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Ryan Corcoran Elite Prospects ↗

Position: Forward DOB: 2002-04-04 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
2020-21 Boston Advantage NCDC 41 9 13 22 0.537 0.1240 0.1240 0.4339 0.4339
2021-22 Northeast Generals NAHL 50 11 15 26 0.520 0.1847 0.1827 0.5459 0.5400
■ 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 Amherst D3 NESCAC SR 25 1 5 6 0.240
2024-25 Amherst D3 NESCAC JR 22 1 4 5 0.227
2023-24 Amherst D3 NESCAC SO 22 1 0 1 0.045
2022-23 Amherst D3 NESCAC FR 23 4 3 7 0.304
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.30
2022-23 · Amherst
+94.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
5%
NCAA D2/D3
12%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#21842
Forward overall
#1192
Forward born in 2002

D1 Comparables

Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.22 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.21 Developing
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Ryan Stratton
Skidmore · 2024-25
0.577 Average
actual D2/3 PPG
Brodie Tutton
SUNY Geneseo · 2013-14
0.500 Average
actual D2/3 PPG
Mike Moher
Amherst · 2004-05
0.500 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.