| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Sarnia Sting | OHL | 25 | 0 | 3 | 3 | 0.120 | 0.0694 | 0.0727 | 0.3142 | 0.3292 |
| 2023-24 | Sarnia Sting | OHL | 65 | 11 | 19 | 30 | 0.462 | 0.2670 | 0.2669 | 1.2084 | 1.2082 |
| 2024-25 | Sarnia Sting | OHL | 60 | 8 | 37 | 45 | 0.750 | 0.4339 | 0.4114 | 1.9638 | 1.8620 |
| 2025-26 | Sarnia Sting | OHL | 48 | 7 | 19 | 26 | 0.542 | 0.3134 | 0.2814 | 1.4184 | 1.2736 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Niagara | D1 | AHA | FR | 0 | 0 | 0 | 0 | 0.000 |
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.