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Blake Bechen Elite Prospects ↗

Position: Forward DOB: 2005-01-25 Country: USA
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
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
2022-23 Youngstown Phantoms USHL 36 4 8 12 0.333 0.1966 0.2039 0.9820 1.0183
2023-24 Green Bay Gamblers USHL 60 22 25 47 0.783 0.4621 0.4562 2.3078 2.2785
■ 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 Minnesota Duluth D1 NCHC SO 28 0 4 4 0.143
2024-25 Minnesota D1 BigTen — 34 5 4 9 0.265
2024-25 Minnesota Duluth D1 NCHC — 34 5 4 9 0.265
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.26
2024-25 · Minnesota
-13.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

98%
NCAA D1
0%
NCAA D2/D3
2%
Pro / Other

NCAAe Rankings

#10543
Forward overall
#483
Forward born in 2005
#989
in USHL

D1 Comparables

Adam Gilmour
USHL · 2012-13 · 0.73 PPG
→ Boston College (0.50 D1 FR PPG)
0.43 Average
NCAAe PPG
Ryan Papa
USHL · 2012-13 · 0.72 PPG
→ St. Cloud State (0.59 D1 FR PPG)
0.42 Strong
NCAAe PPG
Dave Gust
USHL · 2012-13 · 0.77 PPG
→ Ohio State (0.38 D1 FR PPG)
0.45 Average
NCAAe PPG
Zeb Knutson
USHL · 2012-13 · 0.82 PPG
→ Minnesota State (0.33 D1 FR PPG)
0.48 Developing
NCAAe PPG
Jared Thomas
USHL · 2012-13 · 0.69 PPG
→ Minnesota Duluth (0.33 D1 FR PPG)
0.40 Developing
NCAAe PPG

D2/3 Comparables

Tyler Barrow
Wilkes · 2016-17
1.385 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2017-18
1.448 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2022-23
1.120 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.