Player Dossier

2015-2017

Pittsburgh

Nathan Bossory

TE • 6'3" • 240 lbs • Manchester, MI, USA

Vertical playmakerExplosive finisher

Nathan Bossory reads as a vertical playmaker based on recent role and receiving efficiency.

Usage Score

5

Efficiency

100

Consistency

100

Season Value

73.3

Career Arc

Value trend by season

Best season by value score: 2017 Regular Season · Pittsburgh

151617

Snapshot

Career Teams
1
Seasons Tracked
3
Program Path
Pittsburgh
Peak Game
Peak game by takeover score: Virginia Tech

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.

Nathan Bossory, TE. Best season Best season by value score: 2017 Regular Season · Pittsburgh. Nathan Bossory reads as a vertical playmaker based on recent role and receiving efficiency.

Nathan Bossory played TE for Pittsburgh. Across 3 tracked seasons, Nathan Bossory recorded 15 receiving yards and 1 touchdowns. His top tracked season came in 2017 with Pittsburgh.

Player insights

Lead takeaway

Best season by value score: 2017 Regular Season

Pittsburgh paired 15 primary output with 100 efficiency.

Supporting note

2017 Regular Season role shape

target-driven usage with 100 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: Virginia Tech

Loss with an explosive receiving profile. It landed in the 100th percentile of the selected season.

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.

2017 Regular Season · Pittsburgh

Games

1

Receiving Yards / G

15

Efficiency

100

Usage

5

Consistency

100

Best Game by takeover score

Virginia Tech

Not enough games exist for the full explorer. The summary cards stay available so the season still reads clearly.

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.

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

Virginia Tech

Best efficiency game

100 vs Virginia Tech

Result
Sat 11/18@ Virginia TechL 14-201151515115

Career Arc

Track team changes, role shifts, and season-to-season movement.

  1. 1

    Pittsburgh

    2015-2017

    Opening stop

Season Progression

201520162017
SeasonTeamPrimaryEfficiencyUsageDelta
2015 Regular SeasonPittsburgh0
2016 Regular SeasonPittsburgh00
2017 Regular SeasonPittsburgh15100515

Signature Performances

Top Games

#1 Featured game

Virginia Tech

Loss with an explosive receiving profile.

15

Primary metric

15 receiving yards with a 100 efficiency score.

Top Seasons

#1 Season by value score

2017 Regular Season · Pittsburgh

15 primary output · 100 efficiency · 5 usage

73.3

#2

2015 Regular Season · Pittsburgh

0 primary · efficiency · usage

#3

2016 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

2★

Class 2013 · Rating 0.7889

Chelsea · Manchester, MI

Committed To
Air Force
Commit Date
Jan 1, 2013

Career Facts

1

Career teams

3

Seasons tracked

15

Career Receiving Yards

Data Context

Coverage spans 3 tracked seasons, 1 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.