| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Victoria Grizzlies | BCHL | 44 | 1 | 4 | 5 | 0.114 | 0.0423 | 0.0431 | 0.1655 | 0.1685 |
| 2024-25 | Victoria Grizzlies | BCHL | 23 | 8 | 16 | 24 | 1.044 | 0.3887 | 0.3763 | 1.5205 | 1.4720 |
| 2025-26 | Shawinigan Cataractes | QMJHL | 26 | 1 | 5 | 6 | 0.231 | 0.1148 | 0.1031 | 0.6155 | 0.5530 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Quinnipiac | D1 | ECAC | SO | 9 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Quinnipiac | D1 | ECAC | — | 23 | 1 | 3 | 4 | 0.174 |
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.