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Carson Soucy Elite Prospects ↗

Position: Defense DOB: 1994-07-27 Country: Canada
2013 · Round 5, Pick #137  ·  Minnesota Wild Minnesota Wild
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
2011-12 — AJHL 7 0 0 0 0.000 — — — —
2012-13 — AJHL 35 5 10 15 0.429 0.1438 0.1487 0.3966 0.4100
■ 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 Duluth D1 NCHC SR 35 3 12 15 0.429
2015-16 Minnesota Duluth D1 NCHC JR 38 3 9 12 0.316
2014-15 Minnesota Duluth D1 NCHC SO 40 6 8 14 0.350
2013-14 Minnesota Duluth D1 NCHC FR 34 0 6 6 0.176
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.18
2013-14 · Minnesota Duluth
+25.7% vs. projection

NCAAe Rankings

#11680
Defenseman overall
#1523
Defenseman born in 1994
#1399
in AJHL

D1 Comparables

Cutler Martin
USHL · 2012-13 · 0.27 PPG
→ Michigan (0.47 D1 FR PPG)
0.16 Strong D
NCAAe PPG
Jake Bischoff
USHL · 2012-13 · 0.17 PPG
→ Minnesota (0.25 D1 FR PPG)
0.10 Average D
NCAAe PPG
Doyle Somerby
USHL · 2012-13 · 0.20 PPG
→ Boston University (0.12 D1 FR PPG)
0.12 Developing D
NCAAe PPG
Jimmy Mazza
USHL · 2012-13 · 0.17 PPG
→ Canisius (0.35 D1 FR PPG)
0.10 Strong D
NCAAe PPG
Chris Leibinger
USHL · 2012-13 · 0.33 PPG
→ Michigan Tech (0.13 D1 FR PPG)
0.19 Developing D
NCAAe PPG

D2/3 Comparables

Deiter Stange
Worcester State · 2017-18
0.462 Average
actual D2/3 PPG
Alex Dicarlo
SUNY Oswego · 2016-17
0.773 Strong
actual D2/3 PPG
Dimitri Voyatzis
Nichols · 2021-22
0.435 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.