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Caleb Pittsley Elite Prospects ↗

Position: Forward DOB: 2007-11-16 Country: USA
Augustana
CCHA D1

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 Edina USHS-MN 31 5 13 18 0.581 0.0735 0.0735 0.1410 0.1410
2024-25 Edina USHS-MN 30 21 22 43 1.433 0.1815 0.1815 0.3481 0.3481
2025-26 Madison Capitols USHL 62 11 16 27 0.435 0.2569 0.2642 1.3080 1.3450
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

70%
NCAA D1
8%
NCAA D2/D3
10%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#18024
Forward overall
#523
Forward born in 2007

D1 Comparables

Jake Horton
USHL · 2012-13 · 0.43 PPG
→ Harvard (0.24 D1 FR PPG)
0.26 Developing
NCAAe PPG
Mitch Hults
USHL · 2012-13 · 0.46 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.28 Average
NCAAe PPG
Jake Jackson
USHL · 2012-13 · 0.50 PPG
→ Michigan Tech (0.09 D1 FR PPG)
0.30 Developing
NCAAe PPG
Matt Gaudreau
USHL · 2012-13 · 0.33 PPG
→ Boston College (0.12 D1 FR PPG)
0.20 Developing
NCAAe PPG
Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan State (0.25 D1 FR PPG)
0.27 Developing
NCAAe PPG

Augustana Alumni similar profiles who attended this school

Ben Troumbly
USHS-MN 2019-20
0.46
actual FR PPG at Augustana
Tyler Hennen
USHS-MN 2019-20
0.46
actual FR PPG at Augustana
Leonid Bulgakov
MHL-RU 2022-23
0.64
actual FR PPG at Augustana
Nace Langus
SHL-J20 2022-23
0.55
actual FR PPG at Augustana

D2/3 Comparables

Nate Pionk
St. Scholastica · 2014-15
0.615 Average
actual D2/3 PPG
Jack Cooper
King's · 2018-19
1.000 Elite
actual D2/3 PPG
Jon Daigle
Marian · 2000-01
1.074 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.