| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | North York Rangers | OJHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | Niagara IceDogs | OHL | 62 | 8 | 31 | 39 | 0.629 | 0.3754 | 0.4138 | 1.6292 | 1.7957 |
| 2025-26 | — | OHL | 62 | 19 | 27 | 46 | 0.742 | 0.4428 | 0.4658 | 1.9217 | 2.0214 |
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.