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Matt Kursonis Elite Prospects ↗

Position: Forward DOB: 2004-03-05 Country: USA
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
2018-19 St. Georges NE-Prep 30 4 6 10 0.333 0.0940 0.0940 0.1525 0.1525
2019-20 St. Georges NE-Prep 22 1 2 3 0.136 0.0385 0.0385 0.0624 0.0624
2021-22 St. Georges NE-Prep 25 20 5 25 1.000 0.2821 0.2821 0.4576 0.4576
2022-23 Alberni Valley Bulldogs BCHL 46 11 14 25 0.543 0.2025 0.2054 0.7919 0.8034
2023-24 Alberni Valley Bulldogs BCHL 27 15 14 29 1.074 0.4001 0.3876 1.5651 1.5161
■ 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 Holy Cross D1 AHA — 31 6 15 21 0.677
2024-25 Holy Cross D1 AHA — 27 10 15 25 0.926
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.93
2024-25 · Holy Cross
+243.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
5%
NCAA D2/D3
22%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#14724
Forward overall
#703
Forward born in 2004

D1 Comparables

Charlie O'Connor
USHL · 2012-13 · 0.64 PPG
→ Bemidji State (0.10 D1 FR PPG)
0.37 Developing
NCAAe PPG
Ben Foster
USHL · 2012-13 · 0.60 PPG
→ Princeton (0.30 D1 FR PPG)
0.35 Developing
NCAAe PPG
Cameron Brown
USHL · 2012-13 · 0.59 PPG
→ Maine (0.54 D1 FR PPG)
0.34 Average
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.46 Average
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.42 Developing
NCAAe PPG

D2/3 Comparables

Ryan Bloom
New England · 2012-13
1.654 Elite
actual D2/3 PPG
Paul Rodrigues
SUNY Oswego · 2008-09
0.893 Strong
actual D2/3 PPG
Tanner Congdon
Bryn Athyn · 2016-17
0.857 Strong
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.