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Reed Gramlich Elite Prospects ↗

Position: Forward DOB: 2005-09-02 Country: USA
No commitment set

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2024-25 Estevan Bruins SJHL 34 4 1 5 0.147 0.0377 0.0378 0.1109 0.1111
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2025-26 University of Arizona ACHA_D1 — — 25 6 4 10 0.400
2024-25 University of Arizona ACHA_D1 — — 25 6 4 10 0.400
2023-24 University of Arizona ACHA_D1 — — 25 6 4 10 0.400
2022-23 University of Arizona ACHA_D1 — — 25 6 4 10 0.400
2021-22 University of Arizona ACHA_D1 — — 25 6 4 10 0.400
2020-21 University of Arizona ACHA_D1 — — 25 6 4 10 0.400

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
10%
NCAA D2/D3
20%
Age-Out / Club
57%
Pro / Other

NCAAe Rankings

#58824
Forward overall
#4187
Forward born in 2005
#2268
in SJHL

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG

D2/3 Comparables

Josh Hinderliter
Trine · 2015-16
0.333 Developing
actual D2/3 PPG
Mack Ohnsted
Augsburg · 2010-11
0.400 Average
actual D2/3 PPG
Ondrej Zehnal
Marian · 2013-14
0.000 No data
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.