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Tyler Husted Elite Prospects ↗

Position: Forward DOB: 2004-09-09 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
2022-23 Metro Jets USPHL-Premier 41 15 21 36 0.878 0.1152 0.1210 0.2981 0.3132
2023-24 Metro Jets USPHL-Premier 37 14 31 45 1.216 0.1596 0.1600 0.4129 0.4138
■ 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 Grand Valley State University ACHA_D1 — — 21 2 5 7 0.333
2024-25 Grand Valley State University ACHA_D1 — — 21 2 5 7 0.333
2023-24 Grand Valley State University ACHA_D1 — — 21 2 5 7 0.333
2022-23 Grand Valley State University ACHA_D1 — — 21 2 5 7 0.333
2021-22 Grand Valley State University ACHA_D1 — — 21 2 5 7 0.333
2020-21 Grand Valley State University ACHA_D1 — — 21 2 5 7 0.333

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D2/D3
0%
Club / ACHA
28%
Other

NCAAe Rankings

#12030
Forward overall
#531
Forward born in 2004
#581
in USPHL-Premier

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Landon Smith
USHL · 2012-13 · 0.39 PPG
→ Quinnipiac (0.79 D1 FR PPG)
0.22 Strong
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
C.J. Reuschlein
NAHL · 2012-13 · 0.80 PPG
→ Army (0.67 D1 FR PPG)
0.29 Strong
NCAAe PPG

D2/3 Comparables

Alex Valenti
St. Scholastica · 2008-09
0.577 Average
actual D2/3 PPG
Mike Demarchi
Neumann · 2004-05
0.333 Developing
actual D2/3 PPG
Andrew Love
Neumann · 2007-08
0.650 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.