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

J.T. Stenglein Elite Prospects ↗

Position: Forward DOB: 1993-07-11 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
2010-11 Youngstown Phantoms USHL 42 1 2 3 0.071 0.0421 0.0445 0.2144 0.2266
2011-12 Youngstown Phantoms USHL 56 31 20 51 0.911 0.5372 0.5427 2.7352 2.7633
2012-13 — USHL 53 24 31 55 1.038 0.6121 0.5858 3.1166 2.9828
■ 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
2016-17 Michigan D1 BigTen — 15 3 0 3 0.200
2015-16 Michigan D1 BigTen — 34 8 14 22 0.647
2014-15 Michigan D1 BigTen — 23 2 2 4 0.174
2013-14 Michigan D1 BigTen — 15 1 0 1 0.067
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.53
before college
→
Actual FR PPG
0.07
2013-14 · Michigan
-87.4% vs. projection

NCAAe Rankings

#6351
Forward overall
#286
Forward born in 1993
#405
in USHL

D1 Comparables

Sam Anas
USHL · 2012-13 · 0.98 PPG
→ Quinnipiac (1.07 D1 FR PPG)
0.55 Elite
NCAAe PPG
Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.56 Developing
NCAAe PPG
Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.53 Average
NCAAe PPG
Riley Bourbonnais
USHL · 2012-13 · 0.78 PPG
→ RPI (0.11 D1 FR PPG)
0.44 Developing
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.48 Average
NCAAe PPG

D2/3 Comparables

Gus Katsuras
Hamilton · 2001-02
1.400 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2002-03
1.704 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2018-19
1.448 Elite
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.