Usage Score
5.4
Player Dossier
2019-2022Texas State
TE • 6'1" • 230 lbs • Moore, OK, USA
James Palmer reads as a reliable chain-mover based on recent role and receiving efficiency.
Usage Score
5.4
Efficiency
60
Consistency
21.8
Season Value
30.3
Career Arc
Value trend by season
Best season by value score: 2019 Regular Season · Tulsa
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.
James Palmer, TE. Best season Best season by value score: 2019 Regular Season · Tulsa. James Palmer reads as a reliable chain-mover based on recent role and receiving efficiency.
James Palmer played TE for Tulsa and Texas State. Across 4 tracked seasons, James Palmer recorded 117 receiving yards, 1 tackles, and 1 touchdowns. His top tracked season came in 2019 with Tulsa.
Lead takeaway
Best season by value score: 2019 Regular Season
Tulsa paired 81 primary output with 80 efficiency.
Supporting note
2021 Regular Season role shape
target-driven usage with 60 efficiency.
Supporting note
Career value cooled off
2022 Regular Season fell back from the prior stop by season value score.
Supporting note
Multi-stop career journey
Production spans 2 team stops, with role shifts visible across Tulsa, Texas State.
Supporting note
Peak game by takeover score: Temple
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
9.3
Efficiency
60
Usage
5.4
Consistency
21.8
Best Game by takeover score
Temple
Active game
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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. Oklahoma State: 3. Tulane: 0. Temple: 25
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.
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
Temple
Best efficiency game
100 vs Temple
Track team changes, role shifts, and season-to-season movement.
Tulsa
2019-2021
Opening stop
Texas State
2022
Final stop
Season Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2019 Regular Season | Tulsa | 81 | 80 | 7 | — |
| 2020 Regular Season | Tulsa | 8 | 26.7 | 4.9 | -73 |
| 2021 Regular Season | Tulsa | 28 | 60 | 5.4 | 20 |
| 2022 Regular Season | Texas State | 0 | — | — | -28 |
#1 Featured game
Tulane
Loss with an explosive receiving profile.
46
Primary metric
46 receiving yards with a 100 efficiency score.
#2
Temple
25
Primary metric
Win with an explosive receiving profile.
25 receiving yards with a 100 efficiency score.
#3
East Carolina
29
Primary metric
Win with an explosive receiving profile.
29 receiving yards with a 100 efficiency score.
#4
UCF
4
Primary metric
Win with an explosive receiving profile.
4 receiving yards with a 26.7 efficiency score.
#5
SMU
4
Primary metric
Win with an explosive receiving profile.
4 receiving yards with a 26.7 efficiency score.
#1 Season by value score
2019 Regular Season · Tulsa
81 primary output · 80 efficiency · 7 usage
63.6
#2
2020 Regular Season · Tulsa
35.3
8 primary · 26.7 efficiency · 4.9 usage
#3
2021 Regular Season · Tulsa
30.3
28 primary · 60 efficiency · 5.4 usage
0
100+ receiving yards
0
8+ catch outings
0
2+ TD games
Recruit Profile
Class 2018 · Rating 0.7842
Westmoore · Oklahoma City, OK
Career Facts
2
Career teams
4
Seasons tracked
117
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.