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

Andrew Mayer Elite Prospects ↗

Position: Forward DOB: 1993-07-29 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 Texas Tornado NAHL 10 3 6 9 0.900 0.3342 0.3504 0.9529 0.9990
2012-13 Texas Tornado NAHL 34 15 17 32 0.941 0.3495 0.3489 0.9965 0.9947
2013-14 Tri-City Storm USHL 42 2 4 6 0.143 0.0910 0.0831 0.4282 0.3908
■ 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 Ferris State D1 WCHA SR 17 0 2 2 0.118
2016-17 Ferris State D1 WCHA JR 28 3 1 4 0.143
2015-16 Ferris State D1 WCHA SO 29 4 8 12 0.414
2014-15 Ferris State D1 WCHA FR 36 3 4 7 0.194
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.19
2014-15 · Ferris State
+19.9% vs. projection

NCAAe Rankings

#16833
Forward overall
#641
Forward born in 1993

D1 Comparables

Jayson Angus
NAHL · 2012-13 · 0.66 PPG
→ Lake Superior State (0.14 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cody Marooney
NAHL · 2012-13 · 0.65 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.21 Strong
NCAAe PPG
Bob Kinne
NAHL · 2012-13 · 0.48 PPG
→ Bemidji State (0.12 D1 FR PPG)
0.17 Developing
NCAAe PPG
Bradley Duwe
NAHL · 2012-13 · 0.65 PPG
→ Alaska Anchorage (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Billy Grant
UMass Boston · 2018-19
0.391 Average
actual D2/3 PPG
Brady Heppner
Saint John's · 2015-16
0.619 Average
actual D2/3 PPG
Peter Hatton
Tufts · 2016-17
0.312 Developing
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.