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Chace McCardle Elite Prospects ↗

Position: Defense DOB: 1999-06-26 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
2018-19 Brockville Braves CCHL 35 2 6 8 0.229 0.0496 0.0486 0.1751 0.1714
2019-20 — NAHL 48 2 11 13 0.271 0.0995 0.0995 0.2862 0.2862
■ 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
2023-24 Trine D3 NCHA SR 28 4 8 12 0.429
2022-23 Trine D3 NCHA JR 25 1 7 8 0.320
2021-22 Trine D3 NCHA SO 28 5 11 16 0.571
2020-21 Trine D1 NCHA FR 13 0 1 1 0.077
2020-21 Trine D3 NCHA FR 13 0 1 1 0.077
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.05
before college
→
Actual FR PPG
0.08
2020-21 · Trine
+67.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
15%
NCAA D2/D3
22%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

#15266
Defenseman overall
#2547
Defenseman born in 1999

D1 Comparables

James Roll
USHL · 2012-13 · 0.22 PPG
→ Lake Superior State (0.30 D1 FR PPG)
0.12 Average D
NCAAe PPG
Dan Molenaar
USHL · 2012-13 · 0.24 PPG
→ Minnesota Duluth (0.18 D1 FR PPG)
0.13 Average D
NCAAe PPG
Cameron McDonald
QMJHL · 2012-13 · 0.11 PPG
→ Providence (0.18 D1 FR PPG)
0.05 Average D
NCAAe PPG
Neal Goff
USHL · 2012-13 · 0.18 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.10 Developing D
NCAAe PPG
Christian Neumann
USHL · 2012-13 · 0.29 PPG
→ UConn (0.10 D1 FR PPG)
0.16 Developing D
NCAAe PPG

D2/3 Comparables

Ryan Kuntz
Wisconsin-Superior · 2003-04
0.280 Developing
actual D2/3 PPG
Trevor Elliott
SUNY Geneseo · 2005-06
0.200 Developing
actual D2/3 PPG
Brett Bower
St. Norbert · 2009-10
0.500 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.