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Jordan Gross Elite Prospects ↗

Position: Defense DOB: 1995-05-09 Country: USA
Signed Professionally
Dinamo Minsk · KHL

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 Green Bay Gamblers USHL 6 2 0 2 0.333 0.1966 0.2166 1.0010 1.1027
2012-13 Green Bay Gamblers USHL 64 7 24 31 0.484 0.2857 0.2995 1.4548 1.5251
2013-14 Green Bay Gamblers USHL 50 2 23 25 0.500 0.2949 0.2954 1.5017 1.5041
2024-25 Dinamo Minsk KHL 66 7 33 40 0.606 1.5152 1.3091 8.3513 7.2152
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 Notre Dame D1 BigTen SR 40 10 20 30 0.750
2016-17 Notre Dame D1 BigTen JR 40 10 22 32 0.800
2015-16 Notre Dame D1 BigTen SO 37 9 22 31 0.838
2014-15 Notre Dame D1 BigTen FR 42 7 21 28 0.667
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
Actual FR PPG
0.67
2014-15 · Notre Dame
+137.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

🏒 NHL / Pro Track — production profile is consistent with players who bypassed or minimized college hockey
0%
NCAA D1
0%
NCAA D2/D3
100%
NHL / Pro

NCAAe Rankings

D2/3 Comparables

Neumann · 2003-04
1.800 Elite
actual D2/3 PPG
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
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.