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

Jacob Black Elite Prospects ↗

Position: Forward DOB: 1999-10-27 Country: Canada
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
2017-18 Cobourg Cougars OJHL 52 18 19 37 0.712 0.1744 0.1808 0.4899 0.5079
2018-19 Georgetown Raiders OJHL 28 2 8 10 0.357 0.0875 0.0864 0.2459 0.2429
■ 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 Morrisville D3 SUNYAC — 25 6 7 13 0.520
2023-24 SUNY Morrisville D3 SUNYAC — 25 6 7 13 0.520
2022-23 SUNY Morrisville D3 SUNYAC — 24 3 9 12 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.50
2022-23 · SUNY Morrisville
+370.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
10%
NCAA D2/D3
22%
Age-Out / Club
52%
Pro / Other

NCAAe Rankings

#36648
Forward overall
#2006
Forward born in 1999
#2198
in OJHL

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.13 No data
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG
Canon Pieper
USHL · 2012-13 · 0.28 PPG
→ Quinnipiac (0.08 D1 FR PPG)
0.16 Developing
NCAAe PPG

D2/3 Comparables

Mark Barton
Suffolk · 2015-16
0.400 Average
actual D2/3 PPG
Nick Ford
Elmira · 2014-15
0.800 Strong
actual D2/3 PPG
Chris Leone
Adrian · 2010-11
0.545 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.