Usage Score
17.2
Player Dossier
2014-2017Tulsa
Nigel Carter
WR • 6'3" • 205 lbs • Tulsa, OK, USA
Reliable chain-moverPossession profile
Nigel Carter reads as a reliable chain-mover based on recent role and receiving efficiency.
Efficiency
58.9
Consistency
30
Season Value
51.2
Career Arc
Value trend by season
Best season by value score: 2017 Regular Season · Tulsa
141515161617
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 6
- Program Path
- Tulsa
- Peak Game
- Peak game by takeover score: South Florida
Scouting Read
Best season and peak-game context are pinned here so the rest of the page can stay analytical without losing the headline story.
Nigel Carter, WR. Best season Best season by value score: 2017 Regular Season · Tulsa. Nigel Carter reads as a reliable chain-mover based on recent role and receiving efficiency.
Nigel Carter played WR for Tulsa. Across 4 tracked seasons, Nigel Carter recorded 404 receiving yards, 3 tackles, and 1 touchdowns. His top tracked season came in 2017 with Tulsa.
Player insights
Lead takeaway
Best season by value score: 2017 Regular Season
Tulsa paired 287 primary output with 58.9 efficiency.
Supporting note
2017 Regular Season role shape
target-driven usage with 58.9 efficiency.
Supporting note
Career value is trending up
2017 Regular Season improved on the prior stop by season value score.
Supporting note
Peak game by takeover score: South Florida
Loss with an explosive receiving profile. It landed in the 100th percentile of the selected season.
Analysis workspace
Season Workbench
Filter the strongest season sample, inspect game-level shape, and then drop into the full log without losing the story of the year.
Season Explorer
Understand the selected season before dropping into the full game log.
2017 Regular Season · Tulsa
Games
11
Receiving Yards / G
26.1
Efficiency
58.9
Usage
17.2
Consistency
30
Best Game by takeover score
Temple
Hover a point or expand a game row to keep the active game context visible here.
Active game
Hover over a point
Hover or select a game to keep its context visible here without the page shifting around.
Game-by-Game Trend
Follow how the selected stat changes from one game to the next. Spikes mark standout outings, while dips show quieter weeks.
Chronological game order.
Game by game trend chart. Oklahoma State: 18. Louisiana: 11. New Mexico: 5. Navy: 43. Tulane: 1. Houston: 2. UConn: 50. SMU: 60. Memphis: 14. South Florida: 83. Temple: 0
Volume vs Efficiency
Each dot is a game. Farther right means the player carried more of the workload, and higher means they were more efficient with those chances.
Low volumeHigh quality
High volumeHigh quality
Low volumeLower quality
High volumeLower quality
Volume on the x-axis, quality on the y-axis.
Volume versus efficiency scatter chart. Oklahoma State: 2 by 60. Louisiana: 1 by 73.3. New Mexico: 1 by 33.3. Navy: 4 by 71.7. Tulane: 1 by 6.7. Houston: 1 by 13.3. UConn: 2 by 100. SMU: 4 by 100. Memphis: 3 by 31.1. South Florida: 3 by 100
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Wins6.5 · Games = 2 · -23.9 vs Losses
Losses30.4 · Games = 9 · +23.9 vs Wins
First Half13.3 · Games = 6 · -28.1 vs Second Half
Second Half41.4 · Games = 5 · +28.1 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
11 games
Featured metric
Receiving Yards
Top game by takeover score
South Florida
Best efficiency game
100 vs South Florida
| Result | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Sat 11/25 | vs Temple | L 22-43 | — | — | — | — | — | — | — |
| Fri 11/17 | @ South Florida | L 20-27 | — | 3 | 83 | 27.7 | 27.70 | 0 | 58 |
| Sat 11/4 | vs Memphis | L 14-41 | — | 3 | 14 | 4.7 | 4.70 | 0 | 6 |
| Sat 10/28 | @ SMU | L 34-38 | — | 4 | 60 | 15 | 15 | 1 | 41 |
| Sat 10/21 | @ UConn | L 14-20 | — | 2 | 50 | 25 | 25 | 0 | 35 |
| Sat 10/14 | vs Houston | W 45-17 | — | 1 | 2 | 2 | 2 | 0 | 2 |
| Sat 10/7 | @ Tulane | L 28-62 | — | 1 | 1 | 1 | 1 | 0 | 1 |
| Sat 9/30 | vs Navy | L 21-31 | — | 4 | 43 | 10.8 | 10.80 | 0 | 22 |
| Sat 9/23 | vs New Mexico | L 13-16 | — | 1 | 5 | 5 | 5 | 0 | 5 |
| Sat 9/9 | vs Louisiana | W 66-42 | — | 1 | 11 | 11 | 11 | 0 | 11 |
| Thu 8/31 | @ Oklahoma State | L 24-59 | — | 2 | 18 | 9 | 9 | 0 | 11 |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Tulsa
2014-2017
Opening stop
Season Progression
201420152015201620162017
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2014 Regular Season | Tulsa | 24 | 53.3 | 4.9 | — |
| 2015 Postseason | Tulsa | 27 | 56.7 | 6.9 | 3 |
| 2015 Regular Season | Tulsa | 27 | 56.7 | 6.9 | 0 |
| 2016 Postseason | Tulsa | 66 | 71.1 | 8.7 | 39 |
| 2016 Regular Season | Tulsa | 66 | 71.1 | 8.7 | 0 |
| 2017 Regular Season | Tulsa | 287 | 58.9 | 17.2 | 221 |
Signature Performances
Top Games
#1 Featured game
South Florida
Loss with an explosive receiving profile.
83
Primary metric
83 receiving yards with a 100 efficiency score.
#2
SMU
60
Primary metric
Loss with an explosive receiving profile.
60 receiving yards with a 100 efficiency score.
#3
Virginia Tech
25
Primary metric
Loss with an explosive receiving profile.
25 receiving yards with a 100 efficiency score.
#4
Florida Atlantic
12
Primary metric
Loss with an explosive receiving profile.
12 receiving yards with a 80 efficiency score.
#5
Unknown
40
Primary metric
Game with an explosive receiving profile.
40 receiving yards with a 66.7 efficiency score.
Top Seasons
#1 Season by value score
2017 Regular Season · Tulsa
287 primary output · 58.9 efficiency · 17.2 usage
51.2
#2
2016 Postseason · Tulsa
41.6
66 primary · 71.1 efficiency · 8.7 usage
#3
2016 Regular Season · Tulsa
41.6
66 primary · 71.1 efficiency · 8.7 usage
Milestones
0
100+ receiving yards
0
8+ catch outings
0
2+ TD games
Bio, Recruit, and Data Context
Recruit Profile
2★
Class 2014 · Rating 0.7883
McLain · Tulsa, OK
- Committed To
- Tulsa
- Commit Date
- Jan 1, 2014
Career Facts
1
Career teams
6
Seasons tracked
404
Career Receiving Yards
Data Context
Coverage spans 6 tracked seasons, 19 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.