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Jared Patterson Elite Prospects ↗

Position: Defense DOB: 1999-07-30 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 Kemptville 73's CCHL 46 7 7 14 0.304 0.0660 0.0679 0.2354 0.2420
2018-19 Kemptville 73's CCHL 59 9 20 29 0.491 0.1066 0.1049 0.3802 0.3740
2019-20 Kemptville 73's CCHL 60 13 27 40 0.667 0.1446 0.1446 0.5157 0.5157
■ 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 Hobart D3 SUNYAC SR 30 2 14 16 0.533
2022-23 Hobart D3 SUNYAC JR 31 1 11 12 0.387
2021-22 Hobart D3 SUNYAC SO 20 0 6 6 0.300
2020-21 Hobart D3 SUNYAC FR 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
5%
NCAA D2/D3
20%
Age-Out / Club
28%
Pro / Other

NCAAe Rankings

#9025
Defenseman overall
#1801
Defenseman born in 1999
#780
in CCHL

D1 Comparables

Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG

D2/3 Comparables

Trent DeNuccio
SUNY Geneseo · 2018-19
0.500 Average
actual D2/3 PPG
Blake Arneson
Saint Mary's (MN) · 2021-22
0.250 Developing
actual D2/3 PPG
Garrett Hallford
Trine · 2016-17
0.960 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.