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Ryan Bunting Elite Prospects ↗

Position: Forward DOB: 2005-03-08 Country: USA
Utica
UCHC D3

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 Philadelphia Rebels NAHL 4 0 0 0 0.000 — — — —
2023-24 Philadelphia Rebels NAHL 54 8 16 24 0.444 0.1633 0.1696 0.4697 0.4878
2024-25 Philadelphia Rebels NAHL 59 20 20 40 0.678 0.2491 0.2456 0.7166 0.7066
2025-26 Philadelphia Rebels NAHL 29 10 9 19 0.655 0.2407 0.2255 0.6925 0.6488
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
18%
NCAA D2/D3
52%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#22184
Forward overall
#1206
Forward born in 2005
#1601
in NAHL

D1 Comparables

Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

Utica Alumni similar profiles who attended this school

Remy Parker
0.59
actual FR PPG at Utica
Don Olivieri
0.81
actual FR PPG at Utica
Mathieu MacMillan
0.47
actual FR PPG at Utica
Brandon Laidlaw
0.76
actual FR PPG at Utica

D2/3 Comparables

Mark Menzies
St. Scholastica · 2004-05
0.769 Strong
actual D2/3 PPG
Kerfalla Touré
Elmira · 2021-22
0.696 Strong
actual D2/3 PPG
Andrew Francone
Lake Forest · 2000-01
0.583 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.