| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Caledon Admirals | OJHL | 49 | 11 | 11 | 22 | 0.449 | 0.1100 | 0.1149 | 0.3091 | 0.3229 |
| 2024-25 | Caledon Admirals | OJHL | 48 | 12 | 14 | 26 | 0.542 | 0.1328 | 0.1319 | 0.3730 | 0.3705 |
| 2025-26 | — | OJHL | 56 | 19 | 24 | 43 | 0.768 | 0.1882 | 0.1767 | 0.5287 | 0.4963 |
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.