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Tyler Zepeda Elite Prospects ↗

Position: Forward DOB: 1991-01-16 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
2008-09 Waterloo Black Hawks USHL 3 1 1 2 0.667 0.3933 0.4119 2.0024 2.0971
2009-10 Waterloo Black Hawks USHL 37 4 5 9 0.243 0.1435 0.1411 0.7304 0.7182
2010-11 Waterloo Black Hawks USHL 54 15 16 31 0.574 0.3387 0.3159 1.7243 1.6084
2011-12 Waterloo Black Hawks USHL 47 9 13 22 0.468 0.2761 0.2447 1.4059 1.2458
■ 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 St. Norbert D3 NCHA SR 6 2 3 5 0.833
2014-15 St. Norbert D3 NCHA JR 27 7 12 19 0.704
2013-14 St. Norbert D3 NCHA SO 29 9 13 22 0.759
2012-13 St. Norbert D3 NCHA FR 28 9 14 23 0.821
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.23
before college
→
Actual FR PPG
0.82
2012-13 · St. Norbert
+251.3% vs. projection

NCAAe Rankings

#18363
Forward overall
#688
Forward born in 1991
#1790
in USHL

D1 Comparables

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

D2/3 Comparables

Maxwell Donohoe
Neumann · 2023-24
1.500 Elite
actual D2/3 PPG
Stuart Stefan
Castleton · 2006-07
1.000 Elite
actual D2/3 PPG
Jonny Ruiz
Johnson & Wales · 2014-15
0.731 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.