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Jonathan Grebosky Elite Prospects ↗

Position: Forward DOB: 1993-10-20 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 Lincoln Stars USHL 14 2 1 3 0.214 0.1365 0.1398 0.6422 0.6577
2012-13 — NAHL 60 12 28 40 0.667 0.2475 0.2499 0.7059 0.7126
2013-14 Aberdeen Wings NAHL 59 15 27 42 0.712 0.2643 0.2536 0.7538 0.7232
■ 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
2017-18 Concordia D3 MIAC SR 26 8 17 25 0.962
2016-17 Concordia D3 MIAC JR 27 13 11 24 0.889
2015-16 Concordia D3 MIAC SO 26 11 14 25 0.962
2014-15 Concordia D3 MIAC FR 26 13 7 20 0.769
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.77
2014-15 · Concordia
+256.4% vs. projection

NCAAe Rankings

#16693
Forward overall
#633
Forward born in 1993

D1 Comparables

Ryan Doucet
NAHL · 2012-13 · 0.73 PPG
→ Air Force (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Ian Miller
NAHL · 2012-13 · 0.57 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.20 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Jason Yuel
Curry · 2006-07
1.769 Elite
actual D2/3 PPG
R.G. Flath
Milwaukee School of Engineering · 2004-05
1.240 Elite
actual D2/3 PPG
Jory Mullin
Neumann · 2012-13
0.609 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.