Usage Score
4.5
Player Dossier
2010-2014Stanford
Ricky Seale
RB • 5'9" • Escondido, CA, USA
Balanced backfield optionSteady chain mover
Ricky Seale leans balanced backfield option traits and 27.3 efficiency.
Efficiency
27.3
Consistency
62.3
Season Value
48.5
Career Arc
Value trend by season
Best season by value score: 2012 Regular Season · Stanford
10111213131414
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 7
- Program Path
- Stanford
- Peak Game
- Peak game by takeover score: Washington
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.
Ricky Seale, RB. Best season Best season by value score: 2012 Regular Season · Stanford. Ricky Seale leans balanced backfield option traits and 27.3 efficiency.
Ricky Seale played RB for Stanford. Across 5 tracked seasons, Ricky Seale recorded 171 rushing yards, 13 receiving yards, and 1 touchdowns. His top tracked season came in 2012 with Stanford.
Player insights
Lead takeaway
Best season by value score: 2012 Regular Season
Stanford paired 57 primary output with 45.2 efficiency.
Supporting note
2014 Postseason role shape
backfield-heavy usage with 27.3 efficiency.
Supporting note
Career value stayed steady
2014 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: UCLA
Win with 12 yards from scrimmage and efficient touch value. 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.
2014 Postseason · Stanford
Games
10
Scrimmage Yards / G
6.7
Efficiency
27.3
Usage
4.5
Consistency
62.3
Best Game by takeover score
Maryland
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. Maryland: 11. Unknown: 9. USC: 3. Army: 10. Notre Dame: 1. Arizona State: 3. Oregon State: 3. Utah: 4. California: 11. UCLA: 12
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. Maryland: 4 by 28.6. Unknown: 4 by 13.5. USC: 1 by 31.3. Army: 3 by 35.8. Notre Dame: 1 by 10.4. Arizona State: 1 by 31.3. Oregon State: 2 by 15.6. Utah: 1 by 41.7. California: 5 by 22.9. UCLA: 3 by 41.7
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Wins9.4 · Games = 5 · +6.7 vs Losses
Losses2.8 · Games = 4 · -6.7 vs Wins
First Half6.8 · Games = 5 · +0.2 vs Second Half
Second Half6.6 · Games = 5 · -0.2 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
10 games
Featured metric
Scrimmage Yards
Top game by takeover score
UCLA
Best efficiency game
41.7 vs UCLA
| Result | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Wed 12/31 | vs Maryland | W 45-21 | 4 | 11 | 2.80 | 1 | — | — | 2.8 |
| Fri 11/28 | @ UCLA | W 31-10 | 3 | 12 | 4 | 0 | — | — | 4 |
| Sat 11/22 | @ California | W 38-17 | 5 | 11 | 2.20 | 0 | — | — | 2.2 |
| Sat 11/15 | vs Utah | L 17-20 | 1 | 4 | 4 | 0 | — | — | 4 |
| Sat 10/25 | vs Oregon State | W 38-14 | 2 | 3 | 1.50 | 0 | — | — | 1.5 |
| Sun 10/19 | @ Arizona State | L 10-26 | 1 | 3 | 3 | 0 | — | — | 3 |
| Sat 10/4 | @ Notre Dame | L 14-17 | 1 | 1 | 1 | 0 | — | — | 1 |
| Sat 9/13 | vs Army | W 35-0 | 2 | 7 | 3.50 | 0 | 1 | 3 | 3.3 |
| Sat 9/6 | vs USC | L 10-13 | 1 | 3 | 3 | 0 | — | — | 3 |
| Sat 8/30 | vs Unknown | — | 3 | 2 | 0.70 | 0 | 1 | 7 | 2.3 |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Stanford
2010-2014
Opening stop
Season Progression
2010201120122013201320142014
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2010 Regular Season | Stanford | 0 | — | — | — |
| 2011 Regular Season | Stanford | 26 | 36.2 | 3 | 26 |
| 2012 Regular Season | Stanford | 57 | 45.2 | 3.9 | 31 |
| 2013 Postseason | Stanford | 34 | 32.2 | 2.8 | -23 |
| 2013 Regular Season | Stanford | 34 | 32.2 | 2.8 | 0 |
| 2014 Postseason | Stanford | 67 | 27.3 | 4.5 | 33 |
| 2014 Regular Season | Stanford | 67 | 27.3 | 4.5 | 0 |
Signature Performances
Top Games
#1 Featured game
Washington
Win with 17 yards from scrimmage and efficient touch value.
17
Primary metric
17 scrimmage yards and 2 usage.
#2
Duke
15
Primary metric
Win with 15 yards from scrimmage and efficient touch value.
15 scrimmage yards and 4 usage.
#3
Colorado
18
Primary metric
Win with 18 yards from scrimmage and efficient touch value.
18 scrimmage yards and 6.5 usage.
#4
UCLA
12
Primary metric
Win with 12 yards from scrimmage and efficient touch value.
12 scrimmage yards and 5 usage.
#5
Maryland
11
Primary metric
Win with 11 yards from scrimmage and efficient touch value.
11 scrimmage yards and 6.3 usage.
Top Seasons
#1 Season by value score
2012 Regular Season · Stanford
57 primary output · 45.2 efficiency · 3.9 usage
54.6
#2
2014 Postseason · Stanford
48.5
67 primary · 27.3 efficiency · 4.5 usage
#3
2014 Regular Season · Stanford
48.5
67 primary · 27.3 efficiency · 4.5 usage
Milestones
0
100+ rush yards
0
150+ scrimmage yards
0
2+ TD games
Bio, Recruit, and Data Context
Recruit Profile
3★
Class 2010 · Rating 0.89
Escondido · Escondido, CA
- Committed To
- Stanford
- Commit Date
- Jan 1, 2010
Career Facts
1
Career teams
7
Seasons tracked
184
Career Scrimmage Yards
Data Context
Coverage spans 7 tracked seasons, 27 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.