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Taylor Farris Elite Prospects ↗

Position: Defense DOB: 1988-05-21 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 Bramalea Blues OJHL 41 2 13 15 0.366 0.0897 0.0947 0.2516 0.2656
2007-08 — OJHL 22 0 8 8 0.364 0.0891 0.0856 0.2500 0.2401
2008-09 Oakville Blades OJHL 48 4 34 38 0.792 0.1940 0.1763 0.5445 0.4949
■ 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
2012-13 SUNY Oswego D3 SUNYAC SR 30 1 6 7 0.233
2011-12 SUNY Oswego D3 SUNYAC JR 30 3 11 14 0.467
2010-11 SUNY Oswego D3 SUNYAC SO 27 1 1 2 0.074
2009-10 SUNY Oswego D3 SUNYAC FR 23 1 2 3 0.130
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.13
2009-10 · SUNY Oswego
-1.4% vs. projection

NCAAe Rankings

#9103
Defenseman overall
#1122
Defenseman born in 1988
#1907
in OJHL

D1 Comparables

Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG

D2/3 Comparables

Jack Lewis
Lake Forest · 2012-13
0.643 Average
actual D2/3 PPG
Brendon Gysbers
St. Norbert · 2017-18
0.871 Strong
actual D2/3 PPG
Corey Domenico
SUNY Oswego · 2009-10
0.000 No data
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.