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Logan Gravink Elite Prospects ↗

Position: Forward DOB: 2003-09-16 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
2019-20 Andover USHS-MN 9 1 0 1 0.111 0.0141 0.0141 0.0270 0.0270
2020-21 Andover USHS-MN 22 15 16 31 1.409 0.1784 0.1784 0.3423 0.3423
2021-22 Andover USHS-MN 31 16 13 29 0.935 0.1184 0.1184 0.2272 0.2272
2022-23 Aberdeen Wings NAHL 32 10 12 22 0.688 0.2526 0.2558 0.7257 0.7348
2023-24 Aberdeen Wings NAHL 60 16 26 42 0.700 0.2572 0.2481 0.7389 0.7129
■ 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 Augsburg D3 MIAC JR 22 0 0 0 0.000
2024-25 Augsburg D3 MIAC — 19 0 1 1 0.053
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.05
2024-25 · Augsburg
-75.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
28%
NCAA D2/D3
20%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#23349
Forward overall
#1269
Forward born in 2003

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.36 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG

D2/3 Comparables

Toon De Schepper
Wilkes · 2018-19
0.000 No data
actual D2/3 PPG
Teddy Purcell
SUNY Geneseo · 2005-06
0.550 Average
actual D2/3 PPG
Mac Olson
Hobart · 2011-12
0.846 Strong
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.