Usage Score
12.7
Player Dossier
2018-2021UCLA
WR • 6'0" • 201 lbs • Ontario, CA, USA
Delon Hurt reads as a reliable chain-mover based on recent role and receiving efficiency.
Usage Score
12.7
Efficiency
98.5
Consistency
73.8
Season Value
70.9
Career Arc
Value trend by season
Best season by value score: 2020 Regular Season · UCLA
Snapshot
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.
Delon Hurt, WR. Best season Best season by value score: 2020 Regular Season · UCLA. Delon Hurt reads as a reliable chain-mover based on recent role and receiving efficiency.
Delon Hurt played WR for UCLA. Across 4 tracked seasons, Delon Hurt recorded 142 receiving yards, 5 tackles, and 1 touchdowns. His top tracked season came in 2020 with UCLA.
Lead takeaway
Best season by value score: 2020 Regular Season
UCLA paired 122 primary output with 98.5 efficiency.
Supporting note
2020 Regular Season role shape
target-driven usage with 98.5 efficiency.
Supporting note
Career value cooled off
2021 Regular Season fell back from the prior stop by season value score.
Supporting note
Peak game by takeover score: Arizona State
Win with an explosive receiving profile. It landed in the 100th percentile of the selected season.
Analysis workspace
Filter the strongest season sample, inspect game-level shape, and then drop into the full log without losing the story of the year.
Understand the selected season before dropping into the full game log.
Games
3
Receiving Yards / G
40.7
Efficiency
98.5
Usage
12.7
Consistency
73.8
Best Game by takeover score
Stanford
Active game
Hover over a point
Hover or select a game to keep its context visible here without the page shifting around.
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. Arizona State: 62. USC: 43. Stanford: 17
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.
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High volumeLower quality
Volume on the x-axis, quality on the y-axis.
Volume versus efficiency scatter chart. Arizona State: 4 by 100. USC: 3 by 95.6. Stanford: 1 by 100
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Dense stat lines with inline explanations and season-linked highlights.
3 games
Featured metric
Receiving Yards
Top game by takeover score
Arizona State
Best efficiency game
100 vs Stanford
Track team changes, role shifts, and season-to-season movement.
UCLA
2018-2021
Opening stop
Season Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2018 Regular Season | UCLA | 15 | 100 | 4.2 | — |
| 2019 Regular Season | UCLA | 5 | 33.3 | 3.2 | -10 |
| 2020 Regular Season | UCLA | 122 | 98.5 | 12.7 | 117 |
| 2021 Regular Season | UCLA | 0 | — | — | -122 |
#1 Featured game
Arizona State
Win with an explosive receiving profile.
62
Primary metric
62 receiving yards with a 100 efficiency score.
#2
Oregon
15
Primary metric
Loss with an explosive receiving profile.
15 receiving yards with a 100 efficiency score.
#3
USC
43
Primary metric
Loss with an explosive receiving profile.
43 receiving yards with a 95.6 efficiency score.
#4
California
5
Primary metric
Loss with an explosive receiving profile.
5 receiving yards with a 33.3 efficiency score.
#5
Stanford
17
Primary metric
Loss with an explosive receiving profile.
17 receiving yards with a 100 efficiency score.
#1 Season by value score
2020 Regular Season · UCLA
122 primary output · 98.5 efficiency · 12.7 usage
70.9
#2
2019 Regular Season · UCLA
35.1
5 primary · 33.3 efficiency · 3.2 usage
#3
2018 Regular Season · UCLA
31.1
15 primary · 100 efficiency · 4.2 usage
0
100+ receiving yards
0
8+ catch outings
0
2+ TD games
Recruit Profile
Class 2018 · Rating 0.8809
Servite · Anaheim, CA
Career Facts
1
Career teams
4
Seasons tracked
142
Career Receiving Yards
Data Context
Coverage spans 4 tracked seasons, 8 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.