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Kris Myllari Elite Prospects ↗

Position: Defense DOB: 1997-02-05 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
2013-14 Kanata Stallions CCHL 56 5 18 23 0.411 0.0891 0.0983 0.3178 0.3505
2014-15 Youngstown Phantoms USHL 59 1 10 11 0.186 0.1100 0.1144 0.5598 0.5821
2015-16 Youngstown Phantoms USHL 57 5 18 23 0.404 0.2380 0.2364 1.2119 1.2038
■ 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 Penn State D1 BigTen SR 34 2 8 10 0.294
2018-19 Penn State D1 BigTen JR 39 4 17 21 0.538
2017-18 Penn State D1 BigTen SO 38 5 9 14 0.368
2016-17 Penn State D1 BigTen FR 38 8 9 17 0.447
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.45
2016-17 · Penn State
+152.6% vs. projection

NCAAe Rankings

#8276
Defenseman overall
#1492
Defenseman born in 1997

D1 Comparables

Nolan Gluchowski
USHL · 2012-13 · 0.40 PPG
→ St. Lawrence (0.55 D1 FR PPG)
0.23 Elite D
NCAAe PPG
Justin Woods
USHL · 2012-13 · 0.32 PPG
→ Alaska Fairbanks (0.18 D1 FR PPG)
0.18 Average D
NCAAe PPG
Clay Anderson
USHL · 2012-13 · 0.38 PPG
→ Harvard (0.21 D1 FR PPG)
0.22 Average D
NCAAe PPG
Dakota Mermis
OHL · 2012-13 · 0.41 PPG
→ Denver (0.21 D1 FR PPG)
0.23 Average D
NCAAe PPG
Vince Pedrie
USHL · 2012-13 · 0.32 PPG
→ Penn State (0.69 D1 FR PPG)
0.19 Elite D
NCAAe PPG

D2/3 Comparables

Tyler Seltenreich
University of New England · 2014-15
1.207 Elite
actual D2/3 PPG
Sean Matthews
Milwaukee School of Engineering · 2021-22
0.000 No data
actual D2/3 PPG
Dustin Fulton
Hamline · 2004-05
1.000 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.