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Brendan Schultz Elite Prospects ↗

Position: Forward DOB: 1998-02-03 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 Soo Eagles NOJHL 49 18 15 33 0.673 0.1125 0.1137 0.2804 0.2835
2017-18 NAHL 27 2 6 8 0.296 0.1089 0.1060 0.3127 0.3044
2018-19 Amarillo Wranglers NAHL 60 12 21 33 0.550 0.2021 0.1877 0.5805 0.5391
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 Elmira D3 UCHC 26 6 10 16 0.615
2021-22 Utica D3 UCHC GR 9 1 2 3 0.333
2020-21 Utica D1 UCHC SO 10 2 4 6 0.600
2020-21 Utica D3 UCHC SR 10 2 4 6 0.600
2019-20 Utica D1 UCHC FR 13 1 4 5 0.385
2019-20 Utica D3 UCHC JR 13 1 4 5 0.385
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
Actual FR PPG
0.38
2019-20 · Utica
+189.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
18%
NCAA D2/D3
38%
Age-Out / Club
2%
Pro / Other

NCAAe Rankings

#30438
Forward overall
#1508
Forward born in 1998

D1 Comparables

USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

New England College · 2015-16
1.115 Elite
actual D2/3 PPG
Manhattanville · 2014-15
0.739 Strong
actual D2/3 PPG
Bryn Athyn · 2016-17
0.600 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.