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Matt MacDonald Elite Prospects ↗

Position: Forward DOB: 2002-04-16 Country: USA
No commitment set

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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 Fargo Force USHL 6 0 0 0 0.000 — — — —
2020-21 Lone Star Brahmas NAHL 50 7 6 13 0.260 0.0924 0.0924 0.2730 0.2730
2021-22 Lone Star Brahmas NAHL 19 3 1 4 0.210 0.0748 0.0741 0.2210 0.2190
2022-23 Lone Star Brahmas NAHL 53 15 13 28 0.528 0.1877 0.1767 0.5547 0.5223
■ 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 Colby D3 NESCAC GR 24 6 4 10 0.417
2024-25 Colby D3 NESCAC SR 22 5 4 9 0.409
2023-24 Colby D3 NESCAC JR 24 3 10 13 0.542
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.54
2023-24 · Colby
+366.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
18%
NCAA D2/D3
52%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#37464
Forward overall
#2312
Forward born in 2002

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG

D2/3 Comparables

Will Bruce
Williams · 2003-04
0.600 Average
actual D2/3 PPG
Noah Bradley
Manhattanville · 2018-19
0.560 Average
actual D2/3 PPG
Jared Christy
New England · 2018-19
0.632 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.