Usage Score
2.3
Player Dossier
2022-2025Tulsa
QB • 5'10" • 200 lbs • Tulsa, OK, USA
Stephen Kittleman is a balanced quarterback profile with 2.3 usage in the latest tracked season.
Usage Score
2.3
Efficiency
28.1
Consistency
20.5
Season Value
21.6
Career Arc
Value trend by season
Best season by Season Value: 2024 Regular Season · Tulsa
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.
Stephen Kittleman, QB. Best season Best season by Season Value: 2024 Regular Season · Tulsa. Stephen Kittleman is a balanced quarterback profile with 2.3 usage in the latest tracked season.
Stephen Kittleman played QB for Tulsa. Across 4 tracked seasons, Stephen Kittleman recorded 69 passing yards, 15 rushing yards, and 2 touchdowns. His top tracked season came in 2024 with Tulsa.
Lead takeaway
Best season by value score: 2024 Regular Season
Tulsa paired 62 primary output with 77.8 efficiency.
Supporting note
2025 Regular Season role shape
pass-led usage with 28.1 efficiency.
Supporting note
Career value cooled off
2025 Regular Season fell back from the prior stop by season value score.
Supporting note
Peak game by takeover score: Abilene Christian
Win with 18 yards of offense and 72.2 efficiency. It landed in the 100th 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
4
Primary Metric / G
5.5
Efficiency
28.1
Usage
2.3
Consistency
20.5
Best Game by takeover score
Abilene Christian
Active game
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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. Abilene Christian: 18. East Carolina: 1. Oregon State: 3. UAB: 0
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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Volume on the x-axis, quality on the y-axis.
Volume versus efficiency scatter chart. Abilene Christian: 3 by 72.2. East Carolina: 1 by 10. Oregon State: 1 by 30. UAB: 1 by 0
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.
4 games
Featured metric
Total Offense
Top game by takeover score
Abilene Christian
Best efficiency game
72.2 vs Abilene Christian
Track team changes, role shifts, and season-to-season movement.
Tulsa
2022-2025
Opening stop
Season Value Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2022 Regular Season | Tulsa | 0 | — | — | — |
| 2023 Regular Season | Tulsa | 0 | — | — | 0 |
| 2024 Regular Season | Tulsa | 62 | 77.8 | 6.3 | 62 |
| 2025 Regular Season | Tulsa | 22 | 28.1 | 2.3 | -40 |
#1 Featured game
Abilene Christian
Win with 18 yards of offense and 72.2 efficiency.
18
Primary metric
18 total offense with 72.2 efficiency.
#2
Oklahoma State
64
Primary metric
Loss with 64 yards of offense and 88.8 efficiency.
64 total offense with 88.8 efficiency.
#3
Florida Atlantic
-2
Primary metric
Loss with -2 yards of offense and 66.7 efficiency.
-2 total offense with 66.7 efficiency.
#4
Oregon State
3
Primary metric
Win with 3 yards of offense and 30 efficiency.
3 total offense with 30 efficiency.
#5
East Carolina
1
Primary metric
Loss with 1 yards of offense and 10 efficiency.
1 total offense with 10 efficiency.
#1 Season by Season Value
2024 Regular Season · Tulsa
62 primary output · 77.8 efficiency · 6.3 usage
58.5
#2
2025 Regular Season · Tulsa
21.6
22 primary · 28.1 efficiency · 2.3 usage
#3
2022 Regular Season · Tulsa
—
0 primary · — efficiency · — usage
0
250+ passing yards
0
300+ total offense
0
3+ TD games
3
Above avg efficiency
Career Facts
1
Career teams
4
Seasons tracked
84
Career Total Offense
Data Context
Coverage spans 4 tracked seasons, 6 games, and SP opponent-strength context when available. Derived metrics fall back to raw production when share or rating context is missing.
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