IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Chance Gorman Elite Prospects ↗

Position: Forward DOB: 1999-01-09 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
2018-19 New Jersey Rockets USPHL-Premier 38 19 22 41 1.079 0.1452 0.1399 0.3673 0.3538
2019-20 East Coast Wizards EHL 45 30 36 66 1.467 0.3148 0.3148 0.7182 0.7182
■ 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
2024-25 Elmira D3 UCHC GR 24 9 17 26 1.083
2023-24 Elmira D3 UCHC SR 26 8 13 21 0.808
2022-23 Elmira D3 UCHC JR 26 20 4 24 0.923
2021-22 Elmira D3 UCHC SO 26 12 17 29 1.115
2020-21 Elmira D3 UCHC FR 15 5 7 12 0.800
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.80
2020-21 · Elmira
+567.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D2/D3
0%
Club / ACHA
22%
Other

NCAAe Rankings

#15124
Forward overall
#535
Forward born in 1999

D1 Comparables

Nick DeCenzo
NAHL · 2012-13 · 0.43 PPG
→ Army (0.32 D1 FR PPG)
0.16 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Ryan Dau
NAHL · 2012-13 · 0.41 PPG
→ Air Force (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Evan Ritt
NAHL · 2012-13 · 0.67 PPG
→ Denver
0.24 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG

D2/3 Comparables

Alex Lazier
Albertus Magnus · 2017-18
0.522 Average
actual D2/3 PPG
Carter Lukenda
St. Olaf · 2013-14
0.000 No data
actual D2/3 PPG
Mitch Kerns
Wisconsin-River Falls · 2005-06
0.571 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.