| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Windsor Spitfires | OHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Windsor Spitfires | OHL | 57 | 6 | 23 | 29 | 0.509 | 0.2943 | 0.3100 | 1.3074 | 1.3773 |
| 2024-25 | Windsor Spitfires | OHL | 66 | 3 | 35 | 38 | 0.576 | 0.3331 | 0.3337 | 1.4795 | 1.4822 |
| 2025-26 | Windsor Spitfires | OHL | 68 | 12 | 51 | 63 | 0.926 | 0.5360 | 0.5100 | 2.3806 | 2.2653 |
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.