Usage Score
3.7
Player Dossier
2023-2025TCU
Vernon Glover
CB • 6'1" • 205 lbs • Dickinson, TX, USA
Ball-hunting defenderSplash play profile
Vernon Glover shows a ball-hunting defender profile with 20.9 disruption score.
Efficiency
20.9
Consistency
13.9
Season Value
15.2
Career Arc
Value trend by season
Best season by value score: 2025 Postseason · TCU
23242525
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 4
- Program Path
- TCU
- Peak Game
- Peak game by takeover score: Unknown
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.
Vernon Glover, CB. Best season Best season by value score: 2025 Postseason · TCU. Vernon Glover shows a ball-hunting defender profile with 20.9 disruption score.
Vernon Glover played CB for TCU. Across 3 tracked seasons, Vernon Glover recorded 45 tackles. His top tracked season came in 2025 with TCU.
Player insights
Lead takeaway
Best season by value score: 2025 Postseason
TCU paired 8 primary output with 20.9 efficiency.
Supporting note
2025 Postseason role shape
impact-led usage with 20.9 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: Baylor
Win with 3 impact plays across the defensive snap sheet. 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.
2025 Postseason · TCU
Games
12
Havoc Plays / G
0.7
Efficiency
20.9
Usage
3.7
Consistency
13.9
Best Game by takeover score
USC
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. USC: 0. North Carolina: 0. Unknown: 0. SMU: 1. Arizona State: 2. Kansas State: 0. Baylor: 3. West Virginia: 0. Iowa State: 1. BYU: 0. Houston: 0. Cincinnati: 1
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. USC: 6 by 25. North Carolina: 1 by 4.2. Unknown: 2 by 8.3. SMU: 2 by 18.3. Arizona State: 4 by 36.7. Kansas State: 4 by 16.7. Baylor: 6 by 55. West Virginia: 4 by 16.7. Iowa State: 2 by 18.3. BYU: 7 by 29.2. Houston: 1 by 4.2. Cincinnati: 2 by 18.3
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Wins0.7 · Games = 7 · -0.0 vs Losses
Losses0.8 · Games = 4 · +0.0 vs Wins
First Half0.5 · Games = 6 · -0.3 vs Second Half
Second Half0.8 · Games = 6 · +0.3 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
12 games
Featured metric
Havoc Plays
Top game by takeover score
Baylor
Best efficiency game
55 vs Baylor
| Result | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed 12/31 | vs USC | W 30-27 | 6 | 5 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/29 | vs Cincinnati | W 45-23 | 2 | 2 | — | 0 | 0 | — | 1 | — | — |
| Sat 11/22 | @ Houston | W 17-14 | 1 | 0 | — | 0 | 0 | — | 0 | — | — |
| Sun 11/16 | @ BYU | L 13-44 | 7 | 5 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/8 | vs Iowa State | L 17-20 | 2 | 1 | — | 0 | 0 | — | 1 | — | — |
| Sat 10/25 | @ West Virginia | W 23-17 | 4 | 3 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/18 | vs Baylor | W 42-36 | 6 | 4 | — | 0 | 0 | 1 | 2 | — | — |
| Sat 10/11 | @ Kansas State | L 28-41 | 4 | 4 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/27 | @ Arizona State | L 24-27 | 4 | 4 | — | 1 | 0 | — | 1 | — | — |
| Sat 9/20 | vs SMU | W 35-24 | 2 | 0 | — | 0 | 0 | — | 1 | — | — |
| Sun 9/14 | vs Unknown | — | 2 | 1 | — | 0 | 0 | — | 0 | — | — |
| Tue 9/2 | @ North Carolina | W 48-14 | 1 | 1 | — | 0 | 0 | — | 0 | — | — |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
TCU
2023-2025
Opening stop
Season Progression
2023202420252025
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2023 Regular Season | TCU | 1 | 9.2 | 1 | — |
| 2024 Regular Season | TCU | 0 | — | — | -1 |
| 2025 Postseason | TCU | 8 | 20.9 | 3.7 | 8 |
| 2025 Regular Season | TCU | 8 | 20.9 | 3.7 | 0 |
Signature Performances
Top Games
#1 Featured game
Unknown
Game with 1 impact plays across the defensive snap sheet.
1
Primary metric
1 disruption/tackle impact with 60 takeover score.
#2
Baylor
3
Primary metric
Win with 3 impact plays across the defensive snap sheet.
3 disruption/tackle impact with 56.2 takeover score.
#3
Arizona State
2
Primary metric
Loss with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 36.7 takeover score.
#4
Cincinnati
1
Primary metric
Win with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 17.9 takeover score.
#5
SMU
1
Primary metric
Win with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 17.8 takeover score.
Top Seasons
#1 Season by value score
2025 Postseason · TCU
8 primary output · 20.9 efficiency · 3.7 usage
15.2
#2
2025 Regular Season · TCU
15.2
8 primary · 20.9 efficiency · 3.7 usage
#3
2023 Regular Season · TCU
5.3
1 primary · 9.2 efficiency · 1 usage
Milestones
1
Impact games
0
Splash games
0
10+ tackle games
Bio, Recruit, and Data Context
Recruit Profile
3★
Class 2023 · Rating 0.8669
Dickinson · Dickinson, TX
- Committed To
- TCU
- Commit Date
- Jan 1, 2023
Career Facts
1
Career teams
4
Seasons tracked
45
Career Tackles
Data Context
Coverage spans 4 tracked seasons, 16 games, and SP opponent-strength context when available. Derived metrics fall back to raw production when share or rating context is missing.