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Derek Becklin Elite Prospects ↗

Position: Forward DOB: 2000-03-20 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 Minnesota Outlaws USPHL-Premier 42 13 9 22 0.524 0.0591 0.0605 0.1778 0.1819
2019-20 Minnesota Outlaws USPHL-Premier 44 18 15 33 0.750 0.0846 0.0846 0.2546 0.2546
2020-21 Minnesota Outlaws USPHL-Premier 43 24 26 50 1.163 0.1312 0.1312 0.3948 0.3948
■ 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
2024-25 Hamline D3 MIAC SR 18 1 0 1 0.056
2023-24 Hamline D3 MIAC JR 19 3 4 7 0.368
2022-23 Hamline D3 MIAC SO 22 1 2 3 0.136
2021-22 Hamline D3 MIAC FR 4 0 2 2 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.50
2021-22 · Hamline
+865.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

5%
NCAA D2/D3
0%
Club / ACHA
90%
Other

NCAAe Rankings

#16718
Forward overall
#731
Forward born in 2000
#1029
in USPHL-Premier

D1 Comparables

Ryan McMurphy
USHL · 2012-13 · 0.14 PPG
→ Bentley (0.39 D1 FR PPG)
0.08 Average
NCAAe PPG
David Parrottino
USHL · 2012-13 · 0.14 PPG
→ Canisius
0.08 No data
NCAAe PPG
Ben Storm
USHL · 2012-13 · 0.23 PPG
→ St. Cloud State (0.03 D1 FR PPG)
0.14 Developing
NCAAe PPG
Jordan Boucher
USHL · 2012-13 · 0.23 PPG
→ Clarkson (0.28 D1 FR PPG)
0.13 Developing
NCAAe PPG
Brad Hawkinson
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG

D2/3 Comparables

Henry Molson
Colby · 2018-19
0.333 Developing
actual D2/3 PPG
Grady Friedman
UMass Boston · 2018-19
0.320 Developing
actual D2/3 PPG
Emmet Powell
Wesleyan · 2018-19
0.346 Developing
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.