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Vincent Corcoran Elite Prospects ↗

Position: Defense DOB: 2001-09-21 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 Amarillo Wranglers NAHL 52 5 6 11 0.211 0.0777 0.0777 0.2232 0.2232
2020-21 Oklahoma Warriors NAHL 54 4 27 31 0.574 0.2109 0.2109 0.6060 0.6060
2021-22 Oklahoma Warriors NAHL 58 8 44 52 0.897 0.3294 0.3170 0.9464 0.9109
■ 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 Bemidji State D1 CCHA — 32 1 6 7 0.219
2024-25 Bemidji State D1 CCHA JR 30 1 8 9 0.300
2023-24 Bemidji State D1 CCHA SO 34 2 9 11 0.324
2022-23 Bemidji State D1 CCHA FR 20 0 3 3 0.150
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.15
2022-23 · Bemidji State
-49.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

57%
NCAA D1
2%
NCAA D2/D3
28%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#4342
Defenseman overall
#996
Defenseman born in 2001
#1394
in NAHL

D1 Comparables

Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
Paul LaDue
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.51 D1 FR PPG)
0.43 Elite D
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG

D2/3 Comparables

Jason Kenyon
Manhattanville · 2000-01
1.083 Elite
actual D2/3 PPG
Wil Munson
Nichols · 2006-07
1.231 Elite
actual D2/3 PPG
Justin Siebold
Elmira · 2000-01
0.824 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.