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Anthony Romani Elite Prospects ↗

Position: Forward DOB: 2005-07-12 Country: Canada
2024 · Round 6, Pick #162  ·  Vancouver Canucks Vancouver Canucks
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
2021-22 — OHL 54 8 6 14 0.259 0.1500 0.1652 0.6663 0.7336
2022-23 — OHL 66 23 20 43 0.651 0.3769 0.3987 1.6740 1.7708
2023-24 — OHL 68 58 53 111 1.632 0.9443 0.9537 4.1945 4.2362
2024-25 North Bay Battalion OHL 35 21 14 35 1.000 0.5785 0.5544 2.5695 2.4624
■ 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 Michigan State D1 BigTen FR 37 14 14 28 0.757
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.66
before college
→
Actual FR PPG
0.76
2025-26 · Michigan State
+13.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
0%
NCAA D2/D3
22%
Age-Out / Club
62%
Pro / Other

NCAAe Rankings

#3467
Forward overall
#58
Forward born in 2005
#137
in OHL

D1 Comparables

J.T. Stenglein
USHL · 2012-13 · 1.04 PPG
→ Michigan (0.07 D1 FR PPG)
0.59 Developing
NCAAe PPG
Sam Anas
USHL · 2012-13 · 0.98 PPG
→ Quinnipiac (1.07 D1 FR PPG)
0.55 Elite
NCAAe PPG
Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.56 Developing
NCAAe PPG
Riley Bourbonnais
USHL · 2012-13 · 0.78 PPG
→ RPI (0.11 D1 FR PPG)
0.44 Developing
NCAAe PPG
Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.53 Average
NCAAe PPG

D2/3 Comparables

Nick Ford
Elmira · 2014-15
0.800 Strong
actual D2/3 PPG
Sascha Figi
Fitchburg State · 2016-17
1.429 Elite
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.