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Daniel Kucerovy Elite Prospects ↗

Position: Forward DOB: 1994-01-23 Country: USA
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
2011-12 Chicago Steel USHL 37 4 4 8 0.216 0.1377 0.1428 0.6479 0.6719
2012-13 Janesville Jets NAHL 46 14 16 30 0.652 0.2422 0.2477 — —
2013-14 — USHL 20 0 2 2 0.100 0.0637 0.0597 0.2997 0.2808
2014-15 — NAHL 57 22 21 43 0.754 0.2801 0.2577 0.7988 0.7349
■ 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
2018-19 Endicott D3 CNE SR 26 17 25 42 1.615
2017-18 Endicott D3 CNE JR 27 19 12 31 1.148
2016-17 Bentley D1 AHA SO 15 0 1 1 0.067
2015-16 Bentley D1 AHA FR 31 1 2 3 0.097
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.15
before college
→
Actual FR PPG
0.10
2015-16 · Bentley
-36.6% vs. projection

NCAAe Rankings

#21533
Forward overall
#861
Forward born in 1994

D1 Comparables

Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ricky DeRosa
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG
Aidan Cavallini
NAHL · 2012-13 · 0.65 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Perry D'Arrisso
NAHL · 2012-13 · 1.02 PPG
→ Clarkson (0.14 D1 FR PPG)
0.35 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG

D2/3 Comparables

Ryan McDonald
Framingham State · 2008-09
0.818 Strong
actual D2/3 PPG
Ethan James
Wisconsin-Superior · 2015-16
1.000 Elite
actual D2/3 PPG
Clint Olson
SUNY Geneseo · 2007-08
0.583 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.