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Jake Vaughan Elite Prospects ↗

Position: Forward DOB: 1999-09-20 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 — NAHL 36 2 4 6 0.167 0.0612 0.0618 0.1760 0.1778
2019-20 — NAHL 51 8 12 20 0.392 0.1441 0.1441 0.4140 0.4140
■ 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
2021-22 Connecticut College D3 NESCAC — 16 2 2 4 0.250
2020-21 Connecticut College D3 NESCAC — 5 2 2 4 0.800
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.80
2020-21 · Connecticut College
+1412.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D1
10%
NCAA D2/D3
18%
Age-Out / Club
57%
Pro / Other

NCAAe Rankings

#46691
Forward overall
#2715
Forward born in 1999
#5256
in NAHL

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Tyler Hynes
USHL · 2012-13 · 0.28 PPG
→ Union (0.19 D1 FR PPG)
0.16 Developing
NCAAe PPG
Sebastian Weberg
USHL · 2012-13 · 0.23 PPG
→ Colgate
0.13 No data
NCAAe PPG
Dylan Gareau
USHL · 2012-13 · 0.34 PPG
→ Clarkson (0.14 D1 FR PPG)
0.20 Developing
NCAAe PPG

D2/3 Comparables

Zak Thompson
Salve Regina · 2010-11
0.320 Developing
actual D2/3 PPG
Kasper Kjellkvist
Curry · 2016-17
0.625 Average
actual D2/3 PPG
Brandon Short
SUNY Potsdam · 2014-15
0.000 No data
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.