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Taylor Murphy Elite Prospects ↗

Position: Defense DOB: 1989-12-27 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
2005-06 North York Rangers OJHL 1 0 1 1 1.000 0.2794 0.3173 0.6901 0.7837
2006-07 — OJHL 30 12 7 19 0.633 0.1769 0.1920 0.4370 0.4744
2007-08 — OJHL 44 11 20 31 0.705 0.1968 0.2047 0.4862 0.5058
2008-09 Markham Waxers OJHL 49 16 17 33 0.673 0.1882 0.1861 0.4648 0.4597
2009-10 Markham Waxers OJHL 43 12 17 29 0.674 0.1884 0.1764 0.4654 0.4359
■ 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
2013-14 Westfield State D3 MASCAC SR 27 8 7 15 0.556
2012-13 Westfield State D3 MASCAC JR 23 6 10 16 0.696
2011-12 Westfield State D3 MASCAC SO 25 4 6 10 0.400
2010-11 Westfield State D3 MASCAC FR 24 7 4 11 0.458
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.46
2010-11 · Westfield State
+169.3% vs. projection

NCAAe Rankings

#4577
Defenseman overall
#857
Defenseman born in 1989
#1664
in OJHL

D1 Comparables

Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.16 No data
NCAAe PPG
Garret Peterson
NAHL · 2012-13 · 0.35 PPG
→ Army (0.07 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.19 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.14 Developing D
NCAAe PPG
Geoff Fortman
NAHL · 2012-13 · 0.50 PPG
→ Canisius (0.10 D1 FR PPG)
0.18 Developing D
NCAAe PPG

D2/3 Comparables

Ian Zaleski
Becker · 2018-19
0.476 Average
actual D2/3 PPG
Zach Remers
Buffalo State · 2015-16
0.783 Strong
actual D2/3 PPG
Kevin Galan
SUNY Plattsburgh · 2004-05
0.839 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.