| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Niverville Nighthawks | MJHL | 53 | 2 | 18 | 20 | 0.377 | 0.0726 | 0.0796 | 0.2385 | 0.2616 |
| 2024-25 | Niverville Nighthawks | MJHL | 53 | 7 | 32 | 39 | 0.736 | 0.1416 | 0.1475 | 0.4650 | 0.4844 |
| 2025-26 | Waterloo Black Hawks | USHL | 62 | 3 | 7 | 10 | 0.161 | 0.0952 | 0.0924 | 0.4840 | 0.4696 |
| 2026-27 | Portland Winterhawks | WHL | 4 | 1 | 0 | 1 | 0.250 | 0.1216 | 0.1216 | 0.6107 | 0.6107 |
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.