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Charles Panchisin Elite Prospects ↗

Position: Forward DOB: 2004-11-15 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
2022-23 Philadelphia Rebels NAHL 46 3 11 14 0.304 0.1206 0.1291 0.3195 0.3421
2023-24 Philadelphia Rebels NAHL 60 21 35 56 0.933 0.3698 0.3783 0.9799 1.0025
2024-25 Philadelphia Rebels NAHL 59 17 31 48 0.814 0.3223 0.3128 0.8542 0.8291
■ 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 Air Force D1 AHA FR 33 2 3 5 0.151
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
0.15
2025-26 · Air Force
-47.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
12%
NCAA D2/D3
48%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#16497
Forward overall
#822
Forward born in 2004
#889
in NAHL

D1 Comparables

Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.39 Developing
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.43 Strong
NCAAe PPG

D2/3 Comparables

Tyler Barrow
Wilkes · 2017-18
1.385 Elite
actual D2/3 PPG
Troy York
Wisconsin-Superior · 2016-17
1.000 Elite
actual D2/3 PPG
Dayne Bihn
Neumann · 2003-04
1.200 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.