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Nicholas Kovacs Elite Prospects ↗

Position: Defense DOB: 2003-04-20 Country: Canada
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
2021-22 Weyburn Red Wings SJHL 44 1 5 6 0.136 0.0415 0.0429 0.1011 0.1045
2022-23 Weyburn Red Wings SJHL 53 7 10 17 0.321 0.0977 0.0961 0.2377 0.2339
2023-24 Weyburn Red Wings SJHL 54 6 30 36 0.667 0.2031 0.1902 0.4941 0.4627
■ 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 Geneseo D3 — SO 25 1 4 5 0.200
2024-25 SUNY Geneseo D3 — FR 25 5 5 10 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.40
2024-25 · SUNY Geneseo
+177.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
5%
NCAA D2/D3
55%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#12545
Defenseman overall
#2500
Defenseman born in 2003
#1266
in SJHL

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 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
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG

D2/3 Comparables

Brandon Bistodeau
Hobart · 2014-15
0.462 Average
actual D2/3 PPG
Riley Ott
Milwaukee School of Engineering · 2021-22
0.000 No data
actual D2/3 PPG
Chris Carroll
Utica · 2021-22
0.429 Average
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.