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Zach Simpson Elite Prospects ↗

Position: Defense DOB: 1993-05-23 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 Melville Millionaires SJHL 50 1 11 12 0.240 0.0615 0.0610 0.1806 0.1791
2013-14 Minot Minotauros NAHL 32 0 1 1 0.031 0.0111 0.0104 0.0329 0.0309
■ 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 Milwaukee School of Engineering D3 NCHA SR 27 6 8 14 0.518
2016-17 Milwaukee School of Engineering D3 NCHA JR 25 3 9 12 0.480
2015-16 Milwaukee School of Engineering D3 NCHA SO 25 4 7 11 0.440
2014-15 Milwaukee School of Engineering D3 NCHA FR 28 5 9 14 0.500
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.03
before college
→
Actual FR PPG
0.50
2014-15 · Milwaukee School of Engineering
+1630.1% vs. projection

NCAAe Rankings

#25579
Defenseman overall
#2215
Defenseman born in 1993

D1 Comparables

Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 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
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG

D2/3 Comparables

Dayton Honkanen
Wisconsin-River Falls · 2017-18
0.036 Developing
actual D2/3 PPG
Evan Byrnes
Fitchburg State · 2013-14
0.160 Developing
actual D2/3 PPG
Dominick Sacco
St. Norbert · 2015-16
0.577 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.