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Anthony Dowd Elite Prospects ↗

Position: Defense DOB: 2003-04-25 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
2020-21 — USHL 26 1 3 4 0.154 0.0907 0.0907 0.4619 0.4619
2021-22 Chicago Steel USHL 61 6 9 15 0.246 0.1451 0.1453 0.7385 0.7394
2022-23 Chicago Steel USHL 58 4 35 39 0.672 0.3966 0.3765 2.0195 1.9169
■ 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
2025-26 Arizona State D1 NCHC SR 27 0 4 4 0.148
2024-25 Arizona State D1 NCHC JR 37 2 11 13 0.351
2023-24 Arizona State D1 NCHC SO 36 3 10 13 0.361
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.27
before college
→
Actual FR PPG
0.36
2023-24 · Arizona State
+34.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

80%
NCAA D1
2%
NCAA D2/D3
18%
Pro / Other

NCAAe Rankings

#4331
Defenseman overall
#1066
Defenseman born in 2003
#2001
in USHL

D1 Comparables

Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG
Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.25 Average D
NCAAe PPG
Niklas Nevalainen
USHL · 2012-13 · 0.55 PPG
→ St. Cloud State (0.23 D1 FR PPG)
0.31 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.29 Elite D
NCAAe PPG

D2/3 Comparables

Niko Schoner
Canton · 2022-23
1.000 Elite
actual D2/3 PPG
Mathew Thompson
Adrian · 2013-14
1.536 Elite
actual D2/3 PPG
Nicholas Cyprian
Chatham · 2021-22
0.880 Strong
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.