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Sam Kauppila Elite Prospects ↗

Position: Forward DOB: 1996-05-12 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
2012-13 U.S. National U17 Team NTDP-U18 7 1 0 1 0.143 0.1062 0.1090 0.5332 0.5474
2013-14 Austin Bruins NAHL 42 10 5 15 0.357 0.1312 0.1427 0.3769 0.4098
2014-15 Green Bay Gamblers USHL 51 3 7 10 0.196 0.1157 0.1160 0.5890 0.5907
2015-16 Lincoln Stars USHL 49 4 10 14 0.286 0.1685 0.1612 0.8581 0.8207
■ 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
2019-20 Bentley D1 AHA JR 2 0 0 0 0.000
2018-19 Bentley D1 AHA SO 5 0 1 1 0.200
2016-17 St. Lawrence D1 ECAC FR 11 0 1 1 0.091
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.09
2016-17 · St. Lawrence
-25.8% vs. projection

NCAAe Rankings

#36664
Forward overall
#1590
Forward born in 1996

D1 Comparables

Matthew Hansen
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.14 Developing
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.21 Developing
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG

D2/3 Comparables

Orrin Hergott
St. Norbert · 2001-02
0.839 Strong
actual D2/3 PPG
Austin Miller
UMass Dartmouth · 2017-18
0.963 Strong
actual D2/3 PPG
Cam Doull
Lake Forest · 2001-02
0.893 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.