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Christian Catalano Elite Prospects ↗

Position: Forward DOB: 2003-05-23 Country: Canada
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
2018-19 Mississauga Chargers OJHL 1 0 0 0 0.000 — — — —
2019-20 Caledon Admirals OJHL 5 2 0 2 0.400 0.1202 0.1202 0.2738 0.2738
2020-21 Newmarket Hurricanes OJHL 0 0 0 0 0.000 — — — —
2021-22 Newmarket Hurricanes OJHL 52 34 39 73 1.404 0.4217 0.4303 0.9609 0.9805
2022-23 Maryland Black Bears NAHL 59 30 27 57 0.966 0.3828 0.3815 1.0143 1.0109
■ 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 RIT D1 AHA JR 36 10 12 22 0.611
2024-25 RIT D1 AHA JR 33 7 16 23 0.697
2023-24 RIT D1 AHA SO 36 9 8 17 0.472
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.47
2023-24 · RIT
+37.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
5%
NCAA D2/D3
18%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#8848
Forward overall
#367
Forward born in 2003

D1 Comparables

Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.43 Developing
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.44 Developing
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.42 Developing
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.45 Developing
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.33 Average
NCAAe PPG

D2/3 Comparables

Jack Hatton
Saint Mary's (MN) · 2016-17
0.600 Average
actual D2/3 PPG
Bryan Yim
Adrian · 2013-14
1.138 Elite
actual D2/3 PPG
Andy Willock
SUNY Plattsburgh · 2004-05
0.727 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.