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Jared Mangan Elite Prospects ↗

Position: Forward DOB: 2003-04-08 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
2019-20 Trinity-Pawling NE-Prep 25 5 12 17 0.680 0.1918 0.1918 0.3112 0.3112
2020-21 Trinity-Pawling NE-Prep 6 6 2 8 1.333 0.3761 0.3761 0.6101 0.6101
2021-22 Madison Capitols USHL 26 0 3 3 0.115 0.0709 0.0708 0.3400 0.3396
2022-23 Lincoln Stars USHL 60 13 23 36 0.600 0.3688 0.3492 1.7677 1.6737
2023-24 Lincoln Stars USHL 62 21 23 44 0.710 0.4363 0.3914 2.0909 1.8760
■ 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 Clarkson D1 ECAC SO 38 8 12 20 0.526
2024-25 Clarkson D1 ECAC — 38 6 5 11 0.289
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.32
before college
→
Actual FR PPG
0.29
2024-25 · Clarkson
-9.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

55%
NCAA D1
5%
NCAA D2/D3
40%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#12973
Forward overall
#615
Forward born in 2003

D1 Comparables

Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.37 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Rick Cleaver
Norwich · 2003-04
1.235 Elite
actual D2/3 PPG
Collin Patterson
UMass Dartmouth · 2022-23
1.125 Elite
actual D2/3 PPG
Jonathan Schultz
St. Norbert · 2001-02
1.125 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.