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Giovanni Ursillo Elite Prospects ↗

Position: Forward DOB: 2003-10-07 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 Ogden Mustangs USPHL-Premier 45 8 13 21 0.467 0.0610 0.0610 0.1584 0.1584
2021-22 Ogden Mustangs USPHL-Premier 46 7 9 16 0.348 0.0455 0.0479 0.1180 0.1243
2022-23 H.C. Rhode Island EHL 39 5 9 14 0.359 0.0829 0.0857 0.1757 0.1816
2023-24 H.C. Rhode Island EHL 42 11 17 28 0.667 0.1540 0.1514 0.3262 0.3206
■ 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 Franklin Pierce D2 NE10 — 30 1 9 10 0.333
2024-25 Franklin Pierce D2 NE10 — 27 2 3 5 0.185
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.19
2024-25 · Franklin Pierce
+72.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D2/D3
5%
Club / ACHA
0%
Other

NCAAe Rankings

#33060
Forward overall
#2002
Forward born in 2003

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG

D2/3 Comparables

Trevor John
Tufts · 2008-09
0.800 Strong
actual D2/3 PPG
Daniel Golba
SUNY Morrisville · 2015-16
0.000 No data
actual D2/3 PPG
David Becker
Bethel · 2014-15
0.286 Developing
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.