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Eric Parker Elite Prospects ↗

Position: Defense DOB: 2001-01-15 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 Okotoks Oilers AJHL 4 0 0 0 0.000 — — — —
2018-19 Okotoks Oilers AJHL 57 5 25 30 0.526 0.1765 0.1858 0.4869 0.5124
2019-20 Okotoks Oilers AJHL 54 10 29 39 0.722 0.2422 0.2422 0.6682 0.6682
2020-21 Okotoks Oilers AJHL 8 1 8 9 1.125 0.3773 0.3773 1.0409 1.0409
■ 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
2024-25 Bowling Green D1 CCHA SR 36 1 9 10 0.278
2023-24 Bowling Green D1 CCHA JR 33 1 8 9 0.273
2022-23 Bowling Green D1 CCHA SO 8 1 3 4 0.500
2021-22 Bowling Green D1 CCHA FR 37 1 12 13 0.351
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.35
2021-22 · Bowling Green
+100.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#6286
Defenseman overall
#1407
Defenseman born in 2001
#773
in AJHL

D1 Comparables

Clint Lewis
USHL · 2012-13 · 0.30 PPG
→ Cornell (0.06 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Garrett Cecere
USHL · 2012-13 · 0.28 PPG
→ Colorado College (0.09 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Jack Stander
USHL · 2012-13 · 0.33 PPG
→ Canisius (0.17 D1 FR PPG)
0.20 Average D
NCAAe PPG
Mark Auk
USHL · 2012-13 · 0.29 PPG
→ Michigan Tech (0.50 D1 FR PPG)
0.18 Elite D
NCAAe PPG
Matt Roy
USHL · 2012-13 · 0.30 PPG
→ Michigan Tech (0.25 D1 FR PPG)
0.18 Average D
NCAAe PPG

D2/3 Comparables

Justin Todd
Lebanon Valley · 2002-03
0.750 Strong
actual D2/3 PPG
Eliot Grauer
Wisconsin-Stevens Point · 2010-11
0.583 Average
actual D2/3 PPG
Peter Izzo
Westfield State · 2016-17
0.000 No data
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.