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Zach Frye Elite Prospects ↗

Position: Defense DOB: 1994-03-25 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
2010-11 Lincoln Stars USHL 15 0 3 3 0.200 0.1274 0.1391 0.5993 0.6545
2011-12 Lincoln Stars USHL 35 1 3 4 0.114 0.0728 0.0761 0.3425 0.3581
2012-13 Lincoln Stars USHL 57 3 8 11 0.193 0.1229 0.1219 0.5784 0.5739
2013-14 Lincoln Stars USHL 38 9 18 27 0.711 0.4524 0.4277 2.1292 2.0131
■ 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 Alaska D1 WCHA SR 35 11 23 34 0.971
2016-17 Alaska D1 WCHA JR 36 5 15 20 0.556
2015-16 Alaska D1 WCHA SO 36 3 12 15 0.417
2014-15 Alaska D1 WCHA FR 29 2 6 8 0.276
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
0.28
2014-15 · Alaska
-4.3% vs. projection

NCAAe Rankings

#2151
Defenseman overall
#562
Defenseman born in 1994
#2066
in USHL

D1 Comparables

Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.31 Average D
NCAAe PPG
Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.34 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.31 Elite D
NCAAe PPG
Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.29 Developing D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.28 Average D
NCAAe PPG

D2/3 Comparables

Neil Trimm
Neumann · 2002-03
1.800 Elite
actual D2/3 PPG
Ryan Woodward
SUNY Oswego · 2001-02
1.226 Elite
actual D2/3 PPG
Tyler Barrow
Wilkes · 2017-18
1.385 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.