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Andrew Somerville Elite Prospects ↗

Position: Forward DOB: 1997-12-16 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
2016-17 New England Wolves EHL 1 0 0 0 0.000 — — — —
2017-18 East Coast Wizards EHL 29 8 7 15 0.517 0.1820 0.1785 0.2536 0.2487
■ 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 Southern New Hampshire D2 NE10 SR 23 5 3 8 0.348
2020-21 Southern New Hampshire D2 NE10 JR 0 0 0 0 0.000
2019-20 Southern New Hampshire D2 NE10 SO 25 5 6 11 0.440
2018-19 Southern New Hampshire D2 NE10 FR 27 8 6 14 0.518
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.52
2018-19 · Southern New Hampshire
+239.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

15%
NCAA D2/D3
0%
Club / ACHA
8%
Other

NCAAe Rankings

#31052
Forward overall
#1444
Forward born in 1997
#1017
in EHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG

D2/3 Comparables

Mike Dockry
St. Thomas · 2012-13
0.579 Average
actual D2/3 PPG
Alex Rowella
Manhattanville · 2016-17
0.323 Developing
actual D2/3 PPG
Peter Karavos
Wisconsin-River Falls · 2015-16
0.586 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.