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Riley Fitzgerald Elite Prospects ↗

Position: Forward DOB: 2003-06-02 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
2021-22 Boston Jr. Bruins NCDC 5 1 1 2 0.400 0.2230 0.2327 0.3234 0.3375
2022-23 Cedar Rapids RoughRiders USHL 50 3 5 8 0.160 0.0984 0.0939 0.4714 0.4499
2023-24 New Jersey Jr. Titans NAHL 7 3 4 7 1.000 0.3962 0.3765 0.7366 0.6664
■ 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 SO 20 4 2 6 0.300
2024-25 Mercyhurst D1 AHA — 33 7 7 14 0.424
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.42
2024-25 · Mercyhurst
+88.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
5%
NCAA D2/D3
55%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#47000
Forward overall
#3109
Forward born in 2003

D1 Comparables

Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.50 Developing
NCAAe PPG

D2/3 Comparables

Don Olivieri
Utica · 2011-12
0.815 Strong
actual D2/3 PPG
Aaron Andrade
Buffalo State · 2024-25
0.720 Strong
actual D2/3 PPG
Michael Thompson
Milwaukee School of Engineering · 2004-05
0.741 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.