Usage Score
7.9
Player Dossier
2022-2025Syracuse
Devin Grant
DB • 6'4" • 205 lbs • Elmont, NY, USA
Ball-hunting defenderSplash play profile
Devin Grant shows a ball-hunting defender profile with 20.6 disruption score.
Efficiency
20.6
Consistency
11.1
Season Value
11.7
Career Arc
Value trend by season
Best season by value score: 2022 Regular Season · Buffalo
22232425
Snapshot
- Career Teams
- 2
- Seasons Tracked
- 4
- Program Path
- Buffalo • Syracuse
- Peak Game
- Peak game by takeover score: Clemson
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.
Devin Grant, DB. Best season Best season by value score: 2022 Regular Season · Buffalo. Devin Grant shows a ball-hunting defender profile with 20.6 disruption score.
Devin Grant played DB for Buffalo and Syracuse. Across 4 tracked seasons, Devin Grant recorded 163 tackles and 4 touchdowns. His top tracked season came in 2023 with Buffalo.
Player insights
Lead takeaway
Best season by value score: 2022 Regular Season
Buffalo paired 0 primary output with 4.2 efficiency.
Supporting note
2025 Regular Season role shape
impact-led usage with 20.6 efficiency.
Supporting note
Career value cooled off
2025 Regular Season fell back from the prior stop by season value score.
Supporting note
Multi-stop career journey
Production spans 2 team stops, with role shifts visible across Buffalo, Syracuse.
Supporting note
Peak game by takeover score: Clemson
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.
2025 Regular Season · Syracuse
Games
9
Havoc Plays / G
0.7
Efficiency
20.6
Usage
7.9
Consistency
11.1
Best Game by takeover score
Boston College
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. Tennessee: 0. Clemson: 3. Duke: 0. SMU: 0. Pittsburgh: 2. Georgia Tech: 0. North Carolina: 0. Miami: 1. Boston College: 0
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. Tennessee: 4 by 16.7. Clemson: 10 by 71.7. Duke: 2 by 8.3. SMU: 1 by 4.2. Pittsburgh: 3 by 32.5. Georgia Tech: 4 by 16.7. North Carolina: 5 by 20.8. Miami: 0 by 10. Boston College: 1 by 4.2
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Losses0.4 · Games = 8
First Half1 · Games = 5 · +0.8 vs Second Half
Second Half0.3 · Games = 4 · -0.8 vs First Half
All Games0.7 · Games = 9
Game Log
Dense stat lines with inline explanations and season-linked highlights.
9 games
Featured metric
Havoc Plays
Top game by takeover score
Clemson
Best efficiency game
71.7 vs Clemson
| Result | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Sat 11/29 | vs Boston College | L 12-34 | 1 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/8 | @ Miami | L 10-38 | 0 | 0 | — | 0 | 0 | — | 1 | — | — |
| Fri 10/31 | vs North Carolina | L 10-27 | 5 | 3 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/25 | @ Georgia Tech | L 16-41 | 4 | 2 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/18 | vs Pittsburgh | L 13-30 | 3 | 3 | — | 1 | 1 | — | 0 | — | — |
| Sat 10/4 | @ SMU | L 18-31 | 1 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/27 | vs Duke | L 3-38 | 2 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/20 | @ Clemson10+ tackles · Splash game | W 34-21 | 10 | 8 | — | 2 | 0 | — | 1 | — | — |
| Sat 8/30 | @ Tennessee | L 26-45 | 4 | 3 | — | 0 | 0 | — | 0 | — | — |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Buffalo
2022-2023
Opening stop
- 2
Syracuse
2024-2025
Final stop
Season Progression
2022202320242025
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2022 Regular Season | Buffalo | 0 | 4.2 | 0.8 | — |
| 2023 Regular Season | Buffalo | 9.5 | 38.2 | 11.6 | 9.5 |
| 2024 Regular Season | Syracuse | 14 | 29.4 | 10 | 4.5 |
| 2025 Regular Season | Syracuse | 6 | 20.6 | 7.9 | -8 |
Signature Performances
Top Games
#1 Featured game
Clemson
Win with 3 impact plays across the defensive snap sheet.
3
Primary metric
3 disruption/tackle impact with 68 takeover score.
#2
Central Michigan
3
Primary metric
Win with 3 impact plays across the defensive snap sheet.
3 disruption/tackle impact with 62.7 takeover score.
#3
Unknown
4
Primary metric
Game with 4 impact plays across the defensive snap sheet.
4 disruption/tackle impact with 56.1 takeover score.
#4
Unknown
2
Primary metric
Game with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 42 takeover score.
#5
Pittsburgh
2
Primary metric
Loss with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 35.7 takeover score.
Top Seasons
#1 Season by value score
2022 Regular Season · Buffalo
0 primary output · 4.2 efficiency · 0.8 usage
35
#2
2023 Regular Season · Buffalo
28.2
9.5 primary · 38.2 efficiency · 11.6 usage
#3
2024 Regular Season · Syracuse
26.1
14 primary · 29.4 efficiency · 10 usage
Milestones
2
Impact games
4
Splash games
5
10+ tackle games
Bio, Recruit, and Data Context
Recruit Profile
3★
Class 2022 · Rating 0.8504
Holy Cross · Flushing, NY
- Committed To
- Buffalo
- Commit Date
- Jan 1, 2022
Career Facts
2
Career teams
4
Seasons tracked
163
Career Tackles
Data Context
Coverage spans 4 tracked seasons, 36 games, and SP opponent-strength context when available. Derived metrics fall back to raw production when share or rating context is missing.