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

Brett Szajner Elite Prospects ↗

Position: Defense DOB: 1993-10-29 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
2011-12 Jamestown Ironmen NAHL 37 4 5 9 0.243 0.0864 0.0917 0.2553 0.2709
2012-13 Jamestown Ironmen NAHL 52 3 9 12 0.231 0.0820 0.0829 0.2423 0.2449
2013-14 Amarillo Bulls NAHL 58 3 24 27 0.466 0.1653 0.1588 0.4887 0.4695
■ 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
2017-18 Utica D3 UCHC SR 27 3 14 17 0.630
2016-17 Utica D3 UCHC JR 11 2 5 7 0.636
2015-16 Utica D3 UCHC SO 28 2 10 12 0.429
2014-15 Utica D3 UCHC FR 24 3 2 5 0.208
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.21
2014-15 · Utica
+71.9% vs. projection

NCAAe Rankings

#12310
Defenseman overall
#1411
Defenseman born in 1993
#4145
in NAHL

D1 Comparables

Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.22 No data
NCAAe PPG
Benjamin Gallacher
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.50 D1 FR PPG)
0.24 Elite D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG

D2/3 Comparables

Camden Markham
Wisconsin-Stevens Point · 2024-25
0.583 Average
actual D2/3 PPG
Andrew Klin
Buffalo State · 2008-09
0.600 Average
actual D2/3 PPG
Scott Taje
Lake Forest · 2002-03
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.