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Rory Herrman Elite Prospects ↗

Position: Forward DOB: 1999-03-16 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
2015-16 U.S. National U17 Team NTDP-U18 3 0 0 0 0.000 — — — —
2016-17 Green Bay Gamblers USHL 37 1 2 3 0.081 0.0478 0.0501 0.2436 0.2552
2017-18 Green Bay Gamblers USHL 55 11 13 24 0.436 0.2574 0.2569 1.3107 1.3080
2018-19 — USHL 41 10 13 23 0.561 0.3309 0.3131 1.6849 1.5944
■ 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
2022-23 RPI D1 ECAC — 16 0 1 1 0.062
2021-22 RPI D1 ECAC — 33 3 3 6 0.182
2020-21 RPI D1 ECAC — 0 0 0 0 0.000
2019-20 RPI D1 ECAC FR 21 1 3 4 0.191
2019-20 Rensselaer D1 — FR 21 1 3 4 0.191
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.19
2019-20 · RPI
-23.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

72%
NCAA D1
5%
NCAA D2/D3
12%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#21039
Forward overall
#1040
Forward born in 1999

D1 Comparables

Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.33 Average
NCAAe PPG
Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.33 Developing
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Devin Loe
NAHL · 2012-13 · 0.85 PPG
→ Miami (0.71 D1 FR PPG)
0.31 Strong
NCAAe PPG
Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.36 Developing
NCAAe PPG

D2/3 Comparables

Beau Moyer
Wisconsin-Superior · 2000-01
0.708 Strong
actual D2/3 PPG
Scott Hudson
Manhattanville · 2007-08
1.231 Elite
actual D2/3 PPG
Boyd Stahlbaum
Wisconsin-Stout · 2022-23
1.111 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.