| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Barrie Colts | OHL | 10 | 2 | 0 | 2 | 0.200 | 0.1161 | 0.1191 | 0.5125 | 0.5259 |
| 2022-23 | Barrie Colts | OHL | 64 | 3 | 17 | 20 | 0.312 | 0.1813 | 0.1782 | 0.8008 | 0.7871 |
| 2023-24 | Barrie Colts | OHL | 63 | 18 | 7 | 25 | 0.397 | 0.2303 | 0.2153 | 1.0168 | 0.9508 |
| 2024-25 | North Bay Battalion | OHL | 68 | 12 | 20 | 32 | 0.471 | 0.2731 | 0.2413 | 1.2059 | 1.0653 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | RIT | D1 | AHA | FR | 36 | 8 | 17 | 25 | 0.694 |
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.