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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 0.1670 0.1904 0.4163 0.4745
2007-08 Soo Thunderbirds NOJHL 3 0 2 2 0.667 0.1113 0.1204 0.2775 0.3003
2008-09 Soo Thunderbirds NOJHL 40 7 14 21 0.525 0.0877 0.0904 0.2186 0.2253
2009-10 Soo Thunderbirds NOJHL 49 13 31 44 0.898 0.1500 0.1486 0.3738 0.3703
2010-11 Huntsville Otters OJHL 49 7 19 26 0.531 0.1301 0.1191 0.3653 0.3345
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
0.12
before college
Actual FR PPG
0.48
2011-12 · Hobart
+285.3% vs. projection

NCAAe Rankings

#9090
Defenseman overall
#1216
Defenseman born in 1990

D1 Comparables

USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 Developing D
NCAAe PPG
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG

D2/3 Comparables

SUNY Geneseo · 2022-23
0.000 No data
actual D2/3 PPG
Salem State · 2000-01
0.348 Developing
actual D2/3 PPG
Gustavus Adolphus · 2015-16
0.222 Developing
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.