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Tate Taylor Elite Prospects ↗

Position: Defense DOB: 2004-05-03 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
2020-21 Surrey Eagles BCHL 14 0 5 5 0.357 0.1330 0.1330 0.5203 0.5203
2021-22 Surrey Eagles BCHL 52 2 16 18 0.346 0.1290 0.1382 0.5044 0.5405
2022-23 Surrey Eagles BCHL 51 11 34 45 0.882 0.3287 0.3361 1.2857 1.3148
2023-24 Fargo Force USHL 60 2 22 24 0.400 0.2459 0.2338 1.1785 1.1205
■ 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
2025-26 Clarkson D1 ECAC SO 37 8 11 19 0.513
2024-25 Clarkson D1 ECAC — 33 3 13 16 0.485
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
→
Actual FR PPG
0.48
2024-25 · Clarkson
+87.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

68%
NCAA D1
8%
NCAA D2/D3
15%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#4521
Defenseman overall
#1180
Defenseman born in 2004

D1 Comparables

Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.26 Average D
NCAAe PPG
Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.28 Developing D
NCAAe PPG
Victor Björkung
USHL · 2012-13 · 0.37 PPG
→ Ohio State (0.18 D1 FR PPG)
0.21 Average D
NCAAe PPG
Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.26 Strong D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.14 Average D
NCAAe PPG

D2/3 Comparables

Sean David
Canton · 2016-17
0.800 Strong
actual D2/3 PPG
Gavin Bloder
Fredonia · 2022-23
0.750 Strong
actual D2/3 PPG
Ross Olsson
Endicott · 2014-15
1.364 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.