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Brendan Furry Elite Prospects ↗

Position: Forward DOB: 1998-07-08 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
2016-17 Amarillo Bulls NAHL 7 2 1 3 0.429 0.1575 0.1644 0.4524 0.4724
2017-18 Omaha Lancers USHL 59 17 23 40 0.678 0.4000 0.3854 2.0363 1.9621
2018-19 — USHL 52 21 36 57 1.096 0.6466 0.5897 3.2923 3.0023
■ 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
2022-23 Minnesota State D1 BigTen — 39 9 19 28 0.718
2021-22 Minnesota State D1 CCHA — 44 13 31 44 1.000
2020-21 Minnesota State D1 WCHA SO 28 5 8 13 0.464
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.47
before college
→
Actual FR PPG
0.46
2020-21 · Minnesota State
-1.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

88%
NCAA D1
2%
NCAA D2/D3
10%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#4471
Forward overall
#208
Forward born in 1998

D1 Comparables

Mike Szmatula
USHL · 2012-13 · 1.21 PPG
→ Northeastern (1.05 D1 FR PPG)
0.65 Elite
NCAAe PPG
Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota State (0.15 D1 FR PPG)
0.49 Developing
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.46 Developing
NCAAe PPG
Tim Bonner
USHL · 2012-13 · 0.89 PPG
→ Yale
0.48 No data
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG

D2/3 Comparables

Gus Katsuras
Hamilton · 2001-02
1.400 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2018-19
1.448 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2004-05
1.704 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.