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Conner de Haro Elite Prospects ↗

Position: Defense DOB: 2005-10-17 Country: USA
No commitment set

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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 Youngstown Phantoms USHL 24 0 4 4 0.167 0.0983 0.1055 0.5007 0.5373
2023-24 Youngstown Phantoms USHL 51 2 8 10 0.196 0.1157 0.1184 0.5890 0.6029
2024-25 Youngstown Phantoms USHL 56 6 11 17 0.304 0.1791 0.1742 0.9118 0.8867
■ 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 New Hampshire D1 HockeyEast FR 33 0 10 10 0.303
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.30
2025-26 · New Hampshire
+111.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

70%
NCAA D1
2%
NCAA D2/D3
18%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#11162
Defenseman overall
#2319
Defenseman born in 2005
#3358
in USHL

D1 Comparables

Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Eric Schurhamer
USHL · 2012-13 · 0.24 PPG
→ Maine (0.37 D1 FR PPG)
0.14 Strong D
NCAAe PPG
Joe Schuldt
USHL · 2012-13 · 0.08 PPG
→ Michigan Tech
0.05 No data
NCAAe PPG

D2/3 Comparables

Eric Selleck
SUNY Oswego · 2006-07
1.000 Elite
actual D2/3 PPG
Tristan Mock
Becker · 2018-19
0.444 Average
actual D2/3 PPG
Gianni Mangone
Marian · 2012-13
1.000 Elite
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.