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

Brendan Schulte Elite Prospects ↗

Position: Forward DOB: 1998-06-30 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
2017-18 Northern Cyclones USPHL-Premier 36 13 16 29 0.806 0.1084 0.1073 0.2742 0.2714
2018-19 Northern Cyclones USPHL-Premier 44 26 44 70 1.591 0.2141 0.2006 0.5415 0.5073
■ 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
2019-20 SUNY Plattsburgh D3 — FR 17 0 4 4 0.235
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.24
2019-20 · SUNY Plattsburgh
+68.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#24307
Forward overall
#992
Forward born in 1998
#405
in USPHL-Premier

D1 Comparables

Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG
Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG

D2/3 Comparables

Jon Panisa
St. Olaf · 2021-22
0.667 Strong
actual D2/3 PPG
Nick Guiney
Concordia Wisconsin · 2016-17
0.731 Strong
actual D2/3 PPG
Reid Watson
Saint Mary's · 2024-25
0.429 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.