| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Toronto Patriots | OJHL | 4 | 0 | 2 | 2 | 0.500 | 0.1226 | 0.1457 | 0.3442 | 0.4090 |
| 2024-25 | Saginaw Spirit | OHL | 54 | 16 | 27 | 43 | 0.796 | 0.4607 | 0.5170 | 2.0850 | 2.3398 |
| 2025-26 | Saginaw Spirit | OHL | 59 | 36 | 39 | 75 | 1.271 | 0.7354 | 0.7882 | 3.3285 | 3.5677 |
| 2026-27 | Saginaw Spirit | OHL | 6 | 7 | 5 | 12 | 2.000 | 1.1570 | 1.1570 | 5.2368 | 5.2368 |
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.