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Sam Frandina Elite Prospects ↗

Position: Defense DOB: 2004-04-08 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 Chippewa Steel NAHL 43 6 17 23 0.535 0.2119 0.2309 0.5616 0.6120
2022-23 Madison Capitols USHL 19 1 6 7 0.368 0.2265 0.2258 1.0854 1.0821
2023-24 Coquitlam Express BCHL 45 5 16 21 0.467 0.1738 0.1692 0.6800 0.6619
2024-25 Coquitlam Express BCHL 52 9 25 34 0.654 0.2435 0.2248 0.9527 0.8794
■ 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 St. Lawrence D1 ECAC FR 31 2 6 8 0.258
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.26
2025-26 · St. Lawrence
+35.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
8%
NCAA D2/D3
42%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#5695
Defenseman overall
#1444
Defenseman born in 2004

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG

D2/3 Comparables

Shane Remenda
SUNY Plattsburgh · 2002-03
0.655 Strong
actual D2/3 PPG
Dennis Sicard
Buffalo State · 2005-06
0.643 Average
actual D2/3 PPG
Andy Willock
SUNY Plattsburgh · 2005-06
0.727 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.