Usage Score
30.6
Player Dossier
2014-2017Army
QB • 5'11" • 205 lbs • Chicago, IL, USA
Ahmad Bradshaw is a dual-threat creator with 30.6 usage in the latest tracked season.
Usage Score
30.6
Efficiency
60.8
Consistency
74.3
Season Value
66.4
Career Arc
Value trend by season
Best season by Season Value: 2017 Postseason · Army
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.
Ahmad Bradshaw, QB. Best season Best season by Season Value: 2017 Postseason · Army. Ahmad Bradshaw is a dual-threat creator with 30.6 usage in the latest tracked season.
Ahmad Bradshaw played QB for Army. Across 4 tracked seasons, Ahmad Bradshaw recorded 1,386 passing yards, 3,023 rushing yards, and 37 receiving yards. His top tracked season came in 2017 with Army.
Lead takeaway
Best season by value score: 2017 Postseason
Army paired 2,031 primary output with 60.8 efficiency.
Supporting note
2017 Postseason role shape
pass-led usage with 60.8 efficiency.
Supporting note
Career value stayed steady
2017 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: Air Force
Win with balanced pass-rush production and strong creator value. It landed in the 92.3th 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
Primary Metric / G
156.2
Efficiency
60.8
Usage
30.6
Consistency
74.3
Best Game by takeover score
Air Force
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. San Diego State: 186. Fordham: 177. Buffalo: 164. Ohio State: 69. Tulane: 65. UTEP: 173. Rice: 115. Eastern Michigan: 171. Temple: 123. Air Force: 265. Duke: 138. North Texas: 271. Navy: 114
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 volumeLower quality
Volume on the x-axis, quality on the y-axis.
Volume versus efficiency scatter chart. San Diego State: 35 by 51.6. Fordham: 11 by 50. Buffalo: 33 by 50.4. Ohio State: 26 by 44.4. Tulane: 13 by 16.3. UTEP: 16 by 86.1. Rice: 15 by 22.1. Eastern Michigan: 22 by 47.5. Temple: 18 by 74.4. Air Force: 23 by 100. Duke: 21 by 87. North Texas: 30 by 74.7. Navy: 22 by 86.2
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
Total Offense
Top game by takeover score
Air Force
Best efficiency game
100 vs Air Force
| Result | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sat 12/23 | vs San Diego StateDual-threat | W 42-35 | 1 | 3 | 6 | 33.3 | 0 | 0 | 51.6 | 32 | 180 | 5.60 | 2 | 27 |
| Sat 12/9 | @ NavyDual-threat | W 14-13 | 1 | 1 | 20 | 100.0 | 0 | 0 | 86.2 | 21 | 94 | 4.50 | 1 | 21 |
| Sat 11/18 | @ North TexasDual-threat | L 49-52 | 1 | 3 | 27 | 33.3 | 0 | 0 | 74.7 | 27 | 244 | 9 | 2 | 31 |
| Sat 11/11 | vs DukeDual-threat | W 21-16 | 1 | 1 | 42 | 100.0 | 0 | 0 | 87 | 20 | 96 | 4.80 | 1 | 18 |
| Sat 11/4 | @ Air ForceDual-threat | W 21-0 | — | — | — | — | — | — | 100 | 23 | 265 | 11.50 | 1 | 48 |
| Sat 10/21 | vs Temple | W 31-28 | 3 | 5 | 74 | 60.0 | 0 | 0 | 74.4 | 13 | 49 | 3.80 | 0 | 19 |
| Sat 10/14 | vs Eastern MichiganDual-threat | W 28-27 | 0 | 3 | 0 | 0.0 | 0 | 0 | 47.5 | 19 | 171 | 9 | 1 | 69 |
| Sat 10/7 | @ RiceDual-threat | W 49-12 | 0 | 2 | 0 | 0.0 | 0 | 1 | 22.1 | 13 | 115 | 8.80 | 2 | 29 |
| Sat 9/30 | vs UTEPDual-threat | W 35-21 | 3 | 5 | 80 | 60.0 | 1 | 0 | 86.1 | 11 | 93 | 8.50 | 0 | 42 |
| Sat 9/23 | @ TulaneDual-threat | L 17-21 | 0 | 3 | 0 | 0.0 | 0 | 1 | 16.3 | 10 | 65 | 6.50 | 1 | 23 |
| Sat 9/16 | @ Ohio StateDual-threat | L 7-38 | 2 | 7 | 19 | 28.6 | 0 | 0 | 44.4 | 19 | 50 | 2.60 | 0 | 9 |
| Sat 9/9 | vs BuffaloDual-threat | W 21-17 | 2 | 8 | 17 | 25.0 | 0 | 0 | 50.4 | 25 | 147 | 5.90 | 1 | 52 |
| Fri 9/1 | vs FordhamDual-threat | W 64-6 | 0 | 2 | 0 | 0.0 | 0 | 0 | 50 | 9 | 177 | 19.70 | 2 | 71 |
Track team changes, role shifts, and season-to-season movement.
Army
2014-2017
Opening stop
Season Value Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2014 Regular Season | Army | 0 | — | — | — |
| 2015 Regular Season | Army | 897 | 62.8 | 34.8 | 897 |
| 2016 Postseason | Army | 1,481 | 61 | 24.8 | 584 |
| 2016 Regular Season | Army | 1,481 | 61 | 24.8 | 0 |
| 2017 Postseason | Army | 2,031 | 60.8 | 30.6 | 550 |
| 2017 Regular Season | Army | 2,031 | 60.8 | 30.6 | 0 |
#1 Featured game
Air Force
Win with balanced pass-rush production and strong creator value.
265
Primary metric
265 total offense with 100 efficiency.
#2
North Texas
271
Primary metric
Loss with balanced pass-rush production and strong creator value.
271 total offense with 74.7 efficiency.
#3
Fordham
250
Primary metric
Loss with balanced pass-rush production and strong creator value.
250 total offense with 62.4 efficiency.
#4
Wake Forest
210
Primary metric
Win with balanced pass-rush production and strong creator value.
210 total offense with 62.3 efficiency.
#5
North Texas
182
Primary metric
Win with balanced pass-rush production and strong creator value.
182 total offense with 84.6 efficiency.
#1 Season by Season Value
2017 Postseason · Army
2,031 primary output · 60.8 efficiency · 30.6 usage
66.4
#2
2017 Regular Season · Army
66.4
2,031 primary · 60.8 efficiency · 30.6 usage
#3
2016 Postseason · Army
58.3
1,481 primary · 61 efficiency · 24.8 usage
0
250+ passing yards
0
300+ total offense
2
3+ TD games
17
Above avg efficiency
Career Facts
1
Career teams
6
Seasons tracked
4,409
Career Total Offense
Data Context
Coverage spans 6 tracked seasons, 32 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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