| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Fort McMurray Oil Barons | AJHL | 42 | 2 | 10 | 12 | 0.286 | 0.0958 | 0.0972 | 0.2648 | 0.2686 |
| 2022-23 | Fort McMurray Oil Barons | AJHL | 58 | 3 | 10 | 13 | 0.224 | 0.0752 | 0.0726 | 0.2077 | 0.2004 |
| 2023-24 | Fort McMurray Oil Barons | AJHL | 31 | 2 | 8 | 10 | 0.323 | 0.1082 | 0.0993 | 0.2990 | 0.2744 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Aurora | D3 | NCHA | SO | 32 | 5 | 21 | 26 | 0.812 |
| 2024-25 | Aurora | D3 | NCHA | — | 30 | 0 | 19 | 19 | 0.633 |
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.