Usage Score
4.9
Player Dossier
2015-2018Ole Miss
Zedrick Woods
DB • 5'11" • 201 lbs • Lake City, FL, USA
Ball-hunting defenderSplash play profile
Zedrick Woods shows a ball-hunting defender profile with 33.7 disruption score.
Efficiency
33.7
Consistency
11.1
Season Value
34.5
Career Arc
Value trend by season
Best season by Season Value: 2016 Regular Season · Ole Miss
15161718
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 4
- Program Path
- Ole Miss
- Peak Game
- Peak game by takeover score: Memphis
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.
Zedrick Woods, DB. Best season Best season by Season Value: 2016 Regular Season · Ole Miss. Zedrick Woods shows a ball-hunting defender profile with 33.7 disruption score.
Zedrick Woods played DB for Ole Miss. Across 4 tracked seasons, Zedrick Woods recorded 206 tackles and 3 touchdowns. His top tracked season came in 2018 with Ole Miss.
Player insights
Lead takeaway
Best season by value score: 2016 Regular Season
Ole Miss paired 8.5 primary output with 28.5 efficiency.
Supporting note
2018 Regular Season role shape
impact-led usage with 33.7 efficiency.
Supporting note
Career value stayed steady
2018 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: UL Monroe
Win with 3.5 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.
2018 Regular Season · Ole Miss
Games
12
Havoc Plays / G
0.6
Efficiency
33.7
Usage
4.9
Consistency
11.1
Best Game by takeover score
UL Monroe
Hover a point or expand a game row to keep the active game context visible here.
Active game
Hover over a point
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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. Texas Tech: 0. Southern Illinois: 0. Alabama: 0. Kent State: 2. LSU: 0. UL Monroe: 3.5. Arkansas: 1. Auburn: 0. South Carolina: 0. Texas A&M: 0. Vanderbilt: 0. Mississippi State: 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. Texas Tech: 9 by 37.5. Southern Illinois: 5 by 20.8. Alabama: 6 by 25. Kent State: 7 by 49.2. LSU: 6 by 25. UL Monroe: 4 by 51.7. Arkansas: 8 by 43.3. Auburn: 9 by 37.5. South Carolina: 8 by 33.3. Texas A&M: 6 by 25. Vanderbilt: 2 by 8.3. Mississippi State: 9 by 47.5
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Wins1.3 · Games = 5 · +1.2 vs Losses
Losses0.1 · Games = 7 · -1.2 vs Wins
Game Log
Dense stat lines with inline explanations and season-linked highlights.
12 games
Featured metric
Havoc Plays
Top game by takeover score
UL Monroe
Best efficiency game
51.7 vs UL Monroe
| Result | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fri 11/23 | vs Mississippi State | L 3-35 | 9 | 5 | — | 0 | 0 | — | 1 | — | — |
| Sun 11/18 | @ Vanderbilt | L 29-36 | 2 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/10 | @ Texas A&M | L 24-38 | 6 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/3 | vs South Carolina | L 44-48 | 8 | 6 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/20 | vs Auburn | L 16-31 | 9 | 4 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/13 | @ Arkansas | W 37-33 | 8 | 3 | — | 0 | 0 | 1 | 0 | — | — |
| Sat 10/6 | vs UL MonroeSplash game | W 70-21 | 4 | 1 | — | 1 | 0.50 | — | 2 | — | — |
| Sun 9/30 | @ LSU | L 16-45 | 6 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/22 | vs Kent StateSplash game | W 38-17 | 7 | 5 | — | 0 | 0 | 1 | 1 | — | — |
| Sat 9/15 | vs Alabama | L 7-62 | 6 | 4 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/8 | vs Southern Illinois | W 76-41 | 5 | 4 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/1 | @ Texas Tech | W 47-27 | 9 | 7 | — | 0 | 0 | — | 0 | — | — |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Ole Miss
2015-2018
Opening stop
Season Value Progression
2015201620172018
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2015 Regular Season | Ole Miss | 1 | 10 | — | — |
| 2016 Regular Season | Ole Miss | 8.5 | 28.5 | 5.1 | 7.5 |
| 2017 Regular Season | Ole Miss | 6 | 29.7 | 4.3 | -2.5 |
| 2018 Regular Season | Ole Miss | 7.5 | 33.7 | 4.9 | 1.5 |
Signature Performances
Top Games
#1 Featured game
Memphis
Win with 5.5 impact plays across the defensive snap sheet.
5.5
Primary metric
5.5 disruption/tackle impact with 67 takeover score.
#2
LSU
1
Primary metric
Win with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 60 takeover score.
#3
UL Monroe
3.5
Primary metric
Win with 3.5 impact plays across the defensive snap sheet.
3.5 disruption/tackle impact with 52.5 takeover score.
#4
South Alabama
2
Primary metric
Win with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 44.9 takeover score.
#5
Kent State
2
Primary metric
Win with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 37.6 takeover score.
Top Seasons
#1 Season by Season Value
2016 Regular Season · Ole Miss
8.5 primary output · 28.5 efficiency · 5.1 usage
35.5
#2
2018 Regular Season · Ole Miss
34.5
7.5 primary · 33.7 efficiency · 4.9 usage
#3
2017 Regular Season · Ole Miss
30
6 primary · 29.7 efficiency · 4.3 usage
Milestones
2
Impact games
4
Splash games
3
10+ tackle games
Bio, Recruit, and Data Context
Career Facts
1
Career teams
4
Seasons tracked
206
Career Tackles
Data Context
Coverage spans 4 tracked seasons, 37 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.
Next best actions
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