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Andrew Haugh Elite Prospects ↗

Position: Defense DOB: 2003-06-18 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
2022-23 Boston Jr. Rangers EHL 43 4 4 8 0.186 0.0272 0.0277 0.0912 0.0929
2023-24 Boston Jr. Rangers EHL 44 6 10 16 0.364 0.0532 0.0515 0.1783 0.1725
■ 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 SUNY Brockport D3 — SO 18 1 3 4 0.222
2024-25 SUNY Brockport D3 — FR 19 0 1 1 0.053
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.04
before college
→
Actual FR PPG
0.05
2024-25 · SUNY Brockport
+32.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
2%
Club / ACHA
0%
Other

NCAAe Rankings

#16603
Defenseman overall
#3015
Defenseman born in 2003
#2060
in EHL

D1 Comparables

William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG

D2/3 Comparables

Zach Martin
SUNY Geneseo · 2010-11
0.400 Average
actual D2/3 PPG
Tyler Atkins
Castleton · 2007-08
0.375 Average
actual D2/3 PPG
Ryan Rowland
UMass Boston · 2018-19
0.308 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.