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

Anthony Walsh Elite Prospects ↗

Position: Defense DOB: 1995-09-21 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 Green Bay Gamblers USHL 2 0 0 0 0.000 — — — —
2012-13 Green Bay Gamblers USHL 12 1 0 1 0.083 0.0491 0.0524 0.2502 0.2669
2013-14 Green Bay Gamblers USHL 40 2 4 6 0.150 0.0885 0.0903 0.4505 0.4595
2014-15 — USHL 53 2 9 11 0.207 0.1224 0.1188 0.6232 0.6051
■ 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
2018-19 Yale D1 ECAC SR 28 4 2 6 0.214
2017-18 Yale D1 ECAC JR 31 1 7 8 0.258
2016-17 Yale D1 ECAC SO 18 2 6 8 0.444
2015-16 Yale D1 ECAC FR 27 2 0 2 0.074
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.07
2015-16 · Yale
-26.9% vs. projection

NCAAe Rankings

#17275
Defenseman overall
#2042
Defenseman born in 1995
#3833
in USHL

D1 Comparables

Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
Mike Preston
USHL · 2012-13 · 0.07 PPG
→ Army (0.16 D1 FR PPG)
0.04 Average D
NCAAe PPG

D2/3 Comparables

Brent Rickett
Norwich · 2018-19
0.500 Average
actual D2/3 PPG
Ariel Kapulkin
Wentworth · 2017-18
0.000 No data
actual D2/3 PPG
Kyle Wadden
SUNY Morrisville · 2016-17
0.000 No data
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.