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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 0.0349 0.0361 0.1028 0.1063
2022-23 Weyburn Red Wings SJHL 53 7 10 17 0.321 0.0822 0.0809 0.2418 0.2379
2023-24 Weyburn Red Wings SJHL 54 6 30 36 0.667 0.1708 0.1600 0.5026 0.4707
■ 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 SUNYAC SO 25 1 4 5 0.200
2024-25 SUNY Geneseo D3 SUNYAC FR 25 5 5 10 0.400
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.40
2024-25 · SUNY Geneseo
+230.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
8%
NCAA D2/D3
40%
Age-Out / Club
25%
Pro / Other

NCAAe Rankings

#12671
Defenseman overall
#2513
Defenseman born in 2003
#1052
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)
0.09 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG

D2/3 Comparables

Travis Marchant
Wentworth · 2021-22
0.381 Average
actual D2/3 PPG
Jack McDonald
SUNY Geneseo · 2023-24
0.652 Strong
actual D2/3 PPG
Ryan McCarthy
Hamline · 2002-03
0.000 No data
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.