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Chase Pietila Elite Prospects ↗

Position: Defense DOB: 2004-03-03 Country: USA
2024 NHL Draft Round 4, Pick #111  ·  Pittsburgh Penguins Pittsburgh Penguins
Signed Professionally

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
2020-21 — USHL 48 0 3 3 0.062 0.0384 0.0384 0.1841 0.1841
2021-22 — USHL 56 1 10 11 0.196 0.1207 0.1260 0.5786 0.6041
2022-23 — USHL 60 7 29 36 0.600 0.3688 0.3659 1.7677 1.7536
■ 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
2024-25 Michigan D1 BigTen — 36 7 15 22 0.611
2024-25 Michigan Tech D1 CCHA — 36 7 15 22 0.611
2023-24 Michigan D1 BigTen — 40 3 19 22 0.550
2023-24 Michigan Tech D1 CCHA — 40 3 19 22 0.550
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
0.55
2023-24 · Michigan
+115.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

88%
NCAA D1
0%
NCAA D2/D3
5%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

D1 Comparables

Matias Cleland
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.10 D1 FR PPG)
0.37 Developing D
NCAAe PPG
Jeff Taylor
USHL · 2012-13 · 0.47 PPG
→ Union (0.39 D1 FR PPG)
0.29 Strong D
NCAAe PPG
Ryan Lowney
USHL · 2012-13 · 0.65 PPG
→ Ferris State (0.35 D1 FR PPG)
0.39 Strong D
NCAAe PPG
Jaccob Slavin
USHL · 2012-13 · 0.53 PPG
→ Colorado College (0.78 D1 FR PPG)
0.33 Elite D
NCAAe PPG
Clay Anderson
USHL · 2012-13 · 0.38 PPG
→ Harvard (0.21 D1 FR PPG)
0.23 Average D
NCAAe PPG

D2/3 Comparables

Colin Bella
Lake Forest · 2021-22
0.963 Strong
actual D2/3 PPG
Jason Yuel
Curry · 2005-06
1.769 Elite
actual D2/3 PPG
Paul Rodrigues
SUNY Oswego · 2007-08
0.893 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.