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Bronson Zoltán Kovács Elite Prospects ↗

Position: Defense DOB: 1990-07-03 Country: Hungary
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
2006-07 Soo Thunderbirds NOJHL 1 0 1 1 1.000 0.1686 0.1922 0.4155 0.4736
2007-08 Soo Thunderbirds NOJHL 3 0 2 2 0.667 0.1124 0.1216 0.2770 0.2998
2008-09 Soo Thunderbirds NOJHL 40 7 14 21 0.525 0.0885 0.0912 0.2181 0.2248
2009-10 Soo Thunderbirds NOJHL 49 13 31 44 0.898 0.1514 0.1500 0.3731 0.3696
2010-11 Huntsville Otters OJHL 49 7 19 26 0.531 0.1482 0.1357 0.3662 0.3353
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
2014-15 Hobart D3 SUNYAC SR 27 2 9 11 0.407
2013-14 Hobart D3 SUNYAC JR 25 6 8 14 0.560
2012-13 Hobart D3 SUNYAC SO 25 6 4 10 0.400
2011-12 Hobart D3 SUNYAC FR 21 5 5 10 0.476
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
Actual FR PPG
0.48
2011-12 · Hobart
+256.7% vs. projection

NCAAe Rankings

#8306
Defenseman overall
#1237
Defenseman born in 1990

D1 Comparables

USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 Developing D
NCAAe PPG
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.14 Developing D
NCAAe PPG
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.09 Developing D
NCAAe PPG
NAHL · 2012-13 · 0.57 PPG
→ Minnesota State (0.26 D1 FR PPG)
0.20 Average D
NCAAe PPG
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.19 Developing D
NCAAe PPG

D2/3 Comparables

Marian · 2007-08
0.826 Strong
actual D2/3 PPG
SUNY Geneseo · 2022-23
0.000 No data
actual D2/3 PPG
Lake Forest · 2014-15
0.474 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.