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Taylor Fernandez Elite Prospects ↗

Position: Forward DOB: 1995-02-13 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
2012-13 Port Huron Fighting Falcons NAHL 2 0 1 1 0.500 0.1837 0.1976 0.5278 0.5676
2013-14 Port Huron Fighting Falcons NAHL 45 6 7 13 0.289 0.1061 0.1088 0.3049 0.3126
2014-15 Keystone Ice Miners NAHL 59 13 26 39 0.661 0.2429 0.2363 0.6977 0.6788
2015-16 Janesville Jets NAHL 59 22 27 49 0.831 0.3051 0.2833 0.8766 0.8140
■ 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
2017-18 Ferris State D1 WCHA SO 16 2 6 8 0.500
2016-17 Ferris State D1 WCHA FR 31 3 3 6 0.194
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.19
2016-17 · Ferris State
-14.5% vs. projection

NCAAe Rankings

#19890
Forward overall
#743
Forward born in 1995
#1293
in NAHL

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG

D2/3 Comparables

Ricky Carballo
Endicott · 2017-18
0.857 Strong
actual D2/3 PPG
Tyler Bullard
Canton · 2015-16
0.957 Strong
actual D2/3 PPG
Tim Kielich
SUNY Brockport · 2014-15
1.192 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.