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Tyler Samson Elite Prospects ↗

Position: Forward DOB: 2003-03-11 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
2021-22 — USPHL-Premier 39 9 19 28 0.718 0.0939 0.0962 0.2437 0.2497
2022-23 — USPHL-Premier 36 10 12 22 0.611 0.0799 0.0779 0.2074 0.2023
■ 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 Saginaw Valley State University ACHA_D1 — — 30 11 12 23 0.767
2024-25 Saginaw Valley State University ACHA_D1 — — 30 11 12 23 0.767
2023-24 Saginaw Valley State University ACHA_D1 — — 30 11 12 23 0.767
2022-23 Saginaw Valley State University ACHA_D1 — — 30 11 12 23 0.767
2021-22 Saginaw Valley State University ACHA_D1 — — 30 11 12 23 0.767
2020-21 Saginaw Valley State University ACHA_D1 — — 30 11 12 23 0.767

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D2/D3
0%
Club / ACHA
45%
Other

NCAAe Rankings

#26037
Forward overall
#1462
Forward born in 2003
#1907
in USPHL-Premier

D1 Comparables

Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG

D2/3 Comparables

Matt McNair
Adrian · 2014-15
0.379 Average
actual D2/3 PPG
Cameron Choate
Aurora · 2013-14
0.273 Developing
actual D2/3 PPG
Connor Inger
New England College · 2016-17
0.692 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.