IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Andrew Faust Elite Prospects ↗

Position: Forward DOB: 1994-01-15 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
2011-12 Austin Bruins NAHL 10 0 5 5 0.500 0.1857 0.1990 0.5294 0.5674
2012-13 Coulee Region Chill NAHL 60 15 26 41 0.683 0.2537 0.2592 0.7235 0.7391
2013-14 Coulee Region Chill NAHL 23 2 5 7 0.304 0.1130 0.1098 0.3222 0.3130
■ 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 Augsburg D3 MIAC GR 4 1 1 2 0.500
2016-17 Augsburg D3 MIAC SR 27 3 7 10 0.370
2015-16 Augsburg D3 MIAC JR 28 1 9 10 0.357
2014-15 Army D1 AHA FR 12 0 2 2 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.17
2014-15 · Army
+14.9% vs. projection

NCAAe Rankings

#20920
Forward overall
#834
Forward born in 1994
#2047
in NAHL

D1 Comparables

Nick DeCenzo
NAHL · 2012-13 · 0.43 PPG
→ Army (0.32 D1 FR PPG)
0.16 Developing
NCAAe PPG
Ryan Dau
NAHL · 2012-13 · 0.41 PPG
→ Air Force (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.23 No data
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG

D2/3 Comparables

Matthew Wolf
Skidmore · 2015-16
0.423 Average
actual D2/3 PPG
Kyle Collette
SUNY Brockport · 2017-18
0.250 Developing
actual D2/3 PPG
Galloway Carroll
Manhattanville · 2000-01
0.375 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.