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Carter Foguth Elite Prospects ↗

Position: Defense DOB: 1992-02-13 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
2009-10 Marquette Rangers NAHL 45 1 8 9 0.200 0.0735 0.0791 0.2111 0.2271
2010-11 Muskegon Lumberjacks USHL 49 1 8 9 0.184 0.1084 0.1069 0.5517 0.5443
2011-12 Muskegon Lumberjacks USHL 34 0 1 1 0.029 0.0173 0.0163 0.0883 0.0830
2012-13 Muskegon Lumberjacks USHL 59 2 3 5 0.085 0.0500 0.0443 0.2544 0.2256
■ 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
2016-17 Minnesota State D1 WCHA SR 34 0 4 4 0.118
2015-16 Minnesota State D1 WCHA JR 38 1 6 7 0.184
2014-15 Minnesota State D1 WCHA SO 40 3 6 9 0.225
2013-14 Minnesota State D1 WCHA FR 32 0 2 2 0.062
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.03
before college
→
Actual FR PPG
0.06
2013-14 · Minnesota State
+100.3% vs. projection

NCAAe Rankings

#25129
Defenseman overall
#2221
Defenseman born in 1992

D1 Comparables

Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG

D2/3 Comparables

Rick Schrank
Elmira · 2006-07
0.647 Average
actual D2/3 PPG
Jaycob McCombs
Hamline · 2013-14
0.750 Strong
actual D2/3 PPG
Cameron Sangster
Becker · 2017-18
0.000 No data
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.