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Tyler Stern Elite Prospects ↗

Position: Forward DOB: 2004-08-12 Country: USA
No commitment set

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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
2021-22 Philadelphia Rebels NAHL 4 1 0 1 0.250 0.0919 0.1017 0.2639 0.2921
2022-23 Philadelphia Rebels NAHL 56 9 17 26 0.464 0.1706 0.1805 0.4901 0.5184
2023-24 — NAHL 49 10 14 24 0.490 0.1800 0.1818 0.5170 0.5222
2024-25 Maryland Black Bears NAHL 46 14 22 36 0.783 0.2875 0.2753 0.8260 0.7910
■ 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
2025-26 Northern Michigan D1 CCHA FR 20 0 1 1 0.050
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.05
2025-26 · Northern Michigan
-75.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D1
10%
NCAA D2/D3
28%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#21626
Forward overall
#1182
Forward born in 2004
#1546
in NAHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.36 Developing
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
A.J. Reid
NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Matthew Headland
Canton · 2018-19
0.682 Strong
actual D2/3 PPG
Dallas Marvin
Bethel · 2014-15
0.640 Average
actual D2/3 PPG
Cody Keefer
St. Norbert · 2008-09
0.839 Strong
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.