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James Marooney Elite Prospects ↗

Position: Defense DOB: 1999-08-16 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
2014-15 Holy Family Catholic USHS-MN 25 4 6 10 0.400 0.0506 0.0542 0.0972 0.1042
2017-18 Waterloo Black Hawks USHL 35 2 4 6 0.171 0.1011 0.1030 0.5148 0.5245
2018-19 Waterloo Black Hawks USHL 62 4 25 29 0.468 0.2759 0.2669 1.4047 1.3587
■ 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
2022-23 Ohio State D1 BigTen SR 26 0 5 5 0.192
2021-22 Ohio State D1 BigTen JR 31 1 8 9 0.290
2020-21 Ohio State D1 BigTen SO 10 0 0 0 0.000
2019-20 Ohio State D1 BigTen FR 13 0 1 1 0.077
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.08
2019-20 · Ohio State
-59.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

72%
NCAA D1
5%
NCAA D2/D3
18%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#7552
Defenseman overall
#1591
Defenseman born in 1999

D1 Comparables

Mike McKee
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.05 D1 FR PPG)
0.28 Developing D
NCAAe PPG
Tommy Davis
USHL · 2012-13 · 0.34 PPG
→ Princeton (0.29 D1 FR PPG)
0.20 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
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Ryan Murray
WHL · 2012-13 · 0.74 PPG
→ Hamline (0.28 D1 FR PPG)
0.35 Average D
NCAAe PPG

D2/3 Comparables

Anthony Marra
SUNY Geneseo · 2013-14
1.161 Elite
actual D2/3 PPG
Ryan Cole
Trinity · 2011-12
1.846 Elite
actual D2/3 PPG
Mickey Gilchrist
Middlebury · 2003-04
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.