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Jonathan Gruden Elite Prospects ↗

Position: Forward DOB: 2000-05-04 Country: USA
2018 NHL Draft Round 3, Pick #95  ·  Ottawa Senators Ottawa Senators
Signed Professionally

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
2016-17 — NTDP-U18 57 18 12 30 0.526 0.4081 0.4188 1.9588 2.0103
2017-18 — NTDP-U18 61 28 32 60 0.984 0.7627 0.7440 3.6609 3.5711
2019-20 — OHL 59 30 36 66 1.119 0.6491 0.6491 2.8664 2.8664
■ 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 Miami D1 NCHC FR 38 3 12 15 0.395
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.57
before college
→
Actual FR PPG
0.39
2018-19 · Miami
-30.9% vs. projection

College Pathway Likelihood (based on 18 comparables)

100%
NCAA D1
0%
NCAA D2/D3
0%
Pro / Other

NCAAe Rankings

D1 Comparables

J.T. Compher
USHL · 2012-13 · 1.14 PPG
→ Michigan (0.89 D1 FR PPG)
0.73 Elite
NCAAe PPG
Trevor Moore
USHL · 2012-13 · 1.02 PPG
→ Denver (0.76 D1 FR PPG)
0.65 Strong
NCAAe PPG
Anthony Louis
USHL · 2012-13 · 1.04 PPG
→ Miami (0.69 D1 FR PPG)
0.66 Strong
NCAAe PPG
Tyler Kelleher
NTDP-U18 · 2012-13 · 0.88 PPG
→ New Hampshire (0.43 D1 FR PPG)
0.65 Average
NCAAe PPG
Zach Diamantoni
USHL · 2012-13 · 1.00 PPG
→ Northern Michigan (0.26 D1 FR PPG)
0.63 Developing
NCAAe PPG

D2/3 Comparables

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