| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Brantford Bulldogs | OHL | 34 | 3 | 7 | 10 | 0.294 | 0.1701 | 0.1865 | 0.7557 | 0.8284 |
| 2022-23 | Brantford Bulldogs | OHL | 65 | 3 | 25 | 28 | 0.431 | 0.2492 | 0.2624 | 1.1069 | 1.1656 |
| 2023-24 | Brantford Bulldogs | OHL | 66 | 5 | 21 | 26 | 0.394 | 0.2279 | 0.2291 | 1.0121 | 1.0173 |
| 2024-25 | Brantford Bulldogs | OHL | 68 | 4 | 17 | 21 | 0.309 | 0.1786 | 0.1703 | 0.7935 | 0.7566 |
| 2025-26 | Brantford Bulldogs | OHL | 66 | 11 | 22 | 33 | 0.500 | 0.2893 | 0.2613 | 1.2848 | 1.1604 |
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.