Usage Score
6.7
Player Dossier
2012-2015Northwestern
Stephen Buckley
WR • 6'0" • Forney, TX, USA
Reliable chain-moverPossession profile
Stephen Buckley reads as a reliable chain-mover based on recent role and receiving efficiency.
Efficiency
40
Consistency
94.4
Season Value
36.2
Career Arc
Value trend by season
Best season by value score: 2015 Regular Season · Northwestern
12131415
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 4
- Program Path
- Northwestern
- Peak Game
- Peak game by takeover score: Nebraska
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.
Stephen Buckley, WR. Best season Best season by value score: 2015 Regular Season · Northwestern. Stephen Buckley reads as a reliable chain-mover based on recent role and receiving efficiency.
Player insights
Lead takeaway
Best season by value score: 2015 Regular Season
Northwestern paired 12 primary output with 40 efficiency.
Supporting note
2015 Regular Season role shape
target-driven usage with 40 efficiency.
Supporting note
Career value stayed steady
2015 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: Illinois
Win with an explosive receiving profile. 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.
2015 Regular Season · Northwestern
Games
2
Receiving Yards / G
6
Efficiency
40
Usage
6.7
Consistency
94.4
Best Game by takeover score
Illinois
Not enough games exist for the full explorer. The summary cards stay available so the season still reads clearly.
Game-by-Game Trend
12
Chronological game order.
Game by game trend chart. Iowa: 5. Illinois: 7
Volume vs Efficiency
Scatter view is hidden because this season does not have enough game-to-game variety yet.
Split Comparison
All Games6 · n=2
Game Log
Dense stat lines with inline explanations and season-linked highlights.
2 games
Featured metric
Receiving Yards
Top game by takeover score
Illinois
Best efficiency game
46.7 vs Illinois
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Northwestern
2012-2015
Opening stop
Season Progression
2012201320142015
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2012 Regular Season | Northwestern | 0 | — | — | — |
| 2013 Regular Season | Northwestern | 51 | 71.1 | 10.8 | 51 |
| 2014 Regular Season | Northwestern | 23 | 63.4 | 4.6 | -28 |
| 2015 Regular Season | Northwestern | 12 | 40 | 6.7 | -11 |
Signature Performances
Top Games
#1 Featured game
Nebraska
Loss with an explosive receiving profile.
19
Primary metric
19 receiving yards with a 100 efficiency score.
#2
Nebraska
17
Primary metric
Loss with an explosive receiving profile.
17 receiving yards with a 100 efficiency score.
#3
Western Michigan
20
Primary metric
Win with an explosive receiving profile.
20 receiving yards with a 66.7 efficiency score.
#4
Illinois
7
Primary metric
Win with an explosive receiving profile.
7 receiving yards with a 46.7 efficiency score.
#5
Syracuse
14
Primary metric
Win with an explosive receiving profile.
14 receiving yards with a 46.7 efficiency score.
Top Seasons
#1 Season by value score
2015 Regular Season · Northwestern
12 primary output · 40 efficiency · 6.7 usage
36.2
#2
2014 Regular Season · Northwestern
34.2
23 primary · 63.4 efficiency · 4.6 usage
#3
2013 Regular Season · Northwestern
27.6
51 primary · 71.1 efficiency · 10.8 usage
Milestones
0
100+ receiving yards
0
8+ catch outings
0
2+ TD games
Bio, Recruit, and Data Context
Recruit Profile
2★
Class 2012 · Rating 0.7928
Forney · Forney, TX
- Committed To
- Northwestern
- Commit Date
- Jan 1, 2012
Career Facts
1
Career teams
4
Seasons tracked
86
Career Receiving Yards
Data Context
Coverage spans 4 tracked seasons, 12 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.