Usage Score
12.6
Player Dossier
2018-2022Purdue
Aidan O'Connell
QB • 6'3" • 210 lbs • Lincolnshire, IL, USA
Balanced quarterback profileVolume operator
Aidan O'Connell is a balanced quarterback profile with 12.6 usage in the latest tracked season.
Efficiency
60.4
Consistency
78.7
Season Value
62.7
Career Arc
Value trend by season
Best season by value score: 2022 Regular Season · Purdue
181920212122
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 6
- Program Path
- Purdue
- Peak Game
- Peak game by takeover score: Ohio 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.
Aidan O'Connell, QB. Best season Best season by value score: 2022 Regular Season · Purdue. Aidan O'Connell is a balanced quarterback profile with 12.6 usage in the latest tracked season.
Player insights
Lead takeaway
Best season by value score: 2022 Regular Season
Purdue paired 3,400 primary output with 60.4 efficiency.
Supporting note
2022 Regular Season role shape
pass-led usage with 60.4 efficiency.
Supporting note
Career value stayed steady
2022 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: Unknown
Game with 211 yards of offense and 94 efficiency. It landed in the 33.3th 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.
2022 Regular Season · Purdue
Games
12
Primary Metric / G
283.3
Efficiency
60.4
Usage
12.6
Consistency
78.7
Best Game by takeover score
Michigan
Hover a point or expand a game row to keep the active game context visible here.
Game-by-Game Trend
123456789101112
Chronological game order.
Game by game trend chart. Penn State: 339. Unknown: 211. Syracuse: 431. Minnesota: 209. Maryland: 335. Nebraska: 394. Wisconsin: 300. Iowa: 142. Illinois: 270. Northwestern: 155. Indiana: 284. Michigan: 330
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. Penn State: 60 by 50.3. Unknown: 19 by 94. Syracuse: 56 by 74.5. Minnesota: 44 by 53.5. Maryland: 50 by 59.1. Nebraska: 56 by 58.2. Wisconsin: 50 by 49.8. Iowa: 47 by 40.1. Illinois: 42 by 75.5. Northwestern: 29 by 54.3. Indiana: 34 by 61.4. Michigan: 53 by 54
Split Comparison
Wins274.5 · n=6 · -33.9 vs Losses
Losses308.4 · n=5 · +33.9 vs Wins
First Half319.8 · n=6 · +73.0 vs Second Half
Second Half246.8 · n=6 · -73.0 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
12 games
Featured metric
Total Offense
Top game by takeover score
Unknown
Best efficiency game
94 vs Unknown
| Result | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sun 12/4 | @ Michigan300-yard game | L 22-43 | 32 | 47 | 366 | 68.1 | 0 | 2 | 54 | 6 | -36 | -6 | 0 | 0 |
| Sat 11/26 | @ Indiana | W 30-16 | 18 | 29 | 290 | 62.1 | 2 | 0 | 61.4 | 5 | -6 | -1.20 | 0 | 10 |
| Sat 11/19 | vs Northwestern | W 17-9 | 16 | 25 | 159 | 64.0 | 2 | 0 | 54.3 | 4 | -4 | -1 | 0 | 3 |
| Sat 11/12 | @ Illinois3+ TD | W 31-24 | 25 | 40 | 237 | 62.5 | 3 | 1 | 75.5 | 2 | 33 | 16.50 | 0 | 24 |
| Sat 11/5 | vs Iowa | L 3-24 | 20 | 43 | 168 | 46.5 | 0 | 2 | 40.1 | 4 | -26 | -6.50 | 0 | 3 |
| Sat 10/22 | @ Wisconsin300-yard game | L 24-35 | 31 | 46 | 320 | 67.4 | 1 | 3 | 49.8 | 4 | -20 | -5 | 1 | 1 |
| Sat 10/15 | vs Nebraska300-yard game · 3+ TD | W 43-37 | 35 | 54 | 391 | 64.8 | 4 | 1 | 58.2 | 2 | 3 | 1.50 | 0 | 3 |
| Sat 10/8 | @ Maryland300-yard game | W 31-29 | 30 | 41 | 360 | 73.2 | 2 | 1 | 59.1 | 9 | -25 | -2.80 | 0 | 3 |
| Sat 10/1 | @ Minnesota | W 20-10 | 27 | 40 | 199 | 67.5 | 0 | 2 | 53.5 | 4 | 10 | 2.50 | 0 | 9 |
| Sat 9/17 | @ Syracuse300-yard game · 3+ TD | L 29-32 | 39 | 55 | 424 | 70.9 | 3 | 1 | 74.5 | 1 | 7 | 7 | 0 | 7 |
| Sat 9/10 | vs Unknown3+ TD | — | 17 | 19 | 211 | 89.5 | 4 | 0 | 94 | — | — | — | — | — |
| Fri 9/2 | vs Penn State300-yard game | L 31-35 | 29 | 58 | 356 | 50.0 | 1 | 0 | 50.3 | 2 | -17 | -8.50 | 0 | 0 |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Purdue
2018-2022
Opening stop
Season Progression
201820192020202120212022
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2018 Regular Season | Purdue | 0 | — | — | — |
| 2019 Regular Season | Purdue | 1,090 | 59.5 | 12.6 | 1,090 |
| 2020 Regular Season | Purdue | 852 | 55.2 | 17.9 | -238 |
| 2021 Postseason | Purdue | 3,592 | 62.1 | 8.5 | 2,740 |
| 2021 Regular Season | Purdue | 3,592 | 62.1 | 8.5 | 0 |
| 2022 Regular Season | Purdue | 3,400 | 60.4 | 12.6 | -192 |
Signature Performances
Top Games
#1 Featured game
Ohio State
Loss with 390 yards of offense and 79.8 efficiency.
390
Primary metric
390 total offense with 79.8 efficiency.
#2
Unknown
211
Primary metric
Game with 211 yards of offense and 94 efficiency.
211 total offense with 94 efficiency.
#3
Illinois
350
Primary metric
Win with 350 yards of offense and 67.8 efficiency.
350 total offense with 67.8 efficiency.
#4
Syracuse
431
Primary metric
Loss with 431 yards of offense and 74.5 efficiency.
431 total offense with 74.5 efficiency.
#5
Michigan State
523
Primary metric
Win with 523 yards of offense and 64.2 efficiency.
523 total offense with 64.2 efficiency.
Top Seasons
#1 Season by value score
2022 Regular Season · Purdue
3,400 primary output · 60.4 efficiency · 12.6 usage
62.7
#2
2021 Postseason · Purdue
60.1
3,592 primary · 62.1 efficiency · 8.5 usage
#3
2021 Regular Season · Purdue
60.1
3,592 primary · 62.1 efficiency · 8.5 usage
Milestones
20
250+ passing yards
14
300+ total offense
2
3+ takeover TD games
14
Above avg efficiency
Bio, Recruit, and Data Context
Career Facts
1
Career teams
6
Seasons tracked
8,934
Career Total Offense
Data Context
Coverage spans 6 tracked seasons, 33 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.