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Griffen Sanom Elite Prospects ↗

Position: Forward DOB: 2000-05-03 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
2017-18 St. Cloud Norsemen NAHL 25 2 1 3 0.120 0.0441 0.0479 0.1267 0.1376
2018-19 Utica Jr. Comets NCDC 48 13 19 32 0.667 0.2718 0.2814 0.5359 0.5548
2019-20 New Mexico Ice Wolves NAHL 52 8 16 24 0.462 0.1696 0.1696 0.4871 0.4871
2020-21 — NAHL 42 7 10 17 0.405 0.1487 0.1487 0.4273 0.4273
■ 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
2024-25 Lake Forest D3 NCHA — 20 4 10 14 0.700
2023-24 Lake Forest D3 NCHA — 23 8 11 19 0.826
2022-23 Lake Forest D3 NCHA — 13 6 4 10 0.769
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.77
2022-23 · Lake Forest
+378.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D2/D3
0%
Club / ACHA
68%
Other

NCAAe Rankings

#24629
Forward overall
#1169
Forward born in 2000
#1944
in NAHL

D1 Comparables

Christian Lampasso
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.44 D1 FR PPG)
0.27 Average
NCAAe PPG
Max Coatta
USHL · 2012-13 · 0.50 PPG
→ Minnesota State (0.36 D1 FR PPG)
0.29 Average
NCAAe PPG
Tyler Pham
USHL · 2012-13 · 0.39 PPG
→ Army (0.91 D1 FR PPG)
0.23 Elite
NCAAe PPG
Jack Rowe
USHL · 2012-13 · 0.53 PPG
→ Arizona State (0.21 D1 FR PPG)
0.31 Developing
NCAAe PPG
Brian Morgan
USHL · 2012-13 · 0.53 PPG
→ Maine (0.35 D1 FR PPG)
0.31 Average
NCAAe PPG

D2/3 Comparables

Cam Doull
Lake Forest · 2000-01
0.893 Strong
actual D2/3 PPG
Trevor Cear
UMass Dartmouth · 2017-18
0.667 Strong
actual D2/3 PPG
Shane Baker
Skidmore · 2022-23
0.704 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.