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Michael Abgrall Elite Prospects ↗

Position: Forward DOB: 2003-10-25 Country: Canada
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 Powell River Kings BCHL 5 0 2 2 0.400 0.1490 0.1782 0.5828 0.6971
2019-20 Powell River Kings BCHL 57 13 24 37 0.649 0.2418 0.2418 0.9458 0.9458
2020-21 Surrey Eagles BCHL 18 8 8 16 0.889 0.3311 0.3311 1.2952 1.2952
2021-22 Surrey Eagles BCHL 53 23 23 46 0.868 0.3233 0.3380 1.2646 1.3221
■ 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 Holy Cross D1 AHA SR 37 11 12 23 0.622
2024-25 Holy Cross D1 AHA — 40 8 17 25 0.625
2023-24 Nebraska Omaha D1 NCHC — 12 0 3 3 0.250
2022-23 Nebraska Omaha D1 NCHC — 15 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D1
0%
NCAA D2/D3
18%
Age-Out / Club
30%
Pro / Other

NCAAe Rankings

#15013
Forward overall
#729
Forward born in 2003
#652
in BCHL

D1 Comparables

Mitch Hults
USHL · 2012-13 · 0.46 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.29 Average
NCAAe PPG
Thomas Ebbing
USHL · 2012-13 · 0.45 PPG
→ Michigan (0.25 D1 FR PPG)
0.28 Developing
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.41 Developing
NCAAe PPG
Jake Jackson
USHL · 2012-13 · 0.50 PPG
→ Michigan Tech (0.09 D1 FR PPG)
0.32 Developing
NCAAe PPG
Jake Horton
USHL · 2012-13 · 0.43 PPG
→ Harvard (0.24 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Nate Pionk
St. Scholastica · 2014-15
0.615 Average
actual D2/3 PPG
Sam Ciappa
St. John Fisher · 2022-23
0.913 Strong
actual D2/3 PPG
Nicholas Petriello
Buffalo State · 2004-05
1.200 Elite
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.