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Anthony Romano Elite Prospects ↗

Position: Forward DOB: 2000-10-07 Country: Canada
2019 · Round 6, Pick #176  ·  Utah Mammoth Utah Mammoth (via ARI)
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
2016-17 Newmarket Hurricanes OJHL 1 0 0 0 0.000 — — — —
2017-18 Aurora Tigers OJHL 40 18 26 44 1.100 0.2696 0.2923 0.7574 0.8210
2018-19 Sioux Falls Stampede USHL 60 26 21 47 0.783 0.4621 0.4734 2.3526 2.4102
■ 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 GR 27 10 15 25 0.926
2022-23 Clarkson D1 ECAC SR 19 9 6 15 0.789
2021-22 Clarkson D1 ECAC JR 37 15 13 28 0.757
2020-21 Clarkson D1 ECAC SO 22 9 5 14 0.636
2019-20 Clarkson D1 ECAC FR 33 6 4 10 0.303
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.30
2019-20 · Clarkson
-11.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

98%
NCAA D1
0%
NCAA D2/D3
2%
Pro / Other

NCAAe Rankings

#8386
Forward overall
#352
Forward born in 2000

D1 Comparables

Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.48 Average
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.41 Developing
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.39 Developing
NCAAe PPG
Alex Roos
USHL · 2012-13 · 0.73 PPG
→ Colorado College (0.49 D1 FR PPG)
0.44 Average
NCAAe PPG
C.J. Smith
NAHL · 2012-13 · 0.98 PPG
→ UMass Lowell (0.90 D1 FR PPG)
0.38 Elite
NCAAe PPG

D2/3 Comparables

Nick Ford
Elmira · 2014-15
0.800 Strong
actual D2/3 PPG
Joseph Fiorino
Southern New Hampshire · 2016-17
0.593 Average
actual D2/3 PPG
Jason Kalinowski
Endicott · 2015-16
1.310 Elite
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.