| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Nanaimo Clippers | BCHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Nipawin Hawks | SJHL | 33 | 5 | 6 | 11 | 0.333 | 0.0854 | 0.0889 | 0.2470 | 0.2572 |
| 2023-24 | Portage Terriers | MJHL | 49 | 12 | 22 | 34 | 0.694 | 0.1336 | 0.1313 | 0.4373 | 0.4299 |
| 2024-25 | Pembroke Lumber Kings | CCHL | 45 | 12 | 18 | 30 | 0.667 | 0.1446 | 0.1347 | 0.5161 | 0.4809 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Buffalo State | D3 | SUNYAC | — | 9 | 0 | 1 | 1 | 0.111 |
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.