Usage Score
32.6
Player Dossier
2015-2019UTEP
QB • 6'4" • 210 lbs • Baltimore, MD, USA
Kai Locksley is a pass-first distributor with 32.6 usage in the latest tracked season.
Usage Score
32.6
Efficiency
55.7
Consistency
61.2
Season Value
62.2
Career Arc
Value trend by season
Best season by value score: 2019 Regular Season · UTEP
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.
Kai Locksley, QB. Best season Best season by value score: 2019 Regular Season · UTEP. Kai Locksley is a pass-first distributor with 32.6 usage in the latest tracked season.
Kai Locksley played QB for Texas and UTEP. Across 5 tracked seasons, Kai Locksley recorded 2,266 passing yards, 885 rushing yards, and 1 tackles. His top tracked season came in 2019 with UTEP.
Lead takeaway
Best season by value score: 2019 Regular Season
UTEP paired 1,874 primary output with 55.7 efficiency.
Supporting note
2019 Regular Season role shape
pass-led usage with 55.7 efficiency.
Supporting note
Career value is trending up
2019 Regular Season improved on the prior stop by season value score.
Supporting note
Multi-stop career journey
Production spans 2 team stops, with role shifts visible across Texas, UTEP.
Supporting note
Peak game by takeover score: New Mexico State
Loss with balanced pass-rush production and strong creator value. 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
11
Primary Metric / G
170.4
Efficiency
55.7
Usage
32.6
Consistency
61.2
Best Game by takeover score
Rice
Active game
Hover over a point
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. Texas Tech: 54. Nevada: 27. Southern Miss: 223. UTSA: 58. Florida International: 183. Louisiana Tech: 244. North Texas: 156. Charlotte: 299. UAB: 6. New Mexico State: 461. Rice: 163
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 volumeHigh quality
Low volumeLower quality
High volumeLower quality
Volume on the x-axis, quality on the y-axis.
Volume versus efficiency scatter chart. Texas Tech: 16 by 51.4. Nevada: 17 by 15.7. Southern Miss: 27 by 77.2. UTSA: 21 by 45.2. Florida International: 23 by 74.9. Louisiana Tech: 40 by 59.2. North Texas: 43 by 54.8. Charlotte: 35 by 75.1. UAB: 5 by 15. New Mexico State: 56 by 72.1. Rice: 24 by 72.2
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.
11 games
Featured metric
Total Offense
Top game by takeover score
New Mexico State
Best efficiency game
77.2 vs Southern Miss
| Result | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sat 11/30 | vs RiceDual-threat | L 16-30 | 8 | 12 | 100 | 66.7 | 1 | 0 | 72.2 | 12 | 63 | 5.30 | 0 | 25 |
| Sat 11/23 | @ New Mexico State300-yard game · 3+ TD | L 35-44 | 24 | 38 | 358 | 63.2 | 2 | 1 | 72.1 | 18 | 103 | 5.70 | 1 | 40 |
| Sat 11/16 | @ UAB | L 10-37 | 0 | 4 | 0 | 0.0 | 0 | 1 | 15 | 1 | 6 | 6 | 0 | 6 |
| Sat 11/9 | vs CharlotteDual-threat | L 21-28 | 15 | 20 | 215 | 75.0 | 1 | 1 | 75.1 | 15 | 84 | 5.60 | 1 | 38 |
| Sat 11/2 | @ North Texas | L 26-52 | 17 | 29 | 119 | 58.6 | 0 | 0 | 54.8 | 14 | 37 | 2.60 | 0 | 20 |
| Sun 10/27 | vs Louisiana Tech | L 21-42 | 17 | 30 | 227 | 56.7 | 1 | 0 | 59.2 | 10 | 17 | 1.70 | 1 | 13 |
| Sat 10/19 | @ Florida InternationalDual-threat | L 17-32 | 7 | 12 | 117 | 58.3 | 1 | 0 | 74.9 | 11 | 66 | 6 | 0 | 16 |
| Sun 10/6 | vs UTSA | L 16-26 | 2 | 8 | 41 | 25.0 | 0 | 0 | 45.2 | 13 | 17 | 1.30 | 0 | 12 |
| Sat 9/28 | @ Southern MissDual-threat | L 13-31 | 8 | 15 | 109 | 53.3 | 0 | 0 | 77.2 | 12 | 114 | 9.50 | 1 | 63 |
| Sun 9/22 | vs Nevada | L 21-37 | 2 | 6 | 10 | 33.3 | 0 | 2 | 15.7 | 11 | 17 | 1.50 | 1 | 14 |
| Sun 9/8 | @ Texas Tech | L 3-38 | 3 | 7 | 33 | 42.9 | 0 | 0 | 51.4 | 9 | 21 | 2.30 | 0 | 12 |
Track team changes, role shifts, and season-to-season movement.
Texas
2015
Opening stop
UTEP
2016-2019
Final stop
Season Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2015 Regular Season | Texas | 0 | — | — | — |
| 2016 Regular Season | UTEP | 0 | — | — | 0 |
| 2017 Regular Season | UTEP | 0 | — | — | 0 |
| 2018 Regular Season | UTEP | 1,277 | 48 | 30.3 | 1,277 |
| 2019 Regular Season | UTEP | 1,874 | 55.7 | 32.6 | 597 |
#1 Featured game
New Mexico State
Loss with balanced pass-rush production and strong creator value.
461
Primary metric
461 total offense with 72.1 efficiency.
#2
New Mexico State
258
Primary metric
Loss with balanced pass-rush production and strong creator value.
258 total offense with 65.3 efficiency.
#3
UTSA
223
Primary metric
Loss with balanced pass-rush production and strong creator value.
223 total offense with 60.7 efficiency.
#4
Charlotte
299
Primary metric
Loss with balanced pass-rush production and strong creator value.
299 total offense with 75.1 efficiency.
#5
UNLV
176
Primary metric
Loss with balanced pass-rush production and strong creator value.
176 total offense with 54 efficiency.
#1 Season by value score
2019 Regular Season · UTEP
1,874 primary output · 55.7 efficiency · 32.6 usage
62.2
#2
2018 Regular Season · UTEP
53.7
1,277 primary · 48 efficiency · 30.3 usage
#3
2015 Regular Season · Texas
—
0 primary · — efficiency · — usage
3
250+ passing yards
1
300+ total offense
1
3+ takeover TD games
8
Above avg efficiency
Recruit Profile
Class 2015 · Rating 0.8947
Gilman · Baltimore, MD
Career Facts
2
Career teams
5
Seasons tracked
3,151
Career Total Offense
Data Context
Coverage spans 5 tracked seasons, 20 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.