Usage Score
—
Player Dossier
2018-2020Pittsburgh
Michael Smith
WR • 6'1" • 215 lbs • Vero Beach, FL, USA
Reliable chain-moverPossession profile
Michael Smith reads as a reliable chain-mover based on recent role and receiving efficiency.
Efficiency
—
Consistency
100
Season Value
100
Career Arc
Value trend by season
Best season by value score: 2019 Regular Season · Pittsburgh
181920
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 3
- Program Path
- Pittsburgh
- Peak Game
- Peak game by takeover score: Unknown
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.
Michael Smith, WR. Best season Best season by value score: 2019 Regular Season · Pittsburgh. Michael Smith reads as a reliable chain-mover based on recent role and receiving efficiency.
Michael Smith played WR for Pittsburgh. Across 3 tracked seasons, Michael Smith recorded 2 tackles. His top tracked season came in 2018 with Pittsburgh.
Player insights
Lead takeaway
Best season by value score: 2019 Regular Season
Pittsburgh paired 0 primary output with — efficiency.
Supporting note
2019 Regular Season role shape
target-driven usage with — efficiency.
Supporting note
Career value cooled off
2020 Regular Season fell back from the prior stop by season value score.
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 · Pittsburgh
Games
1
Receiving Yards / G
0
Efficiency
—
Usage
—
Consistency
100
Best Game by takeover score
Penn State
Not enough games exist for the full explorer. The summary cards stay available so the season still reads clearly.
Active game
Hover over a point
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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.
Not enough games are available for a full trend line yet.
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.
Scatter view is hidden because this season does not have enough game-to-game variety yet.
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Game Log
Dense stat lines with inline explanations and season-linked highlights.
1 games
Featured metric
Receiving Yards
Top game by takeover score
Penn State
Best efficiency game
— vs Penn State
| Result | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Sat 9/14 | @ Penn State | L 10-17 | — | — | — | — | — | — | — |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Pittsburgh
2018-2020
Opening stop
Season Progression
201820192020
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2018 Regular Season | Pittsburgh | 0 | — | 0 | — |
| 2019 Regular Season | Pittsburgh | 0 | — | — | 0 |
| 2020 Regular Season | Pittsburgh | 0 | — | — | 0 |
Signature Performances
Top Games
#1 Featured game
Unknown
Game with an explosive receiving profile.
0
Primary metric
0 receiving yards with a — efficiency score.
#2
Penn State
0
Primary metric
Loss with an explosive receiving profile.
0 receiving yards with a — efficiency score.
Top Seasons
#1 Season by value score
2019 Regular Season · Pittsburgh
0 primary output · — efficiency · — usage
100
#2
2018 Regular Season · Pittsburgh
50
0 primary · — efficiency · 0 usage
#3
2020 Regular Season · Pittsburgh
—
0 primary · — efficiency · — usage
Milestones
0
100+ receiving yards
0
8+ catch outings
0
2+ TD games
Bio, Recruit, and Data Context
Recruit Profile
3★
Class 2024 · Rating 0.8786
St. Augustine · New Orleans, LA
- Committed To
- UAB
- Commit Date
- Jan 1, 2024
Career Facts
1
Career teams
3
Seasons tracked
0
Career Receiving Yards
Data Context
Coverage spans 3 tracked seasons, 2 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.