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Connor Duncan Elite Prospects ↗

Position: Defense DOB: 1995-05-25 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
2014-15 Drumheller Dragons AJHL 49 7 12 19 0.388 0.1295 0.1256 0.3600 0.3493
2015-16 Drumheller Dragons AJHL 47 3 18 21 0.447 0.1492 0.1378 0.4148 0.3831
■ 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
2019-20 Lake Forest D3 NCHA SR 27 3 15 18 0.667
2018-19 Lake Forest D3 NCHA JR 26 2 9 11 0.423
2017-18 Lake Forest D3 NCHA SO 26 5 11 16 0.615
2016-17 Lake Forest D3 NCHA FR 24 3 15 18 0.750
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.75
2016-17 · Lake Forest
+497.6% vs. projection

NCAAe Rankings

#7810
Defenseman overall
#1207
Defenseman born in 1995
#1677
in AJHL

D1 Comparables

Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.14 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.19 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.12 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
Drew Brevig
NAHL · 2012-13 · 0.64 PPG
→ Ohio State (0.50 D1 FR PPG)
0.22 Elite D
NCAAe PPG

D2/3 Comparables

Andrew Mather
SUNY Oswego · 2007-08
0.308 Developing
actual D2/3 PPG
Devin Mauro
SUNY Plattsburgh · 2024-25
0.333 Developing
actual D2/3 PPG
Matt Lamirande
Wisconsin-Superior · 2005-06
0.381 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.