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Justin Graf Elite Prospects ↗

Position: Forward DOB: 2007-07-10 Country: USA
2026 · Round 4, Pick #118  ·  Nashville Predators Nashville Predators
Harvard
ECAC 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 Rivers School NE-Prep 23 1 0 1 0.043 0.0086 0.0086 0.0198 0.0198
2023-24 Rivers School NE-Prep 30 13 22 35 1.167 0.2311 0.2311 0.5315 0.5315
2024-25 Rivers School NE-Prep 28 13 42 55 1.964 0.3891 0.3891 0.8949 0.8949
2025-26 Cedar Rapids RoughRiders USHL 52 23 32 55 1.058 0.6239 0.6305 3.1767 3.2103
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

98%
NCAA D1
0%
NCAA D2/D3
2%
Pro / Other

NCAAe Rankings

#4773
Forward overall
#59
Forward born in 2007

D1 Comparables

Alex Kile
USHL · 2012-13 · 1.07 PPG
→ Michigan (0.21 D1 FR PPG)
0.64 Developing
NCAAe PPG
Austin Cangelosi
USHL · 2012-13 · 1.14 PPG
→ Boston College (0.65 D1 FR PPG)
0.68 Strong
NCAAe PPG
Nick Schilkey
USHL · 2012-13 · 1.20 PPG
→ Ohio State (0.70 D1 FR PPG)
0.71 Strong
NCAAe PPG
Sheldon Dries
USHL · 2012-13 · 0.91 PPG
→ Western Michigan (0.18 D1 FR PPG)
0.53 Developing
NCAAe PPG
Austin Ortega
USHL · 2012-13 · 0.91 PPG
→ Nebraska Omaha (0.54 D1 FR PPG)
0.53 Average
NCAAe PPG

Harvard Alumni similar profiles who attended this school

Sean Malone
SHL 2025-26
0.65
actual FR PPG at Harvard
Baker Shore
USHL 2017-18
0.39
actual FR PPG at Harvard
Seb Lloyd
BCHL 2012-13
0.21
actual FR PPG at Harvard
Ryan Donato
USHL 2014-15
0.66
actual FR PPG at Harvard

D2/3 Comparables

Arkhip Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Filimon Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2002-03
1.704 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.