Usage Score
6.9
Player Dossier
2017-2021Pittsburgh
LB • 6'1" • 220 lbs • Kendall Park, NJ, USA
Phil Campbell III shows a ball-hunting defender profile with 34.4 disruption score.
Usage Score
6.9
Efficiency
34.4
Consistency
40.4
Season Value
44.7
Career Arc
Value trend by season
Best season by Season Value: 2019 Postseason · Pittsburgh
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.
Phil Campbell III, LB. Best season Best season by Season Value: 2019 Postseason · Pittsburgh. Phil Campbell III shows a ball-hunting defender profile with 34.4 disruption score.
Phil Campbell III played LB for Pittsburgh. Across 5 tracked seasons, Phil Campbell III recorded -4 rushing yards and 199 tackles. His top tracked season came in 2021 with Pittsburgh.
Lead takeaway
Best season by value score: 2019 Postseason
Pittsburgh paired 18.5 primary output with 32.2 efficiency.
Supporting note
2021 Postseason role shape
impact-led usage with 34.4 efficiency.
Supporting note
Career value stayed steady
2021 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: Syracuse
Win with 4 impact plays across the defensive snap sheet. 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
13
Havoc Plays / G
1.4
Efficiency
34.4
Usage
6.9
Consistency
40.4
Best Game by takeover score
Syracuse
Active game
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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. Michigan State: 0. Massachusetts: 4. Tennessee: 1.5. Western Michigan: 2. New Hampshire: 2. Georgia Tech: 0.5. Clemson: 0. Miami: 0. Duke: 2. North Carolina: 1. Virginia: 1. Syracuse: 4. Wake Forest: 0
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. Michigan State: 12 by 50. Massachusetts: 3 by 52.5. Tennessee: 4 by 31.7. Western Michigan: 6 by 45. New Hampshire: 3 by 32.5. Georgia Tech: 2 by 13.3. Clemson: 1 by 4.2. Miami: 4 by 16.7. Duke: 10 by 61.7. North Carolina: 6 by 35. Virginia: 4 by 26.7. Syracuse: 7 by 69.2. Wake Forest: 2 by 8.3
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.
13 games
Featured metric
Havoc Plays
Top game by takeover score
Syracuse
Best efficiency game
69.2 vs Syracuse
| Result | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fri 12/31 | @ Michigan State10+ tackles | L 21-31 | 12 | 7 | — | 0 | 0 | — | 0 | — | — |
| Sun 12/5 | @ Wake Forest | W 45-21 | 2 | 2 | — | 0 | 0 | — | 0 | — | — |
| Sun 11/28 | @ SyracuseSplash game | W 31-14 | 7 | 2 | — | 1.50 | 0.50 | — | 0 | — | — |
| Sat 11/20 | vs Virginia | W 48-38 | 4 | 2 | — | 0 | 0 | 1 | 0 | — | — |
| Fri 11/12 | vs North Carolina | W 30-23 | 6 | 2 | — | 0.50 | 0.50 | — | 0 | — | — |
| Sat 11/6 | @ Duke10+ tackles · Splash game | W 54-29 | 10 | 4 | — | 1.50 | 0.50 | — | 0 | — | — |
| Sat 10/30 | vs Miami | L 34-38 | 4 | 2 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/23 | vs Clemson | W 27-17 | 1 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/2 | @ Georgia Tech | W 52-21 | 2 | 0 | — | 0.50 | 0 | — | 0 | — | — |
| Sat 9/25 | vs New HampshireSplash game | W 77-7 | 3 | 1 | — | 1 | 1 | — | 0 | — | — |
| Sat 9/18 | vs Western MichiganSplash game | L 41-44 | 6 | 2 | — | 1 | 1 | — | 0 | — | — |
| Sat 9/11 | @ Tennessee | W 41-34 | 4 | 2 | — | 0.50 | 0 | — | 0 | — | — |
| Sat 9/4 | vs MassachusettsSplash game | W 51-7 | 3 | 1 | — | 1 | 1 | — | 1 | — | — |
Track team changes, role shifts, and season-to-season movement.
Pittsburgh
2017-2021
Opening stop
Season Value Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2017 Regular Season | Pittsburgh | 0 | 13.6 | 2.7 | — |
| 2018 Postseason | Pittsburgh | 0 | 11.6 | 2.2 | 0 |
| 2018 Regular Season | Pittsburgh | 0 | 11.6 | 2.2 | 0 |
| 2019 Postseason | Pittsburgh | 18.5 | 32.2 | 8.4 | 18.5 |
| 2019 Regular Season | Pittsburgh | 18.5 | 32.2 | 8.4 | 0 |
| 2020 Regular Season | Pittsburgh | 14.5 | 35.1 | 7.3 | -4 |
| 2021 Postseason | Pittsburgh | 18 | 34.4 | 6.9 | 3.5 |
| 2021 Regular Season | Pittsburgh | 18 | 34.4 | 6.9 | 0 |
#1 Featured game
Syracuse
Win with 4 impact plays across the defensive snap sheet.
4
Primary metric
4 disruption/tackle impact with 61.7 takeover score.
#2
Eastern Michigan
4
Primary metric
Win with backfield disruption leading the way.
4 disruption/tackle impact with 61.5 takeover score.
#3
Notre Dame
5
Primary metric
Loss with 5 impact plays across the defensive snap sheet.
5 disruption/tackle impact with 59.8 takeover score.
#4
Miami
4.5
Primary metric
Loss with backfield disruption leading the way.
4.5 disruption/tackle impact with 56.7 takeover score.
#5
Massachusetts
4
Primary metric
Win with 4 impact plays across the defensive snap sheet.
4 disruption/tackle impact with 54.3 takeover score.
#1 Season by Season Value
2019 Postseason · Pittsburgh
18.5 primary output · 32.2 efficiency · 8.4 usage
46.3
#2
2019 Regular Season · Pittsburgh
46.3
18.5 primary · 32.2 efficiency · 8.4 usage
#3
2021 Postseason · Pittsburgh
44.7
18 primary · 34.4 efficiency · 6.9 usage
2
Impact games
12
Splash games
3
10+ tackle games
Recruit Profile
Class 2016 · Rating 0.8467
South Brunswick · Monmouth Junction, NJ
Career Facts
1
Career teams
8
Seasons tracked
199
Career Tackles
Data Context
Coverage spans 8 tracked seasons, 48 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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