Usage Score
4.6
Player Dossier
2019-2023North Carolina
Giovanni Biggers
DB • 6'2" • 200 lbs • Woodbridge, VA, USA
Ball-hunting defenderSplash play profile
Giovanni Biggers shows a ball-hunting defender profile with 20.6 disruption score.
Efficiency
20.6
Consistency
7.7
Season Value
9.4
Career Arc
Value trend by season
Best season by value score: 2019 Regular Season · North Carolina
1920202121222323
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 8
- Program Path
- North Carolina
- Peak Game
- Peak game by takeover score: Miami
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.
Giovanni Biggers, DB. Best season Best season by value score: 2019 Regular Season · North Carolina. Giovanni Biggers shows a ball-hunting defender profile with 20.6 disruption score.
Player insights
Lead takeaway
Best season by value score: 2019 Regular Season
North Carolina paired 0 primary output with 16.7 efficiency.
Supporting note
2023 Postseason role shape
impact-led usage with 20.6 efficiency.
Supporting note
Career value stayed steady
2023 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: App State
Win with 1 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.
2023 Postseason · North Carolina
Games
13
Havoc Plays / G
0.2
Efficiency
20.6
Usage
4.6
Consistency
7.7
Best Game by takeover score
West Virginia
Hover a point or expand a game row to keep the active game context visible here.
Game-by-Game Trend
12345678910111213
Chronological game order.
Game by game trend chart. West Virginia: 0. South Carolina: 0. App State: 1. Minnesota: 0. Pittsburgh: 0. Syracuse: 1. Miami: 1. Virginia: 0. Georgia Tech: 0. Unknown: 0. Duke: 0. Clemson: 0. NC State: 0
Volume vs Efficiency
Low volume / high quality
High volume / high quality
Low volume / lower quality
High volume / lower quality
Volume on the x-axis, quality on the y-axis.
Volume versus efficiency scatter chart. West Virginia: 3 by 12.5. South Carolina: 5 by 20.8. App State: 8 by 43.3. Minnesota: 4 by 16.7. Pittsburgh: 2 by 8.3. Syracuse: 3 by 22.5. Miami: 1 by 14.2. Virginia: 4 by 16.7. Georgia Tech: 5 by 20.8. Unknown: 5 by 20.8. Duke: 6 by 25. Clemson: 8 by 33.3. NC State: 3 by 12.5
Split Comparison
Wins0.4 · n=7 · +0.4 vs Losses
Losses0 · n=5 · -0.4 vs Wins
First Half0.4 · n=7 · +0.4 vs Second Half
Second Half0 · n=6 · -0.4 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
13 games
Featured metric
Havoc Plays
Top game by takeover score
App State
Best efficiency game
43.3 vs App State
| Result | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed 12/27 | @ West Virginia | L 10-30 | 3 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sun 11/26 | @ NC State | L 20-39 | 3 | 2 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/18 | @ Clemson | L 20-31 | 8 | 4 | — | 0 | 0 | — | 0 | — | — |
| Sun 11/12 | vs Duke | W 47-45 | 6 | 4 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/4 | vs Unknown | — | 5 | 4 | — | 0 | 0 | — | 0 | — | — |
| Sun 10/29 | @ Georgia Tech | L 42-46 | 5 | 3 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/21 | vs Virginia | L 27-31 | 4 | 2 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/14 | vs Miami | W 41-31 | 1 | 1 | — | 0 | 0 | 1 | 0 | — | — |
| Sat 10/7 | vs Syracuse | W 40-7 | 3 | 2 | — | 1 | 0 | — | 0 | — | — |
| Sun 9/24 | @ Pittsburgh | W 41-24 | 2 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/16 | vs Minnesota | W 31-13 | 4 | 2 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/9 | vs App State | W 40-34 | 8 | 6 | — | 0 | 0 | — | 1 | — | — |
| Sat 9/2 | vs South Carolina | W 31-17 | 5 | 2 | — | 0 | 0 | — | 0 | — | — |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
North Carolina
2019-2023
Opening stop
Season Progression
20192020202020212021202220232023
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2019 Regular Season | North Carolina | 0 | 16.7 | 2.5 | — |
| 2020 Postseason | North Carolina | 1 | 8.2 | 2 | 1 |
| 2020 Regular Season | North Carolina | 1 | 8.2 | 2 | 0 |
| 2021 Postseason | North Carolina | 10.5 | 25.4 | 6.4 | 9.5 |
| 2021 Regular Season | North Carolina | 10.5 | 25.4 | 6.4 | 0 |
| 2022 Regular Season | North Carolina | 3 | 22.8 | 4.4 | -7.5 |
| 2023 Postseason | North Carolina | 3 | 20.6 | 4.6 | 0 |
| 2023 Regular Season | North Carolina | 3 | 20.6 | 4.6 | 0 |
Signature Performances
Top Games
#1 Featured game
Miami
Win with 3 impact plays across the defensive snap sheet.
3
Primary metric
3 disruption/tackle impact with 54.8 takeover score.
#2
Duke
1.5
Primary metric
Win with 1.5 impact plays across the defensive snap sheet.
1.5 disruption/tackle impact with 53.4 takeover score.
#3
App State
1
Primary metric
Win with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 49.7 takeover score.
#4
Syracuse
1
Primary metric
Win with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 46 takeover score.
#5
Notre Dame
2
Primary metric
Loss with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 43.9 takeover score.
Top Seasons
#1 Season by value score
2019 Regular Season · North Carolina
0 primary output · 16.7 efficiency · 2.5 usage
39.7
#2
2021 Postseason · North Carolina
20.9
10.5 primary · 25.4 efficiency · 6.4 usage
#3
2021 Regular Season · North Carolina
20.9
10.5 primary · 25.4 efficiency · 6.4 usage
Milestones
0
Impact games
1
Splash games
1
10+ tackle games
Bio, Recruit, and Data Context
Recruit Profile
3★
Class 2025 · Rating 0.8756
Bishop O'Dowd · Oakland, CA
- Committed To
- —
- Commit Date
- Jan 1, 2025
Career Facts
1
Career teams
8
Seasons tracked
176
Career Tackles
Data Context
Coverage spans 8 tracked seasons, 43 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.