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Connor Abric Elite Prospects ↗

Position: Defense DOB: 2002-06-05 Country: USA
No commitment set

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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
2019-20 Hayward (Wis.) USHS-MN 2 0 1 1 0.500 0.0633 0.0633 0.1215 0.1215
2021-22 La Ronge Ice Wolves SJHL 49 2 8 10 0.204 0.0523 0.0518 0.1539 0.1524
2022-23 La Ronge Ice Wolves SJHL 53 6 17 23 0.434 0.1112 0.1046 0.3271 0.3076
■ 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
2025-26 Saint Mary's (MN) D3 MIAC JR 16 1 1 2 0.125
2024-25 Saint Mary's (MN) D3 MIAC SO 12 1 0 1 0.083
2023-24 Saint Mary's (MN) D3 MIAC FR 24 1 4 5 0.208
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.21
2023-24 · Saint Mary's (MN)
+164.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
15%
NCAA D2/D3
52%
Age-Out / Club
12%
Pro / Other

NCAAe Rankings

#16564
Defenseman overall
#2938
Defenseman born in 2002

D1 Comparables

Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 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
William Eiserman
USHL · 2012-13 · 0.15 PPG
→ UMass Lowell (0.14 D1 FR PPG)
0.08 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

D2/3 Comparables

Joe Anderson
Wisconsin-Stout · 2014-15
0.625 Average
actual D2/3 PPG
Christian DiFelice
SUNY Plattsburgh · 2017-18
0.360 Average
actual D2/3 PPG
Jérémy Carignan
Saint Anselm · 2014-15
0.455 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.