IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Brandon Crowther Elite Prospects ↗

Position: Forward DOB: 1999-06-18 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
2015-16 Northern Cyclones EHLP 1 0 0 0 0.000 — — — —
2017-18 Valley Jr. Warriors EHL 30 7 6 13 0.433 0.1001 0.1057 0.2120 0.2238
2018-19 — EHL 43 10 11 21 0.488 0.1128 0.1134 0.2390 0.2403
2019-20 Philadelphia Revolution EHL 35 10 24 34 0.971 0.2244 0.2244 0.4753 0.4753
■ 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 Post D2 NE10 SR 23 2 5 7 0.304
2022-23 Post D2 NE10 JR 27 5 6 11 0.407
2021-22 Post D2 NE10 SO 24 5 8 13 0.542
2020-21 Post D2 NE10 FR 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D2/D3
0%
Club / ACHA
42%
Other

NCAAe Rankings

#22374
Forward overall
#1108
Forward born in 1999

D1 Comparables

Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG

D2/3 Comparables

Taylor Gauld
Concordia · 2013-14
0.520 Average
actual D2/3 PPG
Zach Nicholls
Morrisville · 2022-23
0.208 Developing
actual D2/3 PPG
Adam Place
SUNY Potsdam · 2008-09
0.412 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.