Player Dossier

2014-2017

Army

Ahmad Bradshaw

QB • 5'11" • 205 lbs • Chicago, IL, USA

Dual-threat creatorVolume operator

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

141516161717

Snapshot

Career Teams
1
Seasons Tracked
6
Program Path
Army
Peak Game
Peak game by takeover score: Air Force

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.

Player insights

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

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.

2017 Postseason · Army

Games

13

Primary Metric / G

156.2

Efficiency

60.8

Usage

30.6

Consistency

74.3

Best Game by takeover score

Air Force

Hover a point or expand a game row to keep the active game context visible here.

Active game

Hover over a point

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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.

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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

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. 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

Split Comparison

Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.

Wins162.6 · Games = 10 · +27.6 vs Losses
Losses135 · Games = 3 · -27.6 vs Wins

Game Log

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 12/23vs San Diego StateDual-threatW 42-3513633.30051.6321805.60227
Sat 12/9@ NavyDual-threatW 14-131120100.00086.221944.50121
Sat 11/18@ North TexasDual-threatL 49-52132733.30074.7272449231
Sat 11/11vs DukeDual-threatW 21-161142100.0008720964.80118
Sat 11/4@ Air ForceDual-threatW 21-01002326511.50148
Sat 10/21vs TempleW 31-28357460.00074.413493.80019
Sat 10/14vs Eastern MichiganDual-threatW 28-270300.00047.5191719169
Sat 10/7@ RiceDual-threatW 49-120200.00122.1131158.80229
Sat 9/30vs UTEPDual-threatW 35-21358060.01086.111938.50042
Sat 9/23@ TulaneDual-threatL 17-210300.00116.310656.50123
Sat 9/16@ Ohio StateDual-threatL 7-38271928.60044.419502.6009
Sat 9/9vs BuffaloDual-threatW 21-17281725.00050.4251475.90152
Fri 9/1vs FordhamDual-threatW 64-60200.00050917719.70271

Career Arc

Track team changes, role shifts, and season-to-season movement.

  1. 1

    Army

    2014-2017

    Opening stop

Season Value Progression

201420152016201620172017
SeasonTeamPrimaryEfficiencyUsageDelta
2014 Regular SeasonArmy0
2015 Regular SeasonArmy89762.834.8897
2016 PostseasonArmy1,4816124.8584
2016 Regular SeasonArmy1,4816124.80
2017 PostseasonArmy2,03160.830.6550
2017 Regular SeasonArmy2,03160.830.60

Signature Performances

Top Games

#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.

Top Seasons

#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

Milestones

0

250+ passing yards

0

300+ total offense

2

3+ TD games

17

Above avg efficiency

Bio, Recruit, and Data Context

Recruit context is not available for this player in the current dataset.

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.

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