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Kyle Novak Elite Prospects ↗

Position: Forward DOB: 1992-10-13 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
2010-11 Green Bay Gamblers USHL 3 0 0 0 0.000 — — — —
2011-12 Green Bay Gamblers USHL 59 17 34 51 0.864 0.5504 0.5356 2.5903 2.5208
2012-13 Green Bay Gamblers USHL 64 27 50 77 1.203 0.7661 0.7048 3.6053 3.3167
■ 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
2016-17 Western Michigan D1 NCHC SR 8 1 3 4 0.500
2015-16 Western Michigan D1 NCHC JR 33 4 8 12 0.364
2014-15 Western Michigan D1 NCHC SO 18 5 5 10 0.556
2013-14 Western Michigan D1 NCHC FR 26 4 1 5 0.192
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.59
before college
→
Actual FR PPG
0.19
2013-14 · Western Michigan
-67.6% vs. projection

NCAAe Rankings

#739
Forward overall
#38
Forward born in 1992
#93
in USHL

D1 Comparables

Mike Szmatula
USHL · 2012-13 · 1.21 PPG
→ Northeastern (1.05 D1 FR PPG)
0.70 Elite
NCAAe PPG
Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.57 Elite
NCAAe PPG
Sam Anas
USHL · 2012-13 · 0.98 PPG
→ Quinnipiac (1.07 D1 FR PPG)
0.60 Elite
NCAAe PPG
Peter Quenneville
USHL · 2012-13 · 1.11 PPG
→ Quinnipiac (0.80 D1 FR PPG)
0.70 Elite
NCAAe PPG
Dominic Toninato
USHL · 2012-13 · 1.09 PPG
→ Minnesota Duluth (0.43 D1 FR PPG)
0.69 Average
NCAAe PPG

D2/3 Comparables

Neil Trimm
Neumann · 2003-04
1.800 Elite
actual D2/3 PPG
Arkhip Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2018-19
1.448 Elite
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.