Usage Score
7.4
Player Dossier
2016-2019Tulsa
Diamon Cannon
LB • 6'2" • 230 lbs • Killeen, TX, USA
Ball-hunting defenderSplash play profile
Diamon Cannon shows a ball-hunting defender profile with 23.3 disruption score.
Efficiency
23.3
Consistency
12.1
Season Value
14.2
Career Arc
Value trend by season
Best season by value score: 2017 Regular Season · Tulsa
1616171819
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 5
- Program Path
- Tulsa
- Peak Game
- Peak game by takeover score: East Carolina
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.
Diamon Cannon, LB. Best season Best season by value score: 2017 Regular Season · Tulsa. Diamon Cannon shows a ball-hunting defender profile with 23.3 disruption score.
Player insights
Lead takeaway
Best season by value score: 2017 Regular Season
Tulsa paired 6.5 primary output with 25.9 efficiency.
Supporting note
2019 Regular Season role shape
impact-led usage with 23.3 efficiency.
Supporting note
Career value stayed steady
2019 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: East Carolina
Win with 3 impact plays across the defensive snap sheet. It landed in the 100th 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.
2019 Regular Season · Tulsa
Games
11
Havoc Plays / G
0.8
Efficiency
23.3
Usage
7.4
Consistency
12.1
Best Game by takeover score
East Carolina
Hover a point or expand a game row to keep the active game context visible here.
Active game
Hover over a point
Hover or select a game to keep its context visible here without the page shifting around.
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.
Chronological game order.
Game by game trend chart. Michigan State: 0. San José State: 1. Oklahoma State: 0. Wyoming: 0. SMU: 2. Navy: 0. Cincinnati: 0. Memphis: 2.5. UCF: 0. Houston: 0. East Carolina: 3
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. Michigan State: 5 by 20.8. San José State: 0 by 10. Oklahoma State: 4 by 16.7. Wyoming: 2 by 8.3. SMU: 5 by 40.8. Navy: 2 by 8.3. Cincinnati: 7 by 29.2. Memphis: 4 by 41.7. UCF: 2 by 8.3. Houston: 3 by 12.5. East Carolina: 7 by 59.2
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Wins1 · Games = 4 · +0.4 vs Losses
Losses0.6 · Games = 7 · -0.4 vs Wins
First Half0.5 · Games = 6 · -0.6 vs Second Half
Second Half1.1 · Games = 5 · +0.6 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
11 games
Featured metric
Havoc Plays
Top game by takeover score
East Carolina
Best efficiency game
59.2 vs East Carolina
| Result | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Sat 11/30 | @ East CarolinaSplash game | W 49-24 | 7 | 4 | — | 2 | 0 | — | 1 | — | — |
| Sun 11/24 | vs Houston | L 14-24 | 3 | 2 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/9 | vs UCF | W 34-31 | 2 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/26 | vs Memphis | L 41-42 | 4 | 2 | — | 1.50 | 0 | — | 1 | — | — |
| Sat 10/19 | @ Cincinnati | L 13-24 | 7 | 0 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/12 | vs Navy | L 17-45 | 2 | 0 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/5 | @ SMUSplash game | L 37-43 | 5 | 3 | — | 2 | 0 | — | 0 | — | — |
| Sat 9/21 | vs Wyoming | W 24-21 | 2 | 2 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/14 | vs Oklahoma State | L 21-40 | 4 | 3 | — | 0 | 0 | — | 0 | — | — |
| Sun 9/8 | @ San José State | W 34-16 | 0 | 0 | — | 0 | 0 | — | 1 | — | — |
| Fri 8/30 | @ Michigan State | L 7-28 | 5 | 2 | — | 0 | 0 | — | 0 | — | — |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Tulsa
2016-2019
Opening stop
Season Progression
20162016201720182019
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2016 Postseason | Tulsa | 0.5 | 6 | 1.4 | — |
| 2016 Regular Season | Tulsa | 0.5 | 6 | 1.4 | 0 |
| 2017 Regular Season | Tulsa | 6.5 | 25.9 | 7 | 6 |
| 2018 Regular Season | Tulsa | 7 | 26.1 | 5.9 | 0.5 |
| 2019 Regular Season | Tulsa | 8.5 | 23.3 | 7.4 | 1.5 |
Signature Performances
Top Games
#1 Featured game
East Carolina
Win with 3 impact plays across the defensive snap sheet.
3
Primary metric
3 disruption/tackle impact with 61.3 takeover score.
#2
Louisiana
3
Primary metric
Win with 3 impact plays across the defensive snap sheet.
3 disruption/tackle impact with 56.5 takeover score.
#3
Unknown
3
Primary metric
Game with 3 impact plays across the defensive snap sheet.
3 disruption/tackle impact with 54.8 takeover score.
#4
Memphis
2.5
Primary metric
Loss with 2.5 impact plays across the defensive snap sheet.
2.5 disruption/tackle impact with 51 takeover score.
#5
Texas
2
Primary metric
Loss with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 45.1 takeover score.
Top Seasons
#1 Season by value score
2017 Regular Season · Tulsa
6.5 primary output · 25.9 efficiency · 7 usage
14.4
#2
2019 Regular Season · Tulsa
14.2
8.5 primary · 23.3 efficiency · 7.4 usage
#3
2018 Regular Season · Tulsa
13.2
7 primary · 26.1 efficiency · 5.9 usage
Milestones
1
Impact games
3
Splash games
1
10+ tackle games
Bio, Recruit, and Data Context
Recruit Profile
2★
Class 2015 · Rating 0.7752
Shoemaker · Killeen, TX
- Committed To
- Tulsa
- Commit Date
- Jan 1, 2015
Career Facts
1
Career teams
5
Seasons tracked
158
Career Tackles
Data Context
Coverage spans 5 tracked seasons, 39 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.