| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Georgetown Raiders | OJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Kingston Frontenacs | OHL | 58 | 15 | 19 | 34 | 0.586 | 0.3391 | 0.3690 | 1.5062 | 1.6388 |
| 2023-24 | Kingston Frontenacs | OHL | 44 | 15 | 17 | 32 | 0.727 | 0.4207 | 0.4376 | 1.8688 | 1.9439 |
| 2024-25 | Erie Otters | OHL | 65 | 15 | 23 | 38 | 0.585 | 0.3382 | 0.3343 | 1.5021 | 1.4850 |
| 2025-26 | Brantford Bulldogs | OHL | 68 | 24 | 30 | 54 | 0.794 | 0.4594 | 0.4310 | 2.0404 | 1.9144 |
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.