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Jonny Ruiz Elite Prospects ↗

Position: Forward DOB: 1994-02-02 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
2013-14 Philadelphia Jr. Flyers EHL 44 26 16 42 0.955 0.2205 0.2158 0.4670 0.4570
2014-15 Philadelphia Jr. Flyers EHL 39 36 31 67 1.718 0.3968 0.3697 0.8406 0.7833
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
2015-16 Johnson & Wales D3 CNE 26 9 10 19 0.731
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.26
before college
Actual FR PPG
0.73
2015-16 · Johnson & Wales
+177.0% vs. projection

NCAAe Rankings

#6041
Forward overall
#295
Forward born in 1994
#26
in EHL

D1 Comparables

WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.47 Developing
NCAAe PPG
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.25 Developing
NCAAe PPG

D2/3 Comparables

Chatham · 2024-25
1.037 Elite
actual D2/3 PPG
SUNY Cortland · 2010-11
0.640 Average
actual D2/3 PPG
Saint John's · 2018-19
0.957 Strong
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.