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Rusty Masters Elite Prospects ↗

Position: Defense DOB: 1986-01-16 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
2002-03 Port Hope Predators OJHL 3 0 0 0 0.000 — — — —
2003-04 Port Hope Predators OJHL 46 16 22 38 0.826 0.2025 0.2077 0.5688 0.5834
2004-05 Trenton Sting OJHL 49 25 38 63 1.286 0.3151 0.3073 0.8852 0.8633
2005-06 Port Hope Predators OJHL 49 34 50 84 1.714 0.4202 0.3943 1.1803 1.1076
■ 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
2009-10 Elmira D3 UCHC SR 29 16 21 37 1.276
2008-09 Elmira D3 UCHC JR 26 14 13 27 1.038
2007-08 Elmira D3 UCHC SO 29 22 12 34 1.172
2006-07 Elmira D3 UCHC FR 26 12 13 25 0.962
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.96
2006-07 · Elmira
+183.3% vs. projection

NCAAe Rankings

#1718
Defenseman overall
#307
Defenseman born in 1986
#113
in OJHL

D1 Comparables

Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.32 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG

D2/3 Comparables

Bryan Hovanec
Lebanon Valley · 2014-15
0.760 Strong
actual D2/3 PPG
Bryce Grandbois
Worcester State · 2024-25
0.769 Strong
actual D2/3 PPG
Simon Boyko
Aurora · 2018-19
1.037 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.