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

Zach Sternbach Elite Prospects ↗

Position: Forward DOB: 1996-05-24 Country: Canada
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
2014-15 Mississauga Chargers OJHL 44 10 17 27 0.614 0.1714 0.1737 0.4234 0.4291
2015-16 — USPHL-Premier-Classic 39 16 28 44 1.128 0.3388 0.3413 0.9293 0.9363
■ 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 Hobart D3 SUNYAC SR 28 13 11 24 0.857
2018-19 Hobart D3 SUNYAC JR 30 8 15 23 0.767
2017-18 Hobart D3 SUNYAC SO 29 13 8 21 0.724
2016-17 Hobart D3 SUNYAC FR 27 9 10 19 0.704
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.70
2016-17 · Hobart
+199.7% vs. projection

NCAAe Rankings

#12759
Forward overall
#498
Forward born in 1996

D1 Comparables

Jay Dickman
NAHL · 2012-13 · 1.00 PPG
→ Bemidji State (0.17 D1 FR PPG)
0.37 Developing
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.36 Developing
NCAAe PPG
Garret Clemment
NAHL · 2012-13 · 0.93 PPG
→ Lake Superior State (0.43 D1 FR PPG)
0.34 Average
NCAAe PPG
Brett Skibba
NAHL · 2012-13 · 1.00 PPG
→ UConn (0.23 D1 FR PPG)
0.37 Developing
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Ryan Dunner
Fredonia · 2015-16
0.545 Average
actual D2/3 PPG
Chris Berry
Wisconsin-Superior · 2004-05
1.111 Elite
actual D2/3 PPG
Brian Depp
Elmira · 2010-11
0.636 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.