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Ryan Coughlin Elite Prospects ↗

Position: Forward DOB: 2001-02-09 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 Muskegon Lumberjacks USHL 1 0 0 0 0.000 — — — —
2019-20 Corpus Christi IceRays NAHL 51 16 16 32 0.627 0.2305 0.2305 0.6623 0.6623
2020-21 Houston Bulls NAHL 45 11 12 23 0.511 0.1878 0.1878 — —
2021-22 — NAHL 55 16 29 45 0.818 0.3006 0.2801 0.8636 0.8046
■ 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 Mercyhurst D1 AHA SR 37 5 8 13 0.351
2024-25 Mercyhurst D1 AHA JR 35 5 10 15 0.429
2023-24 Mercyhurst D1 AHA SO 27 5 7 12 0.444
2022-23 Mercyhurst D1 AHA FR 17 0 1 1 0.059
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.06
2022-23 · Mercyhurst
-75.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
10%
NCAA D2/D3
40%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#18816
Forward overall
#884
Forward born in 2001

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Corey Kennedy
Neumann · 2015-16
0.500 Average
actual D2/3 PPG
Arvega Hovsepyan
Salve Regina · 2023-24
1.385 Elite
actual D2/3 PPG
Shawn Metheral
Wentworth · 2000-01
1.069 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.