Usage Score
—
Player Dossier
2017-2021UNLV
Daniel Godfrey
TE • 5'8" • 235 lbs • Las Vegas, NV, USA
Reliable chain-moverPossession profile
Daniel Godfrey 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: 2017 Regular Season · UNLV
1718192021
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 5
- Program Path
- UNLV
- Peak Game
- Peak game by takeover score: San José State
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.
Daniel Godfrey, TE. Best season Best season by value score: 2017 Regular Season · UNLV. Daniel Godfrey reads as a reliable chain-mover based on recent role and receiving efficiency.
Player insights
Lead takeaway
Best season by value score: 2017 Regular Season
UNLV paired 0 primary output with — efficiency.
Supporting note
2019 Regular Season role shape
target-driven usage with — efficiency.
Supporting note
Career value stayed steady
2021 Regular Season tracked close to 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 · UNLV
Games
3
Receiving Yards / G
0
Efficiency
—
Usage
—
Consistency
100
Best Game by takeover score
Fresno State
Hover a point or expand a game row to keep the active game context visible here.
Active game
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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.
Chronological game order.
Game by game trend chart. Unknown: 0. Vanderbilt: 0. Fresno State: 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.
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.
First Half0 · Games = 2
All Games0 · Games = 3
Game Log
Dense stat lines with inline explanations and season-linked highlights.
3 games
Featured metric
Receiving Yards
Top game by takeover score
Fresno State
Best efficiency game
— vs Fresno State
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
UNLV
2017-2021
Opening stop
Season Progression
20172018201920202021
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2017 Regular Season | UNLV | 0 | — | — | — |
| 2018 Regular Season | UNLV | 0 | — | — | 0 |
| 2019 Regular Season | UNLV | 0 | — | — | 0 |
| 2020 Regular Season | UNLV | 0 | — | — | 0 |
| 2021 Regular Season | UNLV | 0 | — | — | 0 |
Signature Performances
Top Games
#1 Featured game
San José State
Win with an explosive receiving profile.
0
Primary metric
0 receiving yards with a — efficiency score.
#2
Fresno State
0
Primary metric
Loss with an explosive receiving profile.
0 receiving yards with a — efficiency score.
#3
Vanderbilt
0
Primary metric
Win with an explosive receiving profile.
0 receiving yards with a — efficiency score.
#4
Unknown
0
Primary metric
Game with an explosive receiving profile.
0 receiving yards with a — efficiency score.
#5
Wyoming
0
Primary metric
Loss with an explosive receiving profile.
0 receiving yards with a — efficiency score.
Top Seasons
#1 Season by value score
2017 Regular Season · UNLV
0 primary output · — efficiency · — usage
100
#2
2019 Regular Season · UNLV
100
0 primary · — efficiency · — usage
#3
2020 Regular Season · UNLV
100
0 primary · — efficiency · — usage
Milestones
0
100+ receiving yards
0
8+ catch outings
0
2+ TD games
Bio, Recruit, and Data Context
Career Facts
1
Career teams
5
Seasons tracked
0
Career Receiving Yards
Data Context
Coverage spans 5 tracked seasons, 8 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.