Usage Score
38.4
Player Profile
Malcolm Perry
QB • 5'9" • 190 lbs • Clarksville, TN, USA
Dual-threat creatorEfficient finisher
Malcolm Perry is a dual-threat creator with 38.4 usage in the latest tracked season.
Efficiency
71.3
Consistency
80.9
Season Value
72.7
Career Arc
Season-by-season value trend
Best season by value score: 2019 Postseason · Navy
16161717181919
Quick Facts
- Career Teams
- 1
- Seasons Tracked
- 7
- Primary stop by seasons
- Navy
- Best season by value score
- Best season by value score: 2019 Postseason · Navy
- Peak game by takeover score
- Peak game by takeover score: Army
Malcolm Perry, QB. Best season Best season by value score: 2019 Postseason · Navy. Malcolm Perry is a dual-threat creator with 38.4 usage in the latest tracked season.
Player insights
Lead takeaway
Best season by value score: 2019 Postseason
Navy paired 3,101 primary output with 71.3 efficiency.
Supporting note
2019 Postseason role shape
pass-led usage with 71.3 efficiency.
Supporting note
Career value stayed steady
2019 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: Army
Win with balanced pass-rush production and strong creator value. It landed in the 84.6th percentile of the selected season.
Season Explorer
Understand the selected season before dropping into the full game log.
2019 Postseason · Navy
Games
13
Primary Metric / G
238.5
Efficiency
71.3
Usage
38.4
Consistency
80.9
Best Game by takeover score
Kansas State
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. Kansas State: 270. Unknown: 131. East Carolina: 307. Memphis: 173. Air Force: 255. Tulsa: 227. South Florida: 188. Tulane: 210. UConn: 273. Notre Dame: 153. SMU: 357. Houston: 253. Army: 304
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. Kansas State: 35 by 78.8. Unknown: 19 by 72.5. East Carolina: 31 by 84.1. Memphis: 35 by 66.2. Air Force: 30 by 79.9. Tulsa: 24 by 67.2. South Florida: 25 by 21.4. Tulane: 29 by 54.2. UConn: 17 by 87. Notre Dame: 32 by 58.1. SMU: 53 by 75.3. Houston: 22 by 82.8. Army: 29 by 100
Split Comparison
Wins264.4 · n=10 · +101.4 vs Losses
Losses163 · n=2 · -101.4 vs Wins
First Half221.6 · n=7 · -36.8 vs Second Half
Second Half258.3 · n=6 · +36.8 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
13 games
Featured metric
Total Offense
Top game by takeover score
Army
Best efficiency game
100 vs Army
| Result | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tue 12/31 | @ Kansas StateDual-threat | W 20-17 | 5 | 7 | 57 | 71.4 | 1 | 0 | 78.8 | 28 | 213 | 7.60 | 0 | 59 |
| Sat 12/14 | vs ArmyDual-threat | W 31-7 | — | — | — | — | — | — | 100 | 29 | 304 | 10.50 | 2 | 55 |
| Sun 12/1 | @ HoustonDual-threat | W 56-41 | 2 | 4 | 107 | 50.0 | 0 | 0 | 82.8 | 18 | 146 | 8.10 | 1 | 54 |
| Sat 11/23 | vs SMU3+ TD · Dual-threat | W 35-28 | 9 | 15 | 162 | 60.0 | 1 | 0 | 75.3 | 38 | 195 | 5.10 | 2 | 70 |
| Sat 11/16 | @ Notre DameDual-threat | L 20-52 | 3 | 7 | 36 | 42.9 | 0 | 0 | 58.1 | 25 | 117 | 4.70 | 0 | 46 |
| Sat 11/2 | @ UConn3+ TD · Dual-threat | W 56-10 | 3 | 6 | 165 | 50.0 | 1 | 0 | 87 | 11 | 108 | 9.80 | 2 | 58 |
| Sat 10/26 | vs TulaneDual-threat | W 41-38 | 2 | 7 | 68 | 28.6 | 1 | 1 | 54.2 | 22 | 142 | 6.50 | 0 | 38 |
| Sat 10/19 | vs South FloridaDual-threat | W 35-3 | 0 | 3 | 0 | 0.0 | 0 | 2 | 21.4 | 22 | 188 | 8.50 | 2 | 67 |
| Sat 10/12 | @ Tulsa3+ TD · Dual-threat | W 45-17 | 2 | 4 | 9 | 50.0 | 0 | 0 | 67.2 | 20 | 218 | 10.90 | 3 | 47 |
| Sat 10/5 | vs Air ForceDual-threat | W 34-25 | 5 | 7 | 144 | 71.4 | 0 | 0 | 79.9 | 23 | 111 | 4.80 | 2 | 20 |
| Fri 9/27 | @ Memphis3+ TD · Dual-threat | L 23-35 | 6 | 10 | 82 | 60.0 | 1 | 0 | 66.2 | 25 | 91 | 3.60 | 2 | 27 |
| Sat 9/14 | vs East Carolina3+ TD · Dual-threat | W 42-10 | 5 | 7 | 151 | 71.4 | 2 | 0 | 84.1 | 24 | 156 | 6.50 | 4 | 30 |
| Sat 8/31 | vs Unknown | — | 6 | 9 | 103 | 66.7 | 0 | 0 | 72.5 | 10 | 28 | 2.80 | 1 | 12 |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Navy
2016-2019
Opening stop
Season Progression
2016201620172017201820192019
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2016 Postseason | Navy | 73 | 81 | 5.8 | — |
| 2016 Regular Season | Navy | 73 | 81 | 5.8 | 0 |
| 2017 Postseason | Navy | 1,187 | 68.3 | 18.7 | 1,114 |
| 2017 Regular Season | Navy | 1,187 | 68.3 | 18.7 | 0 |
| 2018 Regular Season | Navy | 1,309 | 67.8 | 23.5 | 122 |
| 2019 Postseason | Navy | 3,101 | 71.3 | 38.4 | 1,792 |
| 2019 Regular Season | Navy | 3,101 | 71.3 | 38.4 | 0 |
Signature Performances
Top Games
#1 Featured game
Army
Win with balanced pass-rush production and strong creator value.
304
Primary metric
304 total offense with 100 efficiency.
#2
Army
250
Primary metric
Loss with balanced pass-rush production and strong creator value.
250 total offense with 83.3 efficiency.
#3
SMU
357
Primary metric
Win with balanced pass-rush production and strong creator value.
357 total offense with 75.3 efficiency.
#4
East Carolina
307
Primary metric
Win with balanced pass-rush production and strong creator value.
307 total offense with 84.1 efficiency.
#5
Kansas State
270
Primary metric
Win with balanced pass-rush production and strong creator value.
270 total offense with 78.8 efficiency.
Top Seasons
#1 Season by value score
2019 Postseason · Navy
3,101 primary output · 71.3 efficiency · 38.4 usage
72.7
#2
2019 Regular Season · Navy
72.7
3,101 primary · 71.3 efficiency · 38.4 usage
#3
2018 Regular Season · Navy
46.8
1,309 primary · 67.8 efficiency · 23.5 usage
Milestones
10
250+ passing yards
3
300+ total offense
3
3+ takeover TD games
28
Above avg efficiency
Bio, Recruit, and Data Context
Career Facts
1
Career teams
7
Seasons tracked
5,670
Career Total Offense
Data Context
Coverage spans 7 tracked seasons, 41 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.
Career Metric Focus
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