| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Cobourg Cougars | OJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | North Bay Battalion | OHL | 54 | 7 | 6 | 13 | 0.241 | 0.1392 | 0.1513 | 0.6185 | 0.6721 |
| 2023-24 | North Bay Battalion | OHL | 61 | 20 | 18 | 38 | 0.623 | 0.3604 | 0.3744 | 1.6008 | 1.6629 |
| 2024-25 | North Bay Battalion | OHL | 55 | 17 | 21 | 38 | 0.691 | 0.3997 | 0.3946 | 1.7753 | 1.7526 |
| 2025-26 | Owen Sound Attack | OHL | 5 | 2 | 2 | 4 | 0.800 | 0.4628 | 0.4336 | 2.0556 | 1.9259 |
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.