| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Brockville Braves | CCHL | 11 | 1 | 1 | 2 | 0.182 | 0.0394 | 0.0455 | 0.1393 | 0.1609 |
| 2022-23 | Brockville Braves | CCHL | 6 | 1 | 0 | 1 | 0.167 | 0.0362 | 0.0402 | 0.1277 | 0.1418 |
| 2023-24 | Collingwood Blues | OJHL | 50 | 18 | 23 | 41 | 0.820 | 0.2010 | 0.2111 | 0.5644 | 0.5927 |
| 2024-25 | Kingston Frontenacs | OHL | 25 | 3 | 2 | 5 | 0.200 | 0.1157 | 0.1139 | 0.5237 | 0.5154 |
| 2025-26 | Kingston Frontenacs | OHL | 60 | 18 | 26 | 44 | 0.733 | 0.4242 | 0.3962 | 1.9201 | 1.7932 |
| 2026-27 | Kingston Frontenacs | OHL | 8 | 2 | 9 | 11 | 1.375 | 0.7954 | 0.7954 | 3.6003 | 3.6003 |
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.