IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Robert Holyoke Elite Prospects ↗

Position: Forward DOB: 1998-06-30 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
2016-17 South Shore Kings USPHL-Elite 31 11 15 26 0.839 0.0625 0.0648 0.1921 0.1992
2017-18 South Shore Kings USPHL-Premier 37 14 26 40 1.081 0.1219 0.1207 0.3678 0.3641
■ 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
2021-22 Assumption D2 NE10 — 30 14 13 27 0.900
2019-20 Assumption D1 — SO 25 14 11 25 1.000
2019-20 Assumption D2 NE10 — 25 14 11 25 1.000
2018-19 Assumption D1 — FR 25 12 5 17 0.680
2018-19 Assumption D2 NE10 — 25 12 5 17 0.680
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.68
2018-19 · Assumption
+707.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D2/D3
0%
Club / ACHA
78%
Other

NCAAe Rankings

#18706
Forward overall
#880
Forward born in 1998

D1 Comparables

Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG

D2/3 Comparables

Sean Williams
SUNY Oswego · 2023-24
0.000 No data
actual D2/3 PPG
Jered Stevenson
Lebanon Valley · 2018-19
0.667 Strong
actual D2/3 PPG
Victor Tracy
Fredonia · 2015-16
0.630 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.