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Adam Pietila Elite Prospects ↗

Position: Forward DOB: 2003-01-14 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
2021-22 Bismarck Bobcats NAHL 60 17 15 32 0.533 0.1959 0.2014 0.5629 0.5787
2022-23 Bismarck Bobcats NAHL 51 25 25 50 0.980 0.3602 0.3526 1.0348 1.0130
2023-24 Youngstown Phantoms USHL 61 24 24 48 0.787 0.4642 0.4111 2.3634 2.0933
■ 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
2025-26 Wisconsin D1 BigTen SO 31 7 5 12 0.387
2024-25 Wisconsin D1 BigTen — 31 1 2 3 0.097
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.10
2024-25 · Wisconsin
-70.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

70%
NCAA D1
0%
NCAA D2/D3
25%
Age-Out / Club
5%
Pro / Other

NCAAe Rankings

#9534
Forward overall
#413
Forward born in 2003

D1 Comparables

Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Trevor Mingoia
USHL · 2012-13 · 0.91 PPG
→ Union (0.33 D1 FR PPG)
0.47 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG

D2/3 Comparables

Ryan Bloom
University of New England · 2013-14
1.654 Elite
actual D2/3 PPG
Shaquille Merasty
Adrian · 2011-12
1.357 Elite
actual D2/3 PPG
Brett Gravelle
St. Thomas · 2015-16
0.923 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.