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Sam Rice Elite Prospects ↗

Position: Forward DOB: 2003-12-31 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
2019-20 Prior Lake USHS-MN 27 11 17 28 1.037 0.1278 0.1278 0.2519 0.2519
2020-21 Prior Lake USHS-MN 19 15 16 31 1.632 0.2010 0.2010 0.3963 0.3963
2021-22 Chippewa Steel NAHL 15 4 6 10 0.667 0.2368 0.2548 0.7000 0.7533
2022-23 Chippewa Steel NAHL 57 28 30 58 1.018 0.3614 0.3712 1.0683 1.0972
2023-24 Madison Capitols USHL 60 9 10 19 0.317 0.1868 0.1744 0.9331 0.8713
■ 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 Gustavus Adolphus D3 MIAC SO 22 10 9 19 0.864
2024-25 Minnesota D1 BigTen — 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
15%
NCAA D2/D3
45%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#17984
Forward overall
#911
Forward born in 2003

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.27 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Jory McWilliams
Bethel · 2017-18
0.000 No data
actual D2/3 PPG
Chance Gorman
Elmira · 2018-19
0.800 Strong
actual D2/3 PPG
Patrick Jobb
SUNY Plattsburgh · 2008-09
0.556 Average
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.