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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 0.1347 0.1347 0.3098 0.3098
2020-21 Trinity-Pawling NE-Prep 6 6 2 8 1.333 0.2641 0.2641 0.6075 0.6075
2021-22 Madison Capitols USHL 26 0 3 3 0.115 0.0681 0.0680 0.3466 0.3462
2022-23 Lincoln Stars USHL 60 13 23 36 0.600 0.3539 0.3351 1.8020 1.7062
2023-24 Lincoln Stars USHL 62 21 23 44 0.710 0.4187 0.3757 2.1315 1.9124
■ 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
0.31
before college
→
Actual FR PPG
0.29
2024-25 · Clarkson
-5.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

68%
NCAA D1
2%
NCAA D2/D3
10%
Age-Out / Club
20%
Pro / Other

NCAAe Rankings

#13453
Forward overall
#639
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)
0.43 Strong
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
T.J. Sarcona
NAHL · 2012-13 · 1.06 PPG
→ Niagara (0.58 D1 FR PPG)
0.36 Strong
NCAAe PPG

D2/3 Comparables

Eric Melso
SUNY Morrisville · 2018-19
0.750 Strong
actual D2/3 PPG
Jake McAlpine
Wisconsin-Stout · 2022-23
0.542 Average
actual D2/3 PPG
Austin Master
Stevenson · 2018-19
1.148 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.