Tyler Nelson
Fairfield · 20 available appearances · 2017–2017 · Linked seasons and observed career performance
Logged performance
717:34 minutes logged
- Games logged
- 20
- Minutes per game
- 35:53
- Points per game
- 17.4
- Rebounds / assists per game
- 3.1 / 3.5
| Basis | Pts | Reb | Ast | Stl | Blk | TO | PF |
|---|---|---|---|---|---|---|---|
| Per game | 17.4 | 3.1 | 3.5 | 1.2 | 0.1 | 2.3 | 1.8 |
| Per 40 minutes | 19.5 | 3.5 | 3.8 | 1.3 | 0.1 | 2.5 | 2.0 |
| Season totals | 349 | 63 | 69 | 24 | 2 | 45 | 36 |
| Shot | Made–att. | Pct | Att/G | Att/40 |
|---|---|---|---|---|
| FG | 110–263 | 41.8% | 13.2 | 14.7 |
| 2P | 63–137 | 46.0% | 6.8 | 7.6 |
| 3P | 47–126 | 37.3% | 6.3 | 7.0 |
| FT | 82–100 | 82.0% | 5.0 | 5.6 |
| eFG% | Estimated TS% | 3PA / FGA | FTA / FGA | AST / TO |
|---|---|---|---|---|
| 50.8% | 56.8% | 47.9% | 38.0% | 1.53 |
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 player's by-season table below shows it for 2025–26 if one is published, and the linked athlete page has the full card.
Model-implied value and speculative compensation by seasonβ
Game log
| Measure | Graphic | Last five | Listed games | Range |
|---|---|---|---|---|
| Minutes | 32:40 | 35:53 | 29:56–40:00 | |
| Points | 17.6 | 17.4 | 10.0–28.0 | |
| Game eFG% | 54.1% | 51.1% | 14.3%–78.6% |
| Season and date | Opponent | Result | Min | Pts | Reb | Ast | Stl | Blk | TO | PF | FG | 3P | FT | eFG |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017 · 2017-03-04 | Siena | L 66–78 | 32:26 | 25 | 4 | 4 | 1 | 0 | 1 | 3 | 6-20 | 4-13 | 9-12 | 40.0% |
| 2017 · 2017-02-24 | Canisius | W 58–55 | 30:03 | 17 | 2 | 1 | 0 | 0 | 1 | 0 | 6-10 | 2-3 | 3-3 | 70.0% |
| 2017 · 2017-02-19 | St Peter's | L 55–74 | 29:56 | 13 | 3 | 0 | 0 | 0 | 1 | 1 | 3-8 | 0-4 | 7-8 | 37.5% |
| 2017 · 2017-02-09 | Marist | W 73–53 | 37:20 | 17 | 6 | 6 | 2 | 1 | 2 | 4 | 7-13 | 2-4 | 1-2 | 61.5% |
| 2017 · 2017-02-02 | Niagara | W 81–61 | 33:36 | 16 | 3 | 10 | 1 | 0 | 2 | 2 | 7-13 | 2-6 | 0-1 | 61.5% |
| 2017 · 2017-01-31 | Manhattan | W 78–49 | 34:17 | 20 | 2 | 4 | 2 | 0 | 4 | 3 | 7-13 | 6-8 | 0-0 | 76.9% |
| 2017 · 2017-01-28 | Marist | W 72–62 | 39:53 | 21 | 5 | 2 | 1 | 0 | 3 | 3 | 6-17 | 3-9 | 6-8 | 44.1% |
| 2017 · 2017-01-17 | St Peter's | L 55–69 | 40:00 | 11 | 1 | 1 | 0 | 0 | 2 | 2 | 4-9 | 1-4 | 2-2 | 50.0% |
| 2017 · 2017-01-15 | Siena | L 54–63 | 36:52 | 13 | 5 | 5 | 1 | 0 | 4 | 2 | 4-11 | 1-5 | 4-4 | 40.9% |
| 2017 · 2017-01-10 | Canisius | L 72–86 | 39:12 | 24 | 1 | 1 | 2 | 0 | 7 | 1 | 6-13 | 4-8 | 8-9 | 61.5% |
| 2017 · 2017-01-05 | Manhattan | W 97–79 | 38:37 | 16 | 0 | 7 | 0 | 0 | 1 | 2 | 3-8 | 1-3 | 9-10 | 43.8% |
| 2017 · 2017-01-02 | Iona | W 93–87 | 39:57 | 17 | 6 | 8 | 1 | 0 | 1 | 1 | 6-15 | 4-9 | 1-2 | 53.3% |
| 2017 · 2016-12-30 | Penn | L 68–74 | 35:45 | 21 | 5 | 1 | 0 | 0 | 2 | 1 | 7-21 | 5-10 | 2-2 | 45.2% |
| 2017 · 2016-12-21 | Boston College | W 89–83 | 34:59 | 20 | 3 | 5 | 3 | 1 | 3 | 2 | 5-13 | 2-9 | 8-10 | 46.2% |
| 2017 · 2016-12-06 | Bucknell | L 64–75 | 35:43 | 12 | 3 | 2 | 2 | 0 | 2 | 3 | 4-11 | 2-4 | 2-2 | 45.5% |
| 2017 · 2016-12-03 | Siena | L 73–80 | 36:22 | 23 | 0 | 4 | 3 | 0 | 1 | 1 | 8-19 | 2-9 | 5-6 | 47.4% |
| 2017 · 2016-11-26 | Army | W 75–74 | 37:56 | 10 | 3 | 1 | 0 | 0 | 2 | 1 | 2-14 | 0-6 | 6-6 | 14.3% |
| 2017 · 2016-11-23 | Loyola MD | L 66–81 | 32:41 | 13 | 1 | 3 | 2 | 0 | 3 | 2 | 4-10 | 2-5 | 3-4 | 50.0% |
| 2017 · 2016-11-15 | Dartmouth | W 79–62 | 37:24 | 28 | 6 | 1 | 2 | 0 | 1 | 0 | 10-14 | 2-3 | 6-8 | 78.6% |
| 2017 · 2016-11-11 | Sacred Heart | W 85–63 | 34:35 | 12 | 4 | 3 | 1 | 0 | 2 | 2 | 5-11 | 2-4 | 0-1 | 54.5% |
Secondary NCAA-derived SportsDataverse archive; reconstructed player statistics. Corroborated against Kaggle dates, participants, scores and overtime; incomplete identity coverage is retained.