Usage Score
5.3
Player Dossier
2009-2010Bowling Green
TE • 6'4" • Crystal Lake, IL, USA
Nick Rieke reads as a reliable chain-mover based on recent role and receiving efficiency.
Usage Score
5.3
Efficiency
37.3
Consistency
58.4
Season Value
49.6
Career Arc
Value trend by season
Best season by value score: 2009 Regular Season · Bowling Green
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.
Nick Rieke, TE. Best season Best season by value score: 2009 Regular Season · Bowling Green. Nick Rieke reads as a reliable chain-mover based on recent role and receiving efficiency.
Nick Rieke played TE for Bowling Green. Across 2 tracked seasons, Nick Rieke recorded 60 receiving yards. His top tracked season came in 2010 with Bowling Green.
Lead takeaway
Best season by value score: 2009 Regular Season
Bowling Green paired 23 primary output with 76.7 efficiency.
Supporting note
2010 Regular Season role shape
target-driven usage with 37.3 efficiency.
Supporting note
Career value cooled off
2010 Regular Season fell back from the prior stop by season value score.
Supporting note
Peak game by takeover score: Tulsa
Loss 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
5
Receiving Yards / G
7.4
Efficiency
37.3
Usage
5.3
Consistency
58.4
Best Game by takeover score
Western Michigan
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. Tulsa: 18. Marshall: 5. Michigan: 7. Kent State: 0. Western Michigan: 7
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. Tulsa: 2 by 60. Marshall: 1 by 33.3. Michigan: 1 by 46.7. Kent State: 1 by 0. Western Michigan: 1 by 46.7
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.
5 games
Featured metric
Receiving Yards
Top game by takeover score
Tulsa
Best efficiency game
60 vs Tulsa
Track team changes, role shifts, and season-to-season movement.
Bowling Green
2009-2010
Opening stop
Season Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2009 Regular Season | Bowling Green | 23 | 76.7 | 3.4 | — |
| 2010 Regular Season | Bowling Green | 37 | 37.3 | 5.3 | 14 |
#1 Featured game
Miami (OH)
Win with an explosive receiving profile.
12
Primary metric
12 receiving yards with a 80 efficiency score.
#2
Kent State
11
Primary metric
Win with an explosive receiving profile.
11 receiving yards with a 73.3 efficiency score.
#3
Tulsa
18
Primary metric
Loss with an explosive receiving profile.
18 receiving yards with a 60 efficiency score.
#4
Western Michigan
7
Primary metric
Loss with an explosive receiving profile.
7 receiving yards with a 46.7 efficiency score.
#5
Michigan
7
Primary metric
Loss with an explosive receiving profile.
7 receiving yards with a 46.7 efficiency score.
#1 Season by value score
2009 Regular Season · Bowling Green
23 primary output · 76.7 efficiency · 3.4 usage
59.8
#2
2010 Regular Season · Bowling Green
49.6
37 primary · 37.3 efficiency · 5.3 usage
0
100+ receiving yards
0
8+ catch outings
0
2+ TD games
Recruit Profile
Class 2006 · Rating 0.7667
Crystal Lake South · Crystal Lake, IL
Career Facts
1
Career teams
2
Seasons tracked
60
Career Receiving Yards
Data Context
Coverage spans 2 tracked seasons, 7 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.