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Antonin Verreault Elite Prospects ↗

Position: Forward DOB: 2004-07-28 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
2020-21 Gatineau Olympiques QMJHL 31 6 23 29 0.935 0.4651 0.4651 2.4950 2.4950
2021-22 Gatineau Olympiques QMJHL 56 14 32 46 0.821 0.4084 0.4342 2.1907 2.3293
2022-23 Gatineau Olympiques QMJHL 38 10 19 29 0.763 0.3795 0.3849 2.0355 2.0647
2023-24 Rouyn-Noranda Huskies QMJHL 68 36 71 107 1.573 0.7823 0.7550 4.1965 4.0498
2024-25 Rouyn-Noranda Huskies QMJHL 63 37 48 85 1.349 0.6708 0.6144 3.5983 3.2956
■ 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 Quinnipiac D1 ECAC FR 40 16 24 40 1.000
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.62
before college
→
Actual FR PPG
1.00
2025-26 · Quinnipiac
+60.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
0%
NCAA D2/D3
57%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#3458
Forward overall
#69
Forward born in 2004
#80
in QMJHL

D1 Comparables

Mike Szmatula
USHL · 2012-13 · 1.21 PPG
→ Northeastern (1.05 D1 FR PPG)
0.68 Elite
NCAAe PPG
Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota (0.15 D1 FR PPG)
0.51 Developing
NCAAe PPG
Tim Bonner
USHL · 2012-13 · 0.89 PPG
→ Yale
0.50 No data
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.50 Developing
NCAAe PPG
Jared VanWormer
NAHL · 2012-13 · 1.27 PPG
→ Ferris State (0.19 D1 FR PPG)
0.48 Developing
NCAAe PPG

D2/3 Comparables

Neil Trimm
Neumann · 2003-04
1.800 Elite
actual D2/3 PPG
Arkhip Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2018-19
1.448 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.