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Kevin Scott Elite Prospects ↗

Position: Defense DOB: 2003-04-30 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
2019-20 Maryland Black Bears NAHL 1 0 0 0 0.000 — — — —
2020-21 Maryland Black Bears NAHL 35 0 3 3 0.086 0.0340 0.0340 0.0900 0.0900
2021-22 Maryland Black Bears NAHL 60 7 11 18 0.300 0.1189 0.1240 0.3150 0.3284
2022-23 Fargo Force USHL 50 4 2 6 0.120 0.0738 0.0701 0.3535 0.3358
■ 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 RIT D1 AHA SR 34 0 4 4 0.118
2024-25 RIT D1 AHA JR 35 0 4 4 0.114
2023-24 RIT D1 AHA SO 29 0 3 3 0.103
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.10
2023-24 · RIT
+19.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

30%
NCAA D1
12%
NCAA D2/D3
45%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#20527
Defenseman overall
#3461
Defenseman born in 2003

D1 Comparables

Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.14 Average D
NCAAe PPG
Aleksi Rossi
USHL · 2012-13 · 0.15 PPG
→ Brown
0.09 No data
NCAAe PPG
James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.13 Average D
NCAAe PPG
Johnny Hrabovsky
USHL · 2012-13 · 0.24 PPG
→ Air Force (0.26 D1 FR PPG)
0.14 Average D
NCAAe PPG

D2/3 Comparables

Jeff Thompson
Connecticut College · 2014-15
0.636 Average
actual D2/3 PPG
Brent Bisdee
SUNY Geneseo · 2010-11
0.385 Average
actual D2/3 PPG
Jared Smith
Elmira · 2018-19
0.933 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.