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Victor Newell Elite Prospects ↗

Position: Defense DOB: 1993-02-23 Country: Canada
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
2009-10 Nanaimo Clippers BCHL 54 8 27 35 0.648 0.2497 0.2775 0.9432 1.0482
2010-11 Nanaimo Clippers BCHL 58 12 23 35 0.603 0.2325 0.2475 0.8781 0.9347
2011-12 Omaha Lancers USHL 59 6 13 19 0.322 0.1899 0.1883 0.9671 0.9587
2012-13 — USHL 52 7 20 27 0.519 0.3063 0.2874 1.5594 1.4630
■ 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
2015-16 Harvard D1 ECAC JR 18 1 6 7 0.389
2014-15 Harvard D1 ECAC SO 16 1 8 9 0.562
2013-14 Harvard D1 ECAC FR 15 2 8 10 0.667
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.67
2013-14 · Harvard
+185.0% vs. projection

NCAAe Rankings

#4262
Defenseman overall
#703
Defenseman born in 1993

D1 Comparables

Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.17 Developing D
NCAAe PPG

D2/3 Comparables

Jason Cassells
Elmira · 2000-01
0.955 Strong
actual D2/3 PPG
Richard McCartney
SUNY Plattsburgh · 2016-17
0.923 Strong
actual D2/3 PPG
Lucas Michaud
Trinity · 2016-17
0.893 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.