| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Renfrew Wolves | CCHL | 27 | 1 | 1 | 2 | 0.074 | 0.0161 | 0.0165 | 0.0574 | 0.0588 |
| 2023-24 | — | MJHL | 43 | 4 | 6 | 10 | 0.233 | 0.0448 | 0.0438 | 0.1466 | 0.1434 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wentworth | D3 | CNE | — | 21 | 3 | 1 | 4 | 0.191 |
| 2024-25 | Wentworth | D3 | CNE | — | 19 | 2 | 0 | 2 | 0.105 |
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.