Usage Score
37.6
Player Dossier
2023-2025South Carolina
QB • 6'3" • 240 lbs • Florence, SC, USA
Lanorris Sellers is a dual-threat creator with 37.6 usage in the latest tracked season.
Usage Score
37.6
Efficiency
61.7
Consistency
72.8
Season Value
65.9
Career Arc
Value trend by season
Best season by value score: 2024 Postseason · South Carolina
Snapshot
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.
Lanorris Sellers, QB. Best season Best season by value score: 2024 Postseason · South Carolina. Lanorris Sellers is a dual-threat creator with 37.6 usage in the latest tracked season.
Lanorris Sellers played QB for South Carolina. Across 3 tracked seasons, Lanorris Sellers recorded 5,050 passing yards, 1,002 rushing yards, and 21 receiving yards. His top tracked season came in 2024 with South Carolina.
Lead takeaway
Best season by value score: 2024 Postseason
South Carolina paired 3,208 primary output with 66.4 efficiency.
Supporting note
2025 Regular Season role shape
pass-led usage with 61.7 efficiency.
Supporting note
Career value stayed steady
2025 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: Clemson
Loss shaped by high passing volume and turnover pressure. It landed in the 100th percentile of the selected season.
Analysis workspace
Filter the strongest season sample, inspect game-level shape, and then drop into the full log without losing the story of the year.
Understand the selected season before dropping into the full game log.
Games
12
Primary Metric / G
225.6
Efficiency
61.7
Usage
37.6
Consistency
72.8
Best Game by takeover score
Clemson
Active game
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Hover or select a game to keep its context visible here without the page shifting around.
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. Virginia Tech: 234. Unknown: 151. Vanderbilt: 91. Missouri: 274. Kentucky: 234. LSU: 143. Oklahoma: 115. Alabama: 289. Ole Miss: 163. Texas A&M: 274. Coastal Carolina: 356. Clemson: 383
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.
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High volumeLower quality
Volume on the x-axis, quality on the y-axis.
Volume versus efficiency scatter chart. Virginia Tech: 32 by 68.5. Unknown: 27 by 60.7. Vanderbilt: 10 by 57.1. Missouri: 38 by 63.5. Kentucky: 28 by 81.9. LSU: 49 by 46.9. Oklahoma: 39 by 52.3. Alabama: 50 by 59.7. Ole Miss: 45 by 44.2. Texas A&M: 42 by 57.1. Coastal Carolina: 28 by 95. Clemson: 54 by 53.2
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Dense stat lines with inline explanations and season-linked highlights.
12 games
Featured metric
Total Offense
Top game by takeover score
Clemson
Best efficiency game
95 vs Coastal Carolina
| Result | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sat 11/29 | vs Clemson300-yard game | L 14-28 | 23 | 42 | 381 | 54.8 | 2 | 2 | 53.2 | 12 | 2 | 0.20 | 0 | 13 |
| Sat 11/22 | vs Coastal Carolina3+ TD · Dual-threat | W 51-7 | 16 | 20 | 274 | 80.0 | 2 | 0 | 95 | 8 | 82 | 10.30 | 2 | 26 |
| Sat 11/15 | @ Texas A&M | L 30-31 | 15 | 30 | 246 | 50.0 | 2 | 1 | 57.1 | 12 | 28 | 2.30 | 0 | 14 |
| Sat 11/1 | @ Ole Miss | L 14-30 | 16 | 30 | 180 | 53.3 | 1 | 2 | 44.2 | 15 | -17 | -1.10 | 1 | 11 |
| Sat 10/25 | vs AlabamaDual-threat | L 22-29 | 18 | 32 | 222 | 56.3 | 1 | 1 | 59.7 | 18 | 67 | 3.70 | 1 | 17 |
| Sat 10/18 | vs Oklahoma | L 7-26 | 17 | 25 | 124 | 68.0 | 1 | 0 | 52.3 | 14 | -9 | -0.60 | 0 | 13 |
| Sat 10/11 | @ LSU | L 10-20 | 15 | 27 | 124 | 55.6 | 0 | 1 | 46.9 | 22 | 19 | 0.90 | 0 | 12 |
| Sat 9/27 | vs KentuckyDual-threat | W 35-13 | 11 | 14 | 153 | 78.6 | 0 | 0 | 81.9 | 14 | 81 | 5.80 | 0 | 20 |
| Sat 9/20 | @ Missouri300-yard game | L 20-29 | 18 | 28 | 302 | 64.3 | 2 | 0 | 63.5 | 10 | -28 | -2.80 | 0 | 7 |
| Sat 9/13 | vs Vanderbilt | L 7-31 | 6 | 7 | 94 | 85.7 | 0 | 1 | 57.1 | 3 | -3 | -1 | 0 | 8 |
| Sat 9/6 | vs Unknown | — | 11 | 19 | 128 | 57.9 | 1 | 0 | 60.7 | 8 | 23 | 2.90 | 0 | 16 |
| Sun 8/31 | vs Virginia Tech | W 24-11 | 12 | 19 | 209 | 63.2 | 1 | 0 | 68.5 | 13 | 25 | 1.90 | 1 | 16 |
Track team changes, role shifts, and season-to-season movement.
South Carolina
2023-2025
Opening stop
Season Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2023 Regular Season | South Carolina | 137 | 75.8 | 5.1 | — |
| 2024 Postseason | South Carolina | 3,208 | 66.4 | 33.2 | 3,071 |
| 2024 Regular Season | South Carolina | 3,208 | 66.4 | 33.2 | 0 |
| 2025 Regular Season | South Carolina | 2,707 | 61.7 | 37.6 | -501 |
#1 Featured game
Clemson
Loss shaped by high passing volume and turnover pressure.
383
Primary metric
383 total offense with 53.2 efficiency.
#2
Missouri
398
Primary metric
Win with 398 yards of offense and 71.7 efficiency.
398 total offense with 71.7 efficiency.
#3
Coastal Carolina
356
Primary metric
Win with balanced pass-rush production and strong creator value.
356 total offense with 95 efficiency.
#4
Clemson
330
Primary metric
Win with balanced pass-rush production and strong creator value.
330 total offense with 77 efficiency.
#5
Texas A&M
350
Primary metric
Win with balanced pass-rush production and strong creator value.
350 total offense with 73.5 efficiency.
#1 Season by value score
2024 Postseason · South Carolina
3,208 primary output · 66.4 efficiency · 33.2 usage
69.8
#2
2024 Regular Season · South Carolina
69.8
3,208 primary · 66.4 efficiency · 33.2 usage
#3
2025 Regular Season · South Carolina
65.9
2,707 primary · 61.7 efficiency · 37.6 usage
12
250+ passing yards
6
300+ total offense
2
3+ takeover TD games
15
Above avg efficiency
Recruit Profile
Class 2023 · Rating 0.9127
South Florence · Florence, SC
Career Facts
1
Career teams
4
Seasons tracked
6,052
Career Total Offense
Data Context
Coverage spans 4 tracked seasons, 27 games, and SP opponent-strength context when available. Derived metrics fall back to raw production when share or rating context is missing.