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Braden Pietila Elite Prospects ↗

Position: Defense DOB: 2004-11-25 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
2023-24 Odessa Jackalopes NAHL 59 2 15 17 0.288 0.1141 0.1169 0.3025 0.3099
2024-25 Odessa Jackalopes NAHL 59 5 29 34 0.576 0.2283 0.2219 0.6051 0.5881
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
2%
NCAA D2/D3
40%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#7894
Defenseman overall
#1852
Defenseman born in 2004
#2885
in NAHL

D1 Comparables

Nolan Valleau
USHL · 2012-13 · 0.41 PPG
→ Bowling Green
0.23 No data
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.18 No data
NCAAe PPG
Patrick Koudys
USHL · 2012-13 · 0.23 PPG
→ RPI (0.10 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.27 Developing D
NCAAe PPG

D2/3 Comparables

Alex Nagel
Wisconsin-Stout · 2017-18
0.423 Average
actual D2/3 PPG
Austin Dollimer
Augsburg · 2017-18
0.750 Strong
actual D2/3 PPG
Kyler Matthews
Canton · 2017-18
0.941 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.