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Blake Matheson Elite Prospects ↗

Position: Defense DOB: 2005-06-06 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
2021-22 Olds Grizzlys AJHL 6 0 0 0 0.000 — — — —
2022-23 Olds Grizzlys AJHL 53 6 8 14 0.264 0.0886 0.0954 0.2445 0.2632
2023-24 Winkler Flyers MJHL 53 5 24 29 0.547 0.1053 0.1087 0.3451 0.3563
2024-25 Winkler Flyers MJHL 56 15 37 52 0.929 0.1788 0.1748 0.5856 0.5724
■ 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 Long Island Univ. D1 AHA FR 23 0 2 2 0.087
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.09
2025-26 · Long Island Univ.
-37.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
2%
NCAA D2/D3
18%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

#8029
Defenseman overall
#1863
Defenseman born in 2005

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 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
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.20 Average D
NCAAe PPG

D2/3 Comparables

Billy Berry
Wilkes · 2018-19
0.407 Average
actual D2/3 PPG
Leevi Kervinen
Anna Maria · 2018-19
0.000 No data
actual D2/3 PPG
Devan Sheth
Assumption · 2016-17
0.704 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.