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Jake Adkins Elite Prospects ↗

Position: Forward DOB: 1999-03-09 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
2017-18 Fairbanks Ice Dogs NAHL 4 0 0 0 0.000 — — — —
2018-19 New Hampshire Avalanche EHL 44 31 34 65 1.477 0.5199 0.5156 0.7243 0.7183
■ 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
2022-23 UMass Boston D3 NEHC SR 4 0 0 0 0.000
2021-22 UMass Boston D3 NEHC JR 18 2 0 2 0.111
2019-20 UMass Boston D1 NEHC FR 20 3 1 4 0.200
2019-20 UMass Boston D3 NEHC FR 20 3 1 4 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.48
before college
→
Actual FR PPG
0.20
2019-20 · UMass Boston
-58.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D2/D3
0%
Club / ACHA
20%
Other

NCAAe Rankings

#5084
Forward overall
#207
Forward born in 1999

D1 Comparables

Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.55 Elite
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.46 Average
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.45 Developing
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.49 Average
NCAAe PPG

D2/3 Comparables

Tyler Bullard
Canton · 2014-15
0.957 Strong
actual D2/3 PPG
Ivan Galaguzov
Lawrence · 2017-18
0.444 Average
actual D2/3 PPG
Ryan Panet
Lake Forest · 2000-01
0.750 Strong
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.