Usage Score
11.3
Player Dossier
2014-2017Baylor
TE • 6'4" • 271 lbs • Kingwood, TX, USA
Jordan Feuerbacher reads as a vertical playmaker based on recent role and receiving efficiency.
Usage Score
11.3
Efficiency
73.9
Consistency
98.7
Season Value
62.9
Career Arc
Value trend by season
Best season by value score: 2017 Regular Season · Baylor
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.
Jordan Feuerbacher, TE. Best season Best season by value score: 2017 Regular Season · Baylor. Jordan Feuerbacher reads as a vertical playmaker based on recent role and receiving efficiency.
Jordan Feuerbacher played TE for Baylor. Across 4 tracked seasons, Jordan Feuerbacher recorded 192 receiving yards, 1 tackles, and 3 touchdowns. His top tracked season came in 2016 with Baylor.
Lead takeaway
Best season by value score: 2017 Regular Season
Baylor paired 73 primary output with 73.9 efficiency.
Supporting note
2017 Regular Season role shape
target-driven usage with 73.9 efficiency.
Supporting note
Career value is trending up
2017 Regular Season improved on the prior stop by season value score.
Supporting note
Peak game by takeover score: Kansas
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
24.3
Efficiency
73.9
Usage
11.3
Consistency
98.7
Best Game by takeover score
Iowa State
Active game
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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: 25. Kansas: 25. Iowa State: 23
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. Oklahoma State: 2 by 83.3. Kansas: 1 by 100. Iowa State: 4 by 38.3
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
Kansas
Best efficiency game
100 vs Kansas
Track team changes, role shifts, and season-to-season movement.
Baylor
2014-2017
Opening stop
Season Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2014 Regular Season | Baylor | 15 | 50 | 10.5 | — |
| 2015 Regular Season | Baylor | 0 | — | — | -15 |
| 2016 Regular Season | Baylor | 104 | 68.9 | 6.7 | 104 |
| 2017 Regular Season | Baylor | 73 | 73.9 | 11.3 | -31 |
#1 Featured game
Oklahoma State
Win with an explosive receiving profile.
50
Primary metric
50 receiving yards with a 100 efficiency score.
#2
Kansas
25
Primary metric
Win with an explosive receiving profile.
25 receiving yards with a 100 efficiency score.
#3
Oklahoma State
25
Primary metric
Loss with an explosive receiving profile.
25 receiving yards with a 83.3 efficiency score.
#4
Unknown
15
Primary metric
Game with an explosive receiving profile.
15 receiving yards with a 50 efficiency score.
#5
Rice
22
Primary metric
Win with an explosive receiving profile.
22 receiving yards with a 100 efficiency score.
#1 Season by value score
2017 Regular Season · Baylor
73 primary output · 73.9 efficiency · 11.3 usage
62.9
#2
2016 Regular Season · Baylor
51
104 primary · 68.9 efficiency · 6.7 usage
#3
2014 Regular Season · Baylor
43.6
15 primary · 50 efficiency · 10.5 usage
0
100+ receiving yards
0
8+ catch outings
0
2+ TD games
Recruit Profile
Class 2014 · Rating 0.8542
Kingwood Park · Humble, TX
Career Facts
1
Career teams
4
Seasons tracked
192
Career Receiving Yards
Data Context
Coverage spans 4 tracked seasons, 11 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.