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Ryan Jones Elite Prospects ↗

Position: Defense DOB: 1996-05-26 Country: USA
2016 · Round 4, Pick #121  ·  Pittsburgh Penguins Pittsburgh Penguins
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 Minnesota Wilderness NAHL 1 0 0 0 0.000 — — — —
2014-15 Lincoln Stars USHL 60 4 9 13 0.217 0.1278 0.1284 0.6508 0.6540
2015-16 Lincoln Stars USHL 60 3 27 30 0.500 0.2949 0.2826 1.5017 1.4392
■ 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
2019-20 Nebraska Omaha D1 NCHC SR 36 2 9 11 0.306
2018-19 Nebraska Omaha D1 NCHC JR 36 0 12 12 0.333
2017-18 Nebraska Omaha D1 NCHC SO 34 1 12 13 0.382
2016-17 Nebraska Omaha D1 NCHC FR 35 1 5 6 0.171
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.17
2016-17 · Nebraska Omaha
-17.8% vs. projection

NCAAe Rankings

#5097
Defenseman overall
#934
Defenseman born in 1996

D1 Comparables

Tucker Poolman
USHL · 2012-13 · 0.44 PPG
→ North Dakota (0.45 D1 FR PPG)
0.25 Strong D
NCAAe PPG
Christopher Dienes
USHL · 2012-13 · 0.45 PPG
→ Western Michigan (0.15 D1 FR PPG)
0.25 Average D
NCAAe PPG
Niklas Nevalainen
USHL · 2012-13 · 0.55 PPG
→ St. Cloud State (0.23 D1 FR PPG)
0.31 Average D
NCAAe PPG
Jared Kolquist
USHL · 2012-13 · 0.47 PPG
→ Merrimack (0.14 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG

D2/3 Comparables

Andrew Bellant
Adrian · 2016-17
1.462 Elite
actual D2/3 PPG
Conlan Keenan
SUNY Geneseo · 2014-15
1.296 Elite
actual D2/3 PPG
Jason Cassells
Elmira · 2000-01
0.955 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.