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Sam Ciappa Elite Prospects ↗

Position: Forward DOB: 2005-12-09 Country: USA
⚠️ Aging Out 2025-26: Turns 20 before Dec 31, 2025 — final eligible junior season.
No commitment set

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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
2022-23 Canterbury NE-Prep 29 22 20 42 1.448 0.4086 0.4086 0.6627 0.6627
2023-24 Canterbury NE-Prep 33 23 21 44 1.333 0.3761 0.3761 0.6101 0.6101
2024-25 Mercer Chiefs NCDC 53 24 39 63 1.189 0.6628 0.6805 0.9612 0.9868
■ 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. John Fisher D3 UCHC FR 23 9 12 21 0.913
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.52
before college
→
Actual FR PPG
0.91
2025-26 · St. John Fisher
+75.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D2/D3
0%
Club / ACHA
18%
Other

NCAAe Rankings

#5195
Forward overall
#146
Forward born in 2005

D1 Comparables

Nathan Walker
USHL · 2012-13 · 0.93 PPG
→ Marian (0.21 D1 FR PPG)
0.56 Developing
NCAAe PPG
Peter Quenneville
USHL · 2012-13 · 1.11 PPG
→ Quinnipiac (0.80 D1 FR PPG)
0.68 Elite
NCAAe PPG
Dominic Toninato
USHL · 2012-13 · 1.09 PPG
→ Minnesota Duluth (0.43 D1 FR PPG)
0.67 Average
NCAAe PPG
Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.56 Average
NCAAe PPG
Frank Vatrano
USHL · 2012-13 · 1.00 PPG
→ UMass
0.61 No data
NCAAe PPG

D2/3 Comparables

Peter Magagna
SUNY Oswego · 2002-03
0.926 Strong
actual D2/3 PPG
Justin Ryan
SUNY Oswego · 2022-23
0.591 Average
actual D2/3 PPG
Arlen Marshall
Manhattanville · 2003-04
0.840 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.