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Ryan Stoynich Elite Prospects ↗

Position: Forward DOB: 1998-04-01 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
2015-16 Calgary Mustangs AJHL 53 2 6 8 0.151 0.0501 0.0534 0.1399 0.1492
2016-17 Calgary Mustangs AJHL 50 5 12 17 0.340 0.1128 0.1148 0.3151 0.3207
2017-18 Calgary Mustangs AJHL 48 8 6 14 0.292 0.0968 0.0931 0.2703 0.2598
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 Saint Mary's (MN) D3 MIAC SR 18 4 8 12 0.667
2020-21 Saint Mary's (MN) D1 JR 10 3 9 12 1.200
2020-21 Saint Mary's (MN) D3 JR 10 3 9 12 1.200
2019-20 Saint Mary's (MN) D1 SO 24 9 9 18 0.750
2019-20 Saint Mary's (MN) D3 SO 24 9 9 18 0.750
2018-19 Saint Mary's (MN) D1 FR 27 6 8 14 0.518
2018-19 Saint Mary's (MN) D3 FR 27 6 8 14 0.518
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
Actual FR PPG
0.52
2018-19 · Saint Mary's (MN)
+495.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

10%
NCAA D1
0%
NCAA D2/D3
90%
Pro / Other

NCAAe Rankings

#48526
Forward overall
#2654
Forward born in 1998
#2386
in AJHL

D1 Comparables

USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
OHL · 2012-13 · 0.19 PPG
→ New Hampshire
0.10 No data
NCAAe PPG
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG
USHL · 2012-13 · 0.25 PPG
→ Colorado College (0.17 D1 FR PPG)
0.15 Developing
NCAAe PPG

D2/3 Comparables

Tufts · 2009-10
0.600 Average
actual D2/3 PPG
St. Scholastica · 2003-04
0.518 Average
actual D2/3 PPG
Skidmore · 2023-24
0.556 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.