Usage Score
7.4
Player Dossier
2014-2017UCLA
Jaleel Wadood
DB • 5'9" • 180 lbs • Los Angeles, CA, USA
Ball-hunting defenderSplash play profile
Jaleel Wadood shows a ball-hunting defender profile with 35.8 disruption score.
Efficiency
35.8
Consistency
9.1
Season Value
15
Career Arc
Value trend by season
Best season by value score: 2014 Postseason · UCLA
141415161717
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 6
- Program Path
- UCLA
- Peak Game
- Peak game by takeover score: Utah
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.
Jaleel Wadood, DB. Best season Best season by value score: 2014 Postseason · UCLA. Jaleel Wadood shows a ball-hunting defender profile with 35.8 disruption score.
Jaleel Wadood played DB for UCLA. Across 4 tracked seasons, Jaleel Wadood recorded 156 tackles. His top tracked season came in 2016 with UCLA.
Player insights
Lead takeaway
Best season by value score: 2014 Postseason
UCLA paired 0 primary output with 0 efficiency.
Supporting note
2017 Postseason role shape
impact-led usage with 35.8 efficiency.
Supporting note
Career value stayed steady
2017 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: Texas A&M
Win with 4 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.
2017 Postseason · UCLA
Games
11
Havoc Plays / G
0.5
Efficiency
35.8
Usage
7.4
Consistency
9.1
Best Game by takeover score
Kansas State
Hover a point or expand a game row to keep the active game context visible here.
Active game
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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. Kansas State: 0. Texas A&M: 4. Hawai'i: 0. Stanford: 0. Colorado: 0. Arizona: 0. Oregon: 0. Washington: 1. Utah: 0. USC: 1. California: 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. Kansas State: 9 by 37.5. Texas A&M: 8 by 73.3. Hawai'i: 3 by 12.5. Stanford: 11 by 45.8. Colorado: 8 by 33.3. Arizona: 10 by 41.7. Oregon: 10 by 41.7. Washington: 8 by 43.3. Utah: 4 by 16.7. USC: 4 by 26.7. California: 5 by 20.8
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Wins0.8 · Games = 5 · +0.5 vs Losses
Losses0.3 · Games = 6 · -0.5 vs Wins
First Half0.7 · Games = 6 · +0.3 vs Second Half
Second Half0.4 · Games = 5 · -0.3 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
11 games
Featured metric
Havoc Plays
Top game by takeover score
Texas A&M
Best efficiency game
73.3 vs Texas A&M
| Result | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed 12/27 | vs Kansas State | L 17-35 | 9 | 9 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/25 | vs California | W 30-27 | 5 | 4 | — | 0 | 0 | — | 0 | — | — |
| Sun 11/19 | @ USC | L 23-28 | 4 | 4 | — | 0 | 0 | 1 | 0 | — | — |
| Sat 11/4 | @ Utah | L 17-48 | 4 | 4 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/28 | @ Washington | L 23-44 | 8 | 7 | — | 1 | 0 | — | 0 | — | — |
| Sat 10/21 | vs Oregon10+ tackles | W 31-14 | 10 | 9 | — | 0 | 0 | — | 0 | — | — |
| Sun 10/15 | @ Arizona10+ tackles | L 30-47 | 10 | 8 | — | 0 | 0 | — | 0 | — | — |
| Sun 10/1 | vs Colorado | W 27-23 | 8 | 7 | — | 0 | 0 | — | 0 | — | — |
| Sun 9/24 | @ Stanford10+ tackles | L 34-58 | 11 | 6 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/9 | vs Hawai'i | W 56-23 | 3 | 2 | — | 0 | 0 | — | 0 | — | — |
| Sun 9/3 | vs Texas A&M | W 45-44 | 8 | 6 | — | 1 | 0 | — | 3 | — | — |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
UCLA
2014-2017
Opening stop
Season Progression
201420142015201620172017
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2014 Postseason | UCLA | 0 | 0 | — | — |
| 2014 Regular Season | UCLA | 0 | 0 | — | 0 |
| 2015 Regular Season | UCLA | 2 | 20 | — | 2 |
| 2016 Regular Season | UCLA | 6 | 33.1 | 7.1 | 4 |
| 2017 Postseason | UCLA | 6 | 35.8 | 7.4 | 0 |
| 2017 Regular Season | UCLA | 6 | 35.8 | 7.4 | 0 |
Signature Performances
Top Games
#1 Featured game
Utah
Loss with 2 impact plays across the defensive snap sheet.
2
Primary metric
2 disruption/tackle impact with 61 takeover score.
#2
Texas A&M
4
Primary metric
Win with 4 impact plays across the defensive snap sheet.
4 disruption/tackle impact with 60.6 takeover score.
#3
Washington State
1
Primary metric
Loss with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 60 takeover score.
#4
Oregon State
1
Primary metric
Win with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 60 takeover score.
#5
Texas A&M
1
Primary metric
Loss with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 37.9 takeover score.
Top Seasons
#1 Season by value score
2014 Postseason · UCLA
0 primary output · 0 efficiency · — usage
50
#2
2014 Regular Season · UCLA
50
0 primary · 0 efficiency · — usage
#3
2015 Regular Season · UCLA
40.9
2 primary · 20 efficiency · — usage
Milestones
4
Impact games
0
Splash games
6
10+ tackle games
Bio, Recruit, and Data Context
Recruit Profile
4★
Class 2014 · Rating 0.9459
St. John Bosco · Lakewood, CA
- Committed To
- UCLA
- Commit Date
- Jan 1, 2014
Career Facts
1
Career teams
6
Seasons tracked
156
Career Tackles
Data Context
Coverage spans 6 tracked seasons, 26 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.