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Zack Taylor Elite Prospects ↗

Position: Defense DOB: 1996-09-03 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
2014-15 Mahtomedi High USHS-MN 25 5 15 20 0.800 0.0986 0.0912 0.1942 0.1796
2015-16 — NAHL 16 1 0 1 0.062 0.0222 0.0223 0.0659 0.0663
2016-17 — NAHL 20 0 2 2 0.100 0.0355 0.0338 0.1055 0.1004
■ 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
2021-22 Hamline D3 MIAC GR 0 0 0 0 0.000
2020-21 Hamline D3 MIAC SR 0 0 0 0 0.000
2019-20 Hamline D1 MIAC JR 15 0 1 1 0.067
2019-20 Hamline D3 MIAC JR 15 0 1 1 0.067
2018-19 Hamline D1 MIAC SO 25 1 4 5 0.200
2018-19 Hamline D3 MIAC SO 25 1 4 5 0.200
2017-18 Hamline D3 MIAC FR 10 1 1 2 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.03
before college
→
Actual FR PPG
0.20
2017-18 · Hamline
+624.6% vs. projection

NCAAe Rankings

#28116
Defenseman overall
#2973
Defenseman born in 1996

D1 Comparables

William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 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
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG

D2/3 Comparables

Kyle Cowan
St. Scholastica · 2009-10
0.261 Developing
actual D2/3 PPG
Alex Kielczewski
Becker · 2015-16
0.111 Developing
actual D2/3 PPG
Ryan Petersen
Salve Regina · 2004-05
0.364 Average
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.