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

Billy Berry Elite Prospects ↗

Position: Forward DOB: 1999-06-04 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
2018-19 Charlotte Rush USPHL-Premier 40 29 27 56 1.400 0.4614 0.4537 0.4763 0.4683
■ 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
2023-24 Wilkes D3 MAC GR 27 12 19 31 1.148
2022-23 Wilkes D3 MAC SR 26 7 5 12 0.462
2021-22 Wilkes D3 MAC JR 24 1 6 7 0.292
2020-21 Wilkes D1 — SO 11 1 2 3 0.273
2020-21 Wilkes D3 MAC SO 11 1 2 3 0.273
2019-20 Wilkes D1 — FR 27 3 8 11 0.407
2019-20 Wilkes D3 MAC FR 27 3 8 11 0.407
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.39
before college
→
Actual FR PPG
0.41
2019-20 · Wilkes
+4.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

12%
NCAA D2/D3
0%
Club / ACHA
45%
Other

NCAAe Rankings

#6506
Forward overall
#271
Forward born in 1999
#206
in USPHL-Premier

D1 Comparables

Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.44 Developing
NCAAe PPG
Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.43 Developing
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.49 Average
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.45 Developing
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.42 Developing
NCAAe PPG

D2/3 Comparables

Trevor Coykendall
Adrian · 2016-17
0.500 Average
actual D2/3 PPG
Mike Cox
Wentworth · 2010-11
0.778 Strong
actual D2/3 PPG
Matt Lamirande
Wisconsin-Superior · 2004-05
0.381 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.