
| Per game | 19.3 | 7.4 | 2.7 | 0.7 | 0.8 | 1.9 | 1.6 |
| Per 40 minutes | 22.7 | 8.7 | 3.2 | 0.8 | 0.9 | 2.2 | 1.9 |
| Season totals | 386 | 148 | 54 | 13 | 16 | 38 | 33 |
| Shot | Made–att. | Pct | Att/G | Att/40 |
|---|---|---|---|---|
| FG | 132–287 | 46.0% | 14.3 | 16.9 |
| 2P | 107–215 | 49.8% | 10.8 | 12.7 |
| 3P | 25–72 | 34.7% | 3.6 | 4.2 |
| FT | 97–125 | 77.6% | 6.3 | 7.4 |
| eFG% | Estimated TS% | 3PA / FGA | FTA / FGA | AST / TO |
|---|---|---|---|---|
| 50.3% | 56.4% | 25.1% | 43.6% | 1.42 |
Accepted logged appearances only; absent games are not zeroes. † 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
Speculative compensationβ
No revenue-sharing budget existed before the 2025–26 season, so no compensation figure is modelled for earlier seasons. The logs on this page are from seasons before 2025–26. A speculative best guess with an 80% range exists for 2025–26 only, for players on a modelled team; this season's identity is not linked to a 2025–26 season.
Model-implied value and speculative compensation by seasonβ
Game log
| Measure | Graphic | Last five | Listed games | Range |
|---|---|---|---|---|
| Minutes | 34:45 | 33:58 | 22:42–38:51 | |
| Points | 15.0 | 19.3 | 11.0–30.0 | |
| Game eFG% | 42.2% | 49.9% | 21.9%–72.7% |
| Season and date | Opponent | Result | Min | Pts | Reb | Ast | Stl | Blk | TO | PF | FG | 3P | FT | eFG |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017 · 2017-03-07 | Georgia Tech | W 61–59 | 35:54 | 17 | 6 | 3 | 2 | 1 | 1 | 1 | 7-16 | 1-3 | 2-2 | 46.9% |
| 2017 · 2017-02-28 | Georgia Tech | L 52–61 | 29:42 | 16 | 4 | 1 | 1 | 0 | 2 | 0 | 6-14 | 1-4 | 3-5 | 46.4% |
| 2017 · 2017-02-25 | North Carolina | L 67–85 | 35:38 | 17 | 8 | 1 | 0 | 1 | 3 | 1 | 4-10 | 2-5 | 7-9 | 50.0% |
| 2017 · 2017-02-18 | Florida St | W 80–66 | 34:32 | 11 | 4 | 6 | 1 | 1 | 2 | 2 | 2-7 | 0-2 | 7-9 | 28.6% |
| 2017 · 2017-02-14 | Virginia Tech | L 63–66 | 38:01 | 14 | 10 | 1 | 0 | 0 | 2 | 2 | 7-18 | 0-1 | 0-0 | 38.9% |
| 2017 · 2017-02-11 | Syracuse | W 80–75 | 37:47 | 21 | 9 | 6 | 0 | 0 | 3 | 1 | 7-14 | 0-2 | 7-9 | 50.0% |
| 2017 · 2017-02-08 | Boston College | W 83–72 | 37:30 | 30 | 7 | 2 | 1 | 2 | 1 | 2 | 11-19 | 2-5 | 6-8 | 63.2% |
| 2017 · 2017-02-04 | Duke | L 64–72 | 38:00 | 24 | 4 | 2 | 1 | 2 | 0 | 0 | 10-17 | 0-2 | 4-7 | 58.8% |
| 2017 · 2017-01-31 | North Carolina | L 78–80 | 38:12 | 19 | 10 | 2 | 1 | 0 | 1 | 3 | 7-11 | 2-4 | 3-3 | 72.7% |
| 2017 · 2017-01-28 | Clemson | L 60–67 | 32:43 | 14 | 8 | 1 | 1 | 0 | 1 | 3 | 3-16 | 1-7 | 7-8 | 21.9% |
| 2017 · 2017-01-24 | Louisville | L 51–106 | 26:48 | 12 | 2 | 1 | 1 | 0 | 4 | 2 | 2-9 | 1-4 | 7-8 | 27.8% |
| 2017 · 2017-01-11 | Louisville | L 80–85 | 34:46 | 17 | 11 | 3 | 1 | 2 | 2 | 2 | 5-14 | 3-8 | 4-11 | 46.4% |
| 2017 · 2017-01-07 | Syracuse | L 66–77 | 32:21 | 17 | 7 | 0 | 1 | 0 | 0 | 3 | 6-15 | 1-2 | 4-4 | 43.3% |
| 2017 · 2016-12-31 | Notre Dame | L 77–78 | 38:51 | 25 | 7 | 7 | 2 | 0 | 1 | 1 | 10-24 | 4-9 | 1-1 | 50.0% |
| 2017 · 2016-12-21 | NE Omaha | W 94–75 | 27:16 | 24 | 11 | 6 | 0 | 1 | 4 | 2 | 9-15 | 3-4 | 3-3 | 70.0% |
| 2017 · 2016-12-07 | Buffalo | W 84–79 | 22:42 | 17 | 7 | 1 | 0 | 0 | 0 | 3 | 6-10 | 1-2 | 4-6 | 65.0% |
| 2017 · 2016-11-29 | Maryland | W 73–59 | 32:38 | 25 | 9 | 1 | 0 | 1 | 2 | 2 | 7-17 | 2-4 | 9-10 | 47.1% |
| 2017 · 2016-11-25 | Morehead St | W 76–63 | 33:44 | 20 | 6 | 4 | 0 | 1 | 4 | 0 | 8-14 | 1-1 | 3-4 | 60.7% |
| 2017 · 2016-11-22 | Yale | W 75–70 | 35:35 | 24 | 10 | 3 | 0 | 4 | 1 | 1 | 9-15 | 0-1 | 6-6 | 60.0% |
| 2017 · 2016-11-17 | SMU | L 67–76 | 36:44 | 22 | 8 | 3 | 0 | 0 | 4 | 2 | 6-12 | 0-2 | 10-12 | 50.0% |
Secondary NCAA-derived SportsDataverse archive; reconstructed player statistics. Corroborated against Kaggle dates, participants, scores and overtime; incomplete identity coverage is retained.