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Ty Henricks Elite Prospects ↗

Position: Forward DOB: 2005-06-28 Country: USA
2023 NHL Draft Round 6, Pick #183  ·  New York Rangers New York Rangers
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
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
2022-23 — USHL 47 9 10 19 0.404 0.2485 0.2629 1.1911 1.2602
2023-24 Muskegon Lumberjacks USHL 60 17 15 32 0.533 0.3278 0.3305 1.5712 1.5843
■ 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 Western Michigan D1 NCHC SO 39 9 16 25 0.641
2024-25 Michigan D1 BigTen — 41 8 5 13 0.317
2024-25 Western Michigan D1 NCHC — 41 8 5 13 0.317
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.32
2024-25 · Michigan
+22.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

70%
NCAA D1
5%
NCAA D2/D3
18%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#16164
Forward overall
#849
Forward born in 2005
#1612
in USHL

D1 Comparables

Grant Besse
USHL · 2012-13 · 0.57 PPG
→ Wisconsin (0.39 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Steman
USHL · 2012-13 · 0.55 PPG
→ Michigan Tech (0.49 D1 FR PPG)
0.34 Average
NCAAe PPG
Jarrid Privitera
USHL · 2012-13 · 0.46 PPG
→ Vermont (0.33 D1 FR PPG)
0.29 Developing
NCAAe PPG
Jake Montgomery
USHL · 2012-13 · 0.57 PPG
→ Nebraska Omaha
0.35 No data
NCAAe PPG
Max Shuart
USHL · 2012-13 · 0.43 PPG
→ Michigan
0.26 No data
NCAAe PPG

D2/3 Comparables

Brett Gravelle
St. Thomas · 2014-15
0.923 Strong
actual D2/3 PPG
John Moncovich
Utica · 2016-17
0.864 Strong
actual D2/3 PPG
Scott Hudson
Manhattanville · 2007-08
1.231 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.