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Paul Cotter Elite Prospects ↗

Position: Forward DOB: 1999-11-16 Country: USA
2018 NHL Draft Round 4, Pick #115  ·  Vegas Golden Knights Vegas Golden Knights
Signed Professionally

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
2016-17 — NAHL 59 28 32 60 1.017 0.4029 0.4480 1.0676 1.1872
2017-18 — USHL 51 18 21 39 0.765 0.4701 0.4849 2.2530 2.3239
2018-19 — OHL 48 9 17 26 0.542 0.3143 0.3061 1.3881 1.3520
■ 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
2018-19 Western Michigan D1 NCHC FR 8 0 1 1 0.125
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.40
before college
→
Actual FR PPG
0.12
2018-19 · Western Michigan
-68.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
2%
NCAA D2/D3
28%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

D1 Comparables

A.J. Fossen
USHL · 2012-13 · 0.55 PPG
→ Clarkson (0.32 D1 FR PPG)
0.33 Developing
NCAAe PPG
Grant Opperman
USHL · 2012-13 · 0.56 PPG
→ Dartmouth (0.61 D1 FR PPG)
0.34 Strong
NCAAe PPG
Villiam Haag
USHL · 2012-13 · 0.64 PPG
→ Michigan (0.37 D1 FR PPG)
0.38 Average
NCAAe PPG
Kenny Gillespie
USHL · 2012-13 · 0.37 PPG
→ RPI (0.20 D1 FR PPG)
0.22 Developing
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.23 Strong
NCAAe PPG

D2/3 Comparables

Scott Cuthrell
Nichols · 2012-13
0.704 Strong
actual D2/3 PPG
Anthony Marra
SUNY Geneseo · 2013-14
1.161 Elite
actual D2/3 PPG
Ryan Cole
Trinity · 2011-12
1.846 Elite
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.