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Bayard Hall Elite Prospects ↗

Position: Defense DOB: 2002-08-16 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
2018-19 Salisbury School NE-Prep 29 3 14 17 0.586 0.1161 0.1161 0.2671 0.2671
2019-20 Salisbury School NE-Prep 28 1 8 9 0.321 0.0637 0.0637 0.1464 0.1464
2020-21 Youngstown Phantoms USHL 44 1 5 6 0.136 0.0805 0.0805 0.4097 0.4097
2021-22 Youngstown Phantoms USHL 57 3 15 18 0.316 0.1863 0.1801 0.9485 0.9169
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 Yale D1 ECAC SR 22 0 1 1 0.045
2024-25 Yale D1 ECAC JR 27 0 4 4 0.148
2023-24 Yale D1 ECAC SO 30 1 5 6 0.200
2022-23 Yale D1 ECAC FR 23 2 4 6 0.261
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
Actual FR PPG
0.26
2022-23 · Yale
+106.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

68%
NCAA D1
2%
NCAA D2/D3
18%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#12347
Defenseman overall
#2457
Defenseman born in 2002

D1 Comparables

USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 Average D
NCAAe PPG
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.05 D1 FR PPG)
0.28 Developing D
NCAAe PPG
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG

D2/3 Comparables

SUNY Cortland · 2005-06
0.917 Strong
actual D2/3 PPG
Saint Mary's (MN) · 2022-23
0.826 Strong
actual D2/3 PPG
Buffalo State · 2017-18
1.231 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.