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Jamie Engelbert Elite Prospects ↗

Position: Forward DOB: 2000-06-21 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 50 14 11 25 0.500 0.1226 0.1311 0.3443 0.3681
2018-19 Cobourg Cougars OJHL 47 20 24 44 0.936 0.2295 0.2342 0.6446 0.6577
■ 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 Providence D1 HockeyEast GR 28 7 4 11 0.393
2022-23 Providence D1 HockeyEast SR 37 5 5 10 0.270
2021-22 Providence D1 HockeyEast JR 38 7 11 18 0.474
2020-21 Providence D1 HockeyEast SO 23 3 0 3 0.130
2019-20 Providence D1 HockeyEast FR 19 2 1 3 0.158
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.16
2019-20 · Providence
-4.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
0%
NCAA D2/D3
62%
Pro / Other

NCAAe Rankings

#24482
Forward overall
#1161
Forward born in 2000
#1110
in OJHL

D1 Comparables

Alex Rauter
USHL · 2012-13 · 0.41 PPG
→ Cornell (0.40 D1 FR PPG)
0.24 Average
NCAAe PPG
Nikolas Olsson
USHL · 2012-13 · 0.39 PPG
→ Boston University (0.35 D1 FR PPG)
0.23 Average
NCAAe PPG
Nate Arentz
USHL · 2012-13 · 0.41 PPG
→ Bemidji State (0.35 D1 FR PPG)
0.24 Developing
NCAAe PPG
Max Shuart
USHL · 2012-13 · 0.43 PPG
→ Michigan
0.25 No data
NCAAe PPG
Adam Johnson
USHL · 2012-13 · 0.33 PPG
→ Minnesota Duluth (0.46 D1 FR PPG)
0.20 Average
NCAAe PPG

D2/3 Comparables

Omar Mullan
Milwaukee School of Engineering · 2011-12
1.286 Elite
actual D2/3 PPG
Jackson Arcan
SUNY Oswego · 2017-18
0.647 Average
actual D2/3 PPG
Danny Liscio
SUNY Morrisville · 2012-13
1.083 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.