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Ryan Cox Elite Prospects ↗

Position: Forward DOB: 1998-07-23 Country: Canada
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
2014-15 Sherwood Park Crusaders AJHL 1 0 1 1 1.000 0.3354 0.3784 0.9252 1.0439
2015-16 Spruce Grove Saints AJHL 41 5 9 14 0.342 0.1145 0.1239 0.3160 0.3418
2016-17 Fort McMurray Oil Barons AJHL 52 21 29 50 0.962 0.3225 0.3332 0.8896 0.9190
2017-18 — AJHL 60 39 29 68 1.133 0.3801 0.3713 1.0485 1.0242
■ 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
2022-23 Niagara D1 AHA — 40 14 14 28 0.700
2021-22 Niagara D1 AHA — 36 11 8 19 0.528
2020-21 Niagara D1 AHA — 22 7 4 11 0.500
2019-20 Niagara D1 AHA — 29 1 5 6 0.207
2018-19 Niagara D1 AHA — 25 2 3 5 0.200
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.20
2018-19 · Niagara
-34.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

57%
NCAA D1
0%
NCAA D2/D3
42%
Pro / Other

NCAAe Rankings

#16616
Forward overall
#772
Forward born in 1998
#312
in AJHL

D1 Comparables

Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.32 Average
NCAAe PPG
Brett Skibba
NAHL · 2012-13 · 1.00 PPG
→ UConn (0.23 D1 FR PPG)
0.36 Developing
NCAAe PPG
Thomas Forgione
USHL · 2012-13 · 0.70 PPG
→ Vermont (0.21 D1 FR PPG)
0.40 Developing
NCAAe PPG
Max McHugh
NAHL · 2012-13 · 0.88 PPG
→ Alabama-Huntsville (0.61 D1 FR PPG)
0.32 Strong
NCAAe PPG
John Simonson
NAHL · 2012-13 · 0.97 PPG
→ North Dakota (0.23 D1 FR PPG)
0.35 Developing
NCAAe PPG

D2/3 Comparables

Andy Willock
SUNY Plattsburgh · 2004-05
0.727 Strong
actual D2/3 PPG
Matthew Headland
Canton · 2017-18
0.682 Strong
actual D2/3 PPG
Austin Master
Stevenson · 2017-18
1.148 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.