Usage Score
12.9
Player Dossier
2022-2025Army
Eric Ford
LB • 6'3" • 235 lbs • Laurel, MD, USA
Ball-hunting defenderSplash play profile
Eric Ford shows a ball-hunting defender profile with 32.9 disruption score.
Efficiency
32.9
Consistency
40.4
Season Value
28.7
Career Arc
Value trend by season
Best season by value score: 2022 Regular Season · Army
222324242525
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 6
- Program Path
- Army
- Peak Game
- Peak game by takeover score: UTSA
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.
Eric Ford, LB. Best season Best season by value score: 2022 Regular Season · Army. Eric Ford shows a ball-hunting defender profile with 32.9 disruption score.
Eric Ford played LB for Army. Across 4 tracked seasons, Eric Ford recorded 79 tackles. His top tracked season came in 2025 with Army.
Player insights
Lead takeaway
Best season by value score: 2022 Regular Season
Army paired 0 primary output with 4.2 efficiency.
Supporting note
2025 Postseason role shape
impact-led usage with 32.9 efficiency.
Supporting note
Career value stayed steady
2025 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: UTSA
Win with backfield disruption leading the way. 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 Postseason · Army
Games
11
Havoc Plays / G
1.3
Efficiency
32.9
Usage
12.9
Consistency
40.4
Best Game by takeover score
UConn
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. UConn: 2. Unknown: 4. North Texas: 0. East Carolina: 1.5. Charlotte: 2. Tulane: 0. Air Force: 0. Temple: 0. Tulsa: 0. UTSA: 4. Navy: 1
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. UConn: 2 by 28.3. Unknown: 8 by 73.3. North Texas: 7 by 29.2. East Carolina: 3 by 27.5. Charlotte: 4 by 36.7. Tulane: 2 by 8.3. Air Force: 7 by 29.2. Temple: 2 by 8.3. Tulsa: 5 by 20.8. UTSA: 6 by 65. Navy: 6 by 35
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Wins1.6 · Games = 5 · +1.1 vs Losses
Losses0.5 · Games = 5 · -1.1 vs Wins
First Half1.6 · Games = 6 · +0.6 vs Second Half
Second Half1 · 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
UTSA
Best efficiency game
73.3 vs Unknown
| Result | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Sat 12/27 | vs UConn | W 41-16 | 2 | 2 | — | 1 | 0 | — | 1 | — | — |
| Sat 12/13 | @ Navy | L 16-17 | 6 | 1 | — | 0.50 | 0.50 | — | 0 | — | — |
| Sat 11/29 | @ UTSA2+ sacks · Splash game | W 27-24 | 6 | 4 | — | 2 | 2 | — | 0 | — | — |
| Sat 11/22 | vs Tulsa | L 25-26 | 5 | 0 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/8 | vs Temple | W 14-13 | 2 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/1 | @ Air Force | W 20-17 | 7 | 3 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/18 | @ Tulane | L 17-24 | 2 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/11 | vs Charlotte | W 24-7 | 4 | 2 | — | 1 | 1 | — | 0 | — | — |
| Thu 9/25 | @ East Carolina | L 6-28 | 3 | 1 | — | 1.50 | 0 | — | 0 | — | — |
| Sat 9/20 | vs North Texas | L 38-45 | 7 | 5 | — | 0 | 0 | — | 0 | — | — |
| Fri 8/29 | vs UnknownSplash game | — | 8 | 5 | — | 2 | 1 | — | 1 | — | — |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Army
2022-2025
Opening stop
Season Progression
202220232024202420252025
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2022 Regular Season | Army | 0 | 4.2 | 0.9 | — |
| 2023 Regular Season | Army | 0.5 | 6.5 | 1.5 | 0.5 |
| 2024 Postseason | Army | 6 | 13.4 | 5 | 5.5 |
| 2024 Regular Season | Army | 6 | 13.4 | 5 | 0 |
| 2025 Postseason | Army | 14.5 | 32.9 | 12.9 | 8.5 |
| 2025 Regular Season | Army | 14.5 | 32.9 | 12.9 | 0 |
Signature Performances
Top Games
#1 Featured game
UTSA
Win with backfield disruption leading the way.
4
Primary metric
4 disruption/tackle impact with 70 takeover score.
#2
Unknown
4
Primary metric
Game with 4 impact plays across the defensive snap sheet.
4 disruption/tackle impact with 65.2 takeover score.
#3
UAB
2
Primary metric
Win with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 49.2 takeover score.
#4
Temple
2
Primary metric
Win with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 44.1 takeover score.
#5
Charlotte
2
Primary metric
Win with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 34.9 takeover score.
Top Seasons
#1 Season by value score
2022 Regular Season · Army
0 primary output · 4.2 efficiency · 0.9 usage
35
#2
2025 Postseason · Army
28.7
14.5 primary · 32.9 efficiency · 12.9 usage
#3
2025 Regular Season · Army
28.7
14.5 primary · 32.9 efficiency · 12.9 usage
Milestones
2
Impact games
2
Splash games
0
10+ tackle games
Bio, Recruit, and Data Context
Recruit Profile
3★
Class 2021 · Rating 0.8056
Landon School · Bethesda, MD
- Committed To
- Army
- Commit Date
- Jan 1, 2021
Career Facts
1
Career teams
6
Seasons tracked
79
Career Tackles
Data Context
Coverage spans 6 tracked seasons, 27 games, and SP opponent-strength context when available. Derived metrics fall back to raw production when share or rating context is missing.