| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Kitchener Rangers | OHL | 31 | 3 | 6 | 9 | 0.290 | 0.1685 | 0.1771 | 0.7439 | 0.7817 |
| 2022-23 | Kitchener Rangers | OHL | 47 | 4 | 7 | 11 | 0.234 | 0.1358 | 0.1368 | 0.5996 | 0.6041 |
| 2023-24 | Kitchener Rangers | OHL | 65 | 23 | 35 | 58 | 0.892 | 0.5178 | 0.4969 | 2.2865 | 2.1943 |
| 2024-25 | Kitchener Rangers | OHL | 67 | 31 | 38 | 69 | 1.030 | 0.5977 | 0.5428 | 2.6391 | 2.3965 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Clarkson | D1 | ECAC | FR | 6 | 2 | 2 | 4 | 0.667 |
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.