| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Rouyn-Noranda Huskies | QMJHL | 19 | 1 | 2 | 3 | 0.158 | 0.0785 | 0.0785 | 0.4211 | 0.4211 |
| 2021-22 | Rouyn-Noranda Huskies | QMJHL | 64 | 16 | 11 | 27 | 0.422 | 0.2098 | 0.2235 | 1.1252 | 1.1987 |
| 2022-23 | Rouyn-Noranda Huskies | QMJHL | 63 | 28 | 28 | 56 | 0.889 | 0.4420 | 0.4492 | 2.3707 | 2.4096 |
| 2023-24 | Rouyn-Noranda Huskies | QMJHL | 66 | 32 | 25 | 57 | 0.864 | 0.4294 | 0.4153 | 2.3032 | 2.2274 |
| 2024-25 | Shawinigan Cataractes | QMJHL | 63 | 30 | 40 | 70 | 1.111 | 0.5524 | 0.5071 | 2.9633 | 2.7201 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Lindenwood | D1 | CCHA | FR | 30 | 10 | 11 | 21 | 0.700 |
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.