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Nathan Delladonna Elite Prospects ↗

Position: Forward DOB: 2006-08-22 Country: USA
⚠️ Aging Out 2026-27: Turns 20 before Dec 31, 2026 — final eligible junior season.
RIT
AHA D1

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
2022-23 Des Moines Buccaneers USHL 1 0 0 0 0.000 — — — —
2023-24 Des Moines Buccaneers USHL 49 5 2 7 0.143 0.0843 0.0899 0.4292 0.4575
2024-25 Des Moines Buccaneers USHL 44 9 3 12 0.273 0.1609 0.1633 0.8190 0.8311
2025-26 Des Moines Buccaneers USHL 60 16 16 32 0.533 0.3146 0.3041 1.6017 1.5481
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

80%
NCAA D1
8%
NCAA D2/D3
8%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#25126
Forward overall
#1219
Forward born in 2006
#2427
in USHL

D1 Comparables

C.J. Reuschlein
NAHL · 2012-13 · 0.80 PPG
→ Army (0.67 D1 FR PPG)
0.29 Strong
NCAAe PPG
Max McHugh
NAHL · 2012-13 · 0.88 PPG
→ Alabama-Huntsville (0.61 D1 FR PPG)
0.32 Strong
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG
Judd Peterson
USHL · 2012-13 · 0.57 PPG
→ St. Cloud State (0.19 D1 FR PPG)
0.32 Developing
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.32 Average
NCAAe PPG

RIT Alumni similar profiles who attended this school

Will Calverley
BCHL 2017-18
0.43
actual FR PPG at RIT
Erik Brown
CCHL 2014-15
0.46
actual FR PPG at RIT
Caleb Elfering
BCHL 2023-24
0.42
actual FR PPG at RIT
Tyler Fukakusa
OJHL 2021-22
0.72
actual FR PPG at RIT

D2/3 Comparables

Geordan Buffoline
University of New England · 2018-19
1.667 Elite
actual D2/3 PPG
Collin Patterson
UMass Dartmouth · 2021-22
1.125 Elite
actual D2/3 PPG
Jonny Mulera
Salve Regina · 2018-19
1.409 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.