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Brenden MacLaren Elite Prospects ↗

Position: Forward DOB: 1998-11-30 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
2015-16 Janesville Jets NAHL 2 0 1 1 0.500 0.1837 0.2054 0.5278 0.5902
2016-17 Janesville Jets NAHL 29 3 3 6 0.207 0.0760 0.0809 1.5017 1.5513
2017-18 Janesville Jets NAHL 43 15 15 30 0.698 0.2563 0.2600 0.7364 0.7471
2018-19 — NAHL 58 17 20 37 0.638 0.2344 0.2273 0.6733 0.6529
■ 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
2023-24 Ferris State D1 CCHA GR 27 0 2 2 0.074
2022-23 Ferris State D1 CCHA SR 35 4 11 15 0.429
2021-22 Ferris State D1 CCHA JR 23 1 4 5 0.217
2020-21 Ferris State D1 WCHA SO 12 1 0 1 0.083
2019-20 Ferris State D1 WCHA FR 29 3 2 5 0.172
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.17
2019-20 · Ferris State
-16.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D1
5%
NCAA D2/D3
45%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#24748
Forward overall
#1200
Forward born in 1998
#1953
in NAHL

D1 Comparables

Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.34 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

Tye Battipaglia
Fitchburg State · 2024-25
1.160 Elite
actual D2/3 PPG
Dan Law
Manhattanville · 2001-02
0.731 Strong
actual D2/3 PPG
Rhett Evjen
Stevenson · 2022-23
0.500 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.