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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 0.4596 0.4596 2.4981 2.4981
2021-22 Gatineau Olympiques QMJHL 56 14 32 46 0.821 0.4036 0.4291 2.1934 2.3322
2022-23 Gatineau Olympiques QMJHL 38 10 19 29 0.763 0.3750 0.3804 2.0380 2.0672
2023-24 Rouyn-Noranda Huskies QMJHL 68 36 71 107 1.573 0.7731 0.7461 4.2017 4.0548
2024-25 Rouyn-Noranda Huskies QMJHL 63 37 48 85 1.349 0.6629 0.6071 3.6028 3.2998
■ 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
+62.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

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

NCAAe Rankings

#3654
Forward overall
#75
Forward born in 2004
#71
in QMJHL

D1 Comparables

Mike Szmatula
USHL · 2012-13 · 1.21 PPG
→ Northeastern (1.05 D1 FR PPG)
0.65 Elite
NCAAe PPG
Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota State (0.15 D1 FR PPG)
0.49 Developing
NCAAe PPG
Tim Bonner
USHL · 2012-13 · 0.89 PPG
→ Yale
0.48 No data
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.46 Developing
NCAAe PPG
Kyle Novak
USHL · 2012-13 · 1.20 PPG
→ Western Michigan (0.19 D1 FR PPG)
0.65 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.