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Roman Ahcan Elite Prospects ↗

Position: Forward DOB: 1999-03-24 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
2014-15 Burnsville High USHS-MN 17 1 2 3 0.176 0.0223 0.0235 0.0429 0.0451
2016-17 St. Cloud Norsemen NAHL 10 0 2 2 0.200 0.0735 0.0793 0.2111 0.2279
2017-18 Cedar Rapids RoughRiders USHL 59 15 23 38 0.644 0.3800 0.3796 1.9345 1.9326
■ 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
2021-22 Wisconsin D1 BigTen SR 34 5 7 12 0.353
2020-21 Wisconsin D1 BigTen JR 26 9 13 22 0.846
2019-20 Wisconsin D1 BigTen SO 33 14 11 25 0.758
2018-19 Wisconsin D1 BigTen FR 37 6 9 15 0.405
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.41
2018-19 · Wisconsin
+82.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

80%
NCAA D1
0%
NCAA D2/D3
20%
Pro / Other

NCAAe Rankings

#25965
Forward overall
#1317
Forward born in 1999

D1 Comparables

Christian Heil
USHL · 2012-13 · 0.62 PPG
→ Colorado College (0.04 D1 FR PPG)
0.36 Developing
NCAAe PPG
Ray Pigozzi
USHL · 2012-13 · 0.64 PPG
→ UMass (0.55 D1 FR PPG)
0.38 Average
NCAAe PPG
Daniel Milne
OHL · 2012-13 · 0.70 PPG
→ Michigan
0.40 No data
NCAAe PPG
Jake Randolph
USHL · 2012-13 · 0.69 PPG
→ Nebraska Omaha (0.67 D1 FR PPG)
0.40 Strong
NCAAe PPG
Willem Nong-Lambert
USHL · 2012-13 · 0.59 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

Justin Fox
Salem State · 2005-06
1.429 Elite
actual D2/3 PPG
Brycon Johnson
Bryn Athyn · 2014-15
0.778 Strong
actual D2/3 PPG
Donny Flynn
Wilkes · 2015-16
1.423 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.