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Eric Ciccolini Elite Prospects ↗

Position: Forward DOB: 2001-01-14 Country: Canada
2019 · Round 7, Pick #205  ·  New York Rangers New York Rangers
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 — OJHL 47 17 13 30 0.638 0.1564 0.1717 0.4395 0.4824
2018-19 Newmarket Hurricanes OJHL 48 27 35 62 1.292 0.3166 0.3320 0.8893 0.9325
■ 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
2023-24 Clarkson D1 ECAC — 34 8 8 16 0.471
2022-23 Michigan D1 BigTen — 31 7 4 11 0.355
2021-22 Michigan D1 BigTen — 4 0 0 0 0.000
2020-21 Michigan D1 BigTen SO 24 7 5 12 0.500
2019-20 Michigan D1 BigTen FR 26 1 10 11 0.423
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.42
2019-20 · Michigan
+84.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

50%
NCAA D1
0%
NCAA D2/D3
50%
Pro / Other

NCAAe Rankings

#15499
Forward overall
#731
Forward born in 2001
#498
in OJHL

D1 Comparables

Drew Melanson
USHL · 2012-13 · 0.48 PPG
→ RPI (0.56 D1 FR PPG)
0.29 Strong
NCAAe PPG
Evan Allen
USHL · 2012-13 · 0.62 PPG
→ Michigan (0.26 D1 FR PPG)
0.38 Developing
NCAAe PPG
Jake Jackson
USHL · 2012-13 · 0.50 PPG
→ Michigan Tech (0.09 D1 FR PPG)
0.30 Developing
NCAAe PPG
C.J. Smith
NAHL · 2012-13 · 0.98 PPG
→ UMass Lowell (0.90 D1 FR PPG)
0.38 Elite
NCAAe PPG
Garrett Gamez
USHL · 2012-13 · 0.39 PPG
→ Providence (0.25 D1 FR PPG)
0.24 Developing
NCAAe PPG

D2/3 Comparables

Travis Janke
Norwich · 2007-08
1.258 Elite
actual D2/3 PPG
Tom Bark
Lake Forest · 2007-08
1.120 Elite
actual D2/3 PPG
Shane Wheeler
St. Norbert · 2004-05
0.903 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.