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Tyler Gaulin Elite Prospects ↗

Position: Forward DOB: 2001-11-09 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
2018-19 Berwick NE-Prep 28 13 22 35 1.250 0.2476 0.2476 0.5695 0.5695
2019-20 Berwick NE-Prep 27 19 23 42 1.556 0.3082 0.3082 1.0555 1.0555
2020-21 Maine Nordiques NAHL 55 10 25 35 0.636 0.2338 0.2338 0.6717 0.6717
2021-22 Maine Nordiques NAHL 57 15 29 44 0.772 0.2836 0.2748 0.8147 0.7896
■ 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 Endicott D3 CNE SR 13 1 3 4 0.308
2024-25 Endicott D3 CNE — 13 2 2 4 0.308
2023-24 Mercyhurst D1 AHA — 8 0 0 0 0.000
2022-23 Mercyhurst D1 AHA — 10 0 1 1 0.100
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.10
2022-23 · Mercyhurst
-59.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D1
8%
NCAA D2/D3
35%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#14007
Forward overall
#649
Forward born in 2001

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG

D2/3 Comparables

Max Rasberg
University of New England · 2015-16
0.964 Strong
actual D2/3 PPG
Alec Hagaman
Wisconsin-River Falls · 2009-10
0.741 Strong
actual D2/3 PPG
Ben Gamache
Hobart · 2011-12
0.560 Average
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.