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Ryan Blais Elite Prospects ↗

Position: Defense DOB: 1996-01-26 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
2014-15 Boston Jr. Bruins USPHL-Premier-Classic 33 2 6 8 0.242 0.0680 0.0707 0.1993 0.2073
2015-16 Connecticut Jr. Rangers USPHL-Premier-Classic 43 2 15 17 0.395 0.1110 0.1100 0.3250 0.3221
2016-17 South Shore Kings USPHL-Premier-Classic 43 4 21 25 0.581 0.1632 0.1538 0.4780 0.4505
■ 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
2018-19 Elmira D1 UCHC SO 11 4 9 13 1.182
2018-19 Elmira D3 UCHC — 11 4 9 13 1.182
2017-18 Elmira D3 UCHC — 28 2 20 22 0.786
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.79
2017-18 · Elmira
+511.0% vs. projection

NCAAe Rankings

#13557
Defenseman overall
#1852
Defenseman born in 1996
#182
in USPHL-Premier-Classic

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG

D2/3 Comparables

Blake Cotton
Trinity · 2024-25
0.650 Strong
actual D2/3 PPG
Ryan Gieseler
Adrian · 2010-11
0.500 Average
actual D2/3 PPG
Joe Serpico
SUNY Geneseo · 2014-15
0.571 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.