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Carter Breitenfeldt Elite Prospects ↗

Position: Forward DOB: 1999-01-21 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
2014-15 Breck School USHS-MN 25 6 4 10 0.400 0.0506 0.0528 0.0972 0.1015
2017-18 Minnesota Magicians NAHL 55 8 18 26 0.473 0.1737 0.1775 0.4989 0.5097
2018-19 Minnesota Magicians NAHL 51 10 20 30 0.588 0.2161 0.2111 0.6208 0.6065
■ 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
2022-23 Colby D3 NESCAC SR 26 10 14 24 0.923
2021-22 Colby D3 NESCAC JR 23 5 11 16 0.696
2020-21 Colby D1 NESCAC SO 3 0 0 0 0.000
2020-21 Colby D3 NESCAC SO 3 0 0 0 0.000
2019-20 Colby D1 NESCAC FR 24 5 5 10 0.417
2019-20 Colby D3 NESCAC FR 24 5 5 10 0.417
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.42
2019-20 · Colby
+146.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
15%
NCAA D2/D3
28%
Age-Out / Club
32%
Pro / Other

NCAAe Rankings

#29539
Forward overall
#1545
Forward born in 1999

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG

D2/3 Comparables

Mark Kishko
Lebanon Valley · 2017-18
0.250 Developing
actual D2/3 PPG
Marc Harrie
Concordia · 2007-08
0.800 Strong
actual D2/3 PPG
Austin Bottrell
Adrian · 2016-17
0.591 Average
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.