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Hunter McDonald Elite Prospects ↗

Position: Defense DOB: 2002-05-11 Country: USA
2022 · Round 6, Pick #165  ·  Philadelphia Flyers Philadelphia Flyers
Signed Professionally

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
2019-20 — NAHL 7 1 1 2 0.286 0.1050 0.1050 0.3016 0.3016
2020-21 — USHL 36 2 3 5 0.139 0.0819 0.0819 0.4172 0.4172
2021-22 — USHL 54 4 10 14 0.259 0.1530 0.1459 0.7788 0.7425
■ 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 Northeastern D1 HockeyEast — 23 1 5 6 0.261
2022-23 Northeastern D1 HockeyEast — 35 1 13 14 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.40
2022-23 · Northeastern
+190.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
10%
NCAA D2/D3
28%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

D1 Comparables

Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average 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
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.20 Average D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.13 Average D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.25 Average D
NCAAe PPG

D2/3 Comparables

Asa Palker
Castleton · 2016-17
0.458 Average
actual D2/3 PPG
Noah Gibbs
Endicott · 2023-24
0.929 Strong
actual D2/3 PPG
Matt Dahlseide
Wisconsin-Stout · 2018-19
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.