Usage Score
30
Player Dossier
2014-2016Notre Dame
QB • 6'4" • Toledo, OH, USA
DeShone Kizer is a dual-threat creator with 30 usage in the latest tracked season.
Usage Score
30
Efficiency
63.7
Consistency
79.3
Season Value
68
Career Arc
Value trend by season
Best season by value score: 2016 Regular Season · Notre Dame
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.
DeShone Kizer, QB. Best season Best season by value score: 2016 Regular Season · Notre Dame. DeShone Kizer is a dual-threat creator with 30 usage in the latest tracked season.
DeShone Kizer played QB for Notre Dame. Across 3 tracked seasons, DeShone Kizer recorded 5,809 passing yards, 992 rushing yards, and 4 receiving yards. His top tracked season came in 2016 with Notre Dame.
Lead takeaway
Best season by value score: 2016 Regular Season
Notre Dame paired 3,397 primary output with 63.7 efficiency.
Supporting note
2016 Regular Season role shape
pass-led usage with 63.7 efficiency.
Supporting note
Career value stayed steady
2016 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: Duke
Loss with balanced pass-rush production and strong creator value. It landed in the 91.7th 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
12
Primary Metric / G
283.1
Efficiency
63.7
Usage
30
Consistency
79.3
Best Game by takeover score
USC
Active game
Hover over a point
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. Texas: 292. Nevada: 191. Michigan State: 358. Duke: 441. Syracuse: 472. NC State: 69. Stanford: 237. Miami: 294. Navy: 275. Army: 281. Virginia Tech: 304. USC: 183
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. Texas: 37 by 74.1. Nevada: 28 by 67.1. Michigan State: 46 by 59.1. Duke: 48 by 72.3. Syracuse: 44 by 63.8. NC State: 41 by 36.6. Stanford: 37 by 62. Miami: 46 by 65.6. Navy: 36 by 74.2. Army: 35 by 77.2. Virginia Tech: 49 by 62.7. USC: 43 by 49.5
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.
12 games
Featured metric
Total Offense
Top game by takeover score
Duke
Best efficiency game
77.2 vs Army
| Result | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sat 11/26 | @ USC3+ TD | L 27-45 | 17 | 32 | 220 | 53.1 | 2 | 1 | 49.5 | 11 | -37 | -3.40 | 1 | 13 |
| Sat 11/19 | vs Virginia TechDual-threat | L 31-34 | 16 | 33 | 235 | 48.5 | 2 | 0 | 62.7 | 16 | 69 | 4.30 | 0 | 12 |
| Sat 11/12 | vs Army3+ TD · Dual-threat | W 44-6 | 17 | 28 | 209 | 60.7 | 3 | 1 | 77.2 | 7 | 72 | 10.30 | 0 | 27 |
| Sat 11/5 | @ Navy3+ TD · Dual-threat | L 27-28 | 19 | 27 | 223 | 70.4 | 3 | 0 | 74.2 | 9 | 52 | 5.80 | 0 | 18 |
| Sat 10/29 | vs Miami | W 30-27 | 25 | 38 | 263 | 65.8 | 2 | 0 | 65.6 | 8 | 31 | 3.90 | 0 | 8 |
| Sat 10/15 | vs StanfordDual-threat | L 10-17 | 14 | 26 | 154 | 53.8 | 0 | 2 | 62 | 11 | 83 | 7.50 | 1 | 49 |
| Sat 10/8 | @ NC State | L 3-10 | 9 | 26 | 54 | 34.6 | 0 | 1 | 36.6 | 15 | 15 | 1 | 0 | 7 |
| Sat 10/1 | @ Syracuse300-yard game · 3+ TD | W 50-33 | 23 | 35 | 471 | 65.7 | 3 | 1 | 63.8 | 9 | 1 | 0.10 | 1 | 8 |
| Sat 9/24 | vs Duke300-yard game · 3+ TD | L 35-38 | 22 | 37 | 381 | 59.5 | 2 | 1 | 72.3 | 11 | 60 | 5.50 | 1 | 23 |
| Sat 9/17 | vs Michigan State300-yard game · 3+ TD | L 28-36 | 20 | 37 | 344 | 54.1 | 2 | 1 | 59.1 | 9 | 14 | 1.60 | 2 | 14 |
| Sat 9/10 | vs Nevada3+ TD | W 39-10 | 15 | 18 | 156 | 83.3 | 2 | 1 | 67.1 | 10 | 35 | 3.50 | 1 | 6 |
| Sun 9/4 | @ Texas3+ TD · Dual-threat | L 47-50 | 15 | 24 | 215 | 62.5 | 5 | 0 | 74.1 | 13 | 77 | 5.90 | 1 | 29 |
Track team changes, role shifts, and season-to-season movement.
Notre Dame
2014-2016
Opening stop
Season Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2014 Regular Season | Notre Dame | 0 | — | — | — |
| 2015 Postseason | Notre Dame | 3,404 | 62.6 | 30.2 | 3,404 |
| 2015 Regular Season | Notre Dame | 3,404 | 62.6 | 30.2 | 0 |
| 2016 Regular Season | Notre Dame | 3,397 | 63.7 | 30 | -7 |
#1 Featured game
Temple
Win shaped by high passing volume and turnover pressure.
442
Primary metric
442 total offense with 73.7 efficiency.
#2
Stanford
362
Primary metric
Loss with balanced pass-rush production and strong creator value.
362 total offense with 77.5 efficiency.
#3
Duke
441
Primary metric
Loss with balanced pass-rush production and strong creator value.
441 total offense with 72.3 efficiency.
#4
Clemson
376
Primary metric
Loss with balanced pass-rush production and strong creator value.
376 total offense with 65.5 efficiency.
#5
Syracuse
472
Primary metric
Win with 472 yards of offense and 63.8 efficiency.
472 total offense with 63.8 efficiency.
#1 Season by value score
2016 Regular Season · Notre Dame
3,397 primary output · 63.7 efficiency · 30 usage
68
#2
2015 Postseason · Notre Dame
67.4
3,404 primary · 62.6 efficiency · 30.2 usage
#3
2015 Regular Season · Notre Dame
67.4
3,404 primary · 62.6 efficiency · 30.2 usage
16
250+ passing yards
9
300+ total offense
1
3+ takeover TD games
17
Above avg efficiency
Recruit Profile
Class 2014 · Rating 0.9105
Central Catholic · Toledo, OH
Career Facts
1
Career teams
4
Seasons tracked
6,801
Career Total Offense
Data Context
Coverage spans 4 tracked seasons, 25 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.