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Tyler Catalano Elite Prospects ↗

Position: Forward DOB: 2004-02-26 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
2020-21 Youngstown Phantoms USHL 2 0 0 0 0.000 — — — —
2021-22 Youngstown Phantoms USHL 52 1 10 11 0.211 0.1248 0.1302 0.6352 0.6627
2022-23 Youngstown Phantoms USHL 59 8 5 13 0.220 0.1300 0.1289 0.6616 0.6558
■ 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 Cornell D1 ECAC JR 34 2 1 3 0.088
2024-25 Cornell D1 ECAC SO 36 2 4 6 0.167
2023-24 Cornell D1 ECAC FR 24 1 4 5 0.208
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.21
2023-24 · Cornell
+88.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
15%
NCAA D2/D3
12%
Age-Out / Club
35%
Pro / Other

NCAAe Rankings

#40055
Forward overall
#2574
Forward born in 2004
#3491
in USHL

D1 Comparables

Jordan Boucher
USHL · 2012-13 · 0.23 PPG
→ Clarkson (0.28 D1 FR PPG)
0.13 Developing
NCAAe PPG
David Parrottino
USHL · 2012-13 · 0.14 PPG
→ Canisius
0.08 No data
NCAAe PPG
Ben Storm
USHL · 2012-13 · 0.23 PPG
→ St. Cloud State (0.03 D1 FR PPG)
0.14 Developing
NCAAe PPG
Seth Adams
USHL · 2012-13 · 0.26 PPG
→ Ferris State (0.14 D1 FR PPG)
0.15 Developing
NCAAe PPG
Tim Lappin
USHL · 2012-13 · 0.24 PPG
→ Brown (0.50 D1 FR PPG)
0.14 Average
NCAAe PPG

D2/3 Comparables

Tim Kielich
SUNY Brockport · 2012-13
1.192 Elite
actual D2/3 PPG
Shannon McNevan
Bowdoin · 2000-01
0.462 Average
actual D2/3 PPG
Brendan Fennell
Tufts · 2021-22
0.632 Average
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.