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Ben MacDonald Elite Prospects ↗

Position: Forward DOB: 2004-02-24 Country: USA
2022 · Round 3, Pick #91  ·  Seattle Kraken Seattle Kraken
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
2019-20 Noble & Greenough NE-Prep 27 0 2 2 0.074 0.0147 0.0147 0.0338 0.0338
2021-22 Noble & Greenough NE-Prep 26 14 14 28 1.077 0.2133 0.2133 0.4906 0.4906
2022-23 — BCHL 52 23 27 50 0.962 0.3705 0.3754 1.3993 1.4178
■ 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
2025-26 Harvard D1 ECAC — 23 6 4 10 0.435
2024-25 Harvard D1 ECAC SO 27 5 11 16 0.593
2023-24 Harvard D1 ECAC FR 32 5 10 15 0.469
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.47
2023-24 · Harvard
+76.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
0%
NCAA D2/D3
5%
Age-Out / Club
48%
Pro / Other

NCAAe Rankings

#19613
Forward overall
#1024
Forward born in 2004

D1 Comparables

Cam Darcy
USHL · 2012-13 · 0.69 PPG
→ Northeastern (0.22 D1 FR PPG)
0.40 Developing
NCAAe PPG
Jared Thomas
USHL · 2012-13 · 0.69 PPG
→ Minnesota Duluth (0.33 D1 FR PPG)
0.40 Developing
NCAAe PPG
Jake Randolph
USHL · 2012-13 · 0.69 PPG
→ Nebraska Omaha (0.67 D1 FR PPG)
0.40 Strong
NCAAe PPG
Willem Nong-Lambert
USHL · 2012-13 · 0.59 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.35 Developing
NCAAe PPG
Christian Heil
USHL · 2012-13 · 0.62 PPG
→ Colorado College (0.04 D1 FR PPG)
0.36 Developing
NCAAe PPG

D2/3 Comparables

Ryan Bloom
University of New England · 2011-12
1.654 Elite
actual D2/3 PPG
Nicholas Stevens
Wisconsin-Stout · 2020-21
0.826 Strong
actual D2/3 PPG
Neil Trimm
Neumann · 2001-02
1.800 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.