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Ricky Carballo Elite Prospects ↗

Position: Forward DOB: 1997-03-02 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
2016-17 Wichita Falls Wildcats NAHL 50 20 26 46 0.920 0.3380 0.3301 0.9711 0.9484
2017-18 — NAHL 59 20 36 56 0.949 0.3487 0.3233 1.0019 0.9290
■ 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
2021-22 SUNY Geneseo D3 SUNYAC FR 5 0 1 1 0.200
2018-19 Endicott D1 CNE FR 21 7 11 18 0.857
2018-19 Endicott D3 CNE — 21 7 11 18 0.857
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.28
before college
→
Actual FR PPG
0.86
2018-19 · Endicott
+207.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

60%
NCAA D1
5%
NCAA D2/D3
35%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#10440
Forward overall
#477
Forward born in 1997
#269
in NAHL

D1 Comparables

David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Eric Bolden
Elmira · 2016-17
1.000 Elite
actual D2/3 PPG
Kevin Valenti
Utica · 2013-14
0.538 Average
actual D2/3 PPG
Hunter Schneider
Wisconsin-River Falls · 2015-16
0.600 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.