Usage Score
3
Player Dossier
2016-2020Rutgers
Michael Dwumfour
DL • 6'1" • 296 lbs • Scotch Plains, NJ, USA
Ball-hunting defenderSplash play profile
Michael Dwumfour shows a ball-hunting defender profile with 13.7 disruption score.
Efficiency
13.7
Consistency
35.7
Season Value
17.7
Career Arc
Value trend by season
Best season by value score: 2016 Regular Season · Michigan
161718181920
Snapshot
- Career Teams
- 2
- Seasons Tracked
- 6
- Program Path
- Michigan • Rutgers
- Peak Game
- Peak game by takeover score: Michigan State
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.
Michael Dwumfour, DL. Best season Best season by value score: 2016 Regular Season · Michigan. Michael Dwumfour shows a ball-hunting defender profile with 13.7 disruption score.
Michael Dwumfour played DL for Michigan and Rutgers. Across 5 tracked seasons, Michael Dwumfour recorded 53 tackles. His top tracked season came in 2018 with Michigan.
Player insights
Lead takeaway
Best season by value score: 2016 Regular Season
Michigan paired 1 primary output with 18.3 efficiency.
Supporting note
2020 Regular Season role shape
impact-led usage with 13.7 efficiency.
Supporting note
Career value cooled off
2020 Regular Season fell back from the prior stop by season value score.
Supporting note
Multi-stop career journey
Production spans 2 team stops, with role shifts visible across Michigan, Rutgers.
Supporting note
Peak game by takeover score: Penn State
Loss 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.
2020 Regular Season · Rutgers
Games
8
Havoc Plays / G
0.4
Efficiency
13.7
Usage
3
Consistency
35.7
Best Game by takeover score
Maryland
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. Michigan State: 1. Indiana: 0. Ohio State: 0. Illinois: 0.5. Michigan: 0. Purdue: 0. Penn State: 1. Maryland: 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. Michigan State: 5 by 30.8. Indiana: 1 by 4.2. Ohio State: 2 by 8.3. Illinois: 1 by 9.2. Michigan: 2 by 8.3. Purdue: 2 by 8.3. Penn State: 5 by 30.8. Maryland: 0 by 10
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Wins0.7 · Games = 3 · +0.4 vs Losses
Losses0.3 · Games = 5 · -0.4 vs Wins
First Half0.4 · Games = 4 · -0.1 vs Second Half
Second Half0.5 · Games = 4 · +0.1 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
8 games
Featured metric
Havoc Plays
Top game by takeover score
Penn State
Best efficiency game
30.8 vs Penn State
| Result | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Sat 12/12 | @ Maryland | W 27-24 | 0 | 0 | — | 0 | 0 | — | 1 | — | — |
| Sat 12/5 | vs Penn State | L 7-23 | 5 | 1 | — | 0.50 | 0.50 | — | 0 | — | — |
| Sat 11/28 | @ Purdue | W 37-30 | 2 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sun 11/22 | vs Michigan | L 42-48 | 2 | 0 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/14 | vs Illinois | L 20-23 | 1 | 0 | — | 0.50 | 0 | — | 0 | — | — |
| Sun 11/8 | @ Ohio State | L 27-49 | 2 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/31 | vs Indiana | L 21-37 | 1 | 0 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/24 | @ Michigan State | W 38-27 | 5 | 2 | — | 1 | 0 | — | 0 | — | — |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Michigan
2016-2019
Opening stop
- 2
Rutgers
2020
Final stop
Season Progression
201620172018201820192020
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2016 Regular Season | Michigan | 1 | 18.3 | 5 | — |
| 2017 Regular Season | Michigan | 1.5 | 13.8 | 4.4 | 0.5 |
| 2018 Postseason | Michigan | 8 | 15.2 | 5.5 | 6.5 |
| 2018 Regular Season | Michigan | 8 | 15.2 | 5.5 | 0 |
| 2019 Regular Season | Michigan | 4 | 11.1 | 3.1 | -4 |
| 2020 Regular Season | Rutgers | 3.5 | 13.7 | 3 | -0.5 |
Signature Performances
Top Games
#1 Featured game
Michigan State
Win with 2 impact plays across the defensive snap sheet.
2
Primary metric
2 disruption/tackle impact with 46.6 takeover score.
#2
Maryland
2
Primary metric
Win with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 46.5 takeover score.
#3
Penn State
1
Primary metric
Loss with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 46.3 takeover score.
#4
Michigan State
1
Primary metric
Win with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 45.6 takeover score.
#5
Northwestern
2
Primary metric
Win with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 45.4 takeover score.
Top Seasons
#1 Season by value score
2016 Regular Season · Michigan
1 primary output · 18.3 efficiency · 5 usage
32.1
#2
2017 Regular Season · Michigan
24.5
1.5 primary · 13.8 efficiency · 4.4 usage
#3
2019 Regular Season · Michigan
23
4 primary · 11.1 efficiency · 3.1 usage
Milestones
0
Impact games
0
Splash games
0
10+ tackle games
Bio, Recruit, and Data Context
Recruit Profile
3★
Class 2016 · Rating 0.8483
De Paul Catholic · Wayne, NJ
- Committed To
- Michigan
- Commit Date
- Jan 1, 2016
Career Facts
2
Career teams
6
Seasons tracked
53
Career Tackles
Data Context
Coverage spans 6 tracked seasons, 29 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.