| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Fort McMurray Oil Barons | AJHL | 4 | 1 | 1 | 2 | 0.500 | 0.1677 | 0.1677 | 0.4634 | 0.4634 |
| 2022-23 | Winnipeg Blues | MJHL | 44 | 4 | 4 | 8 | 0.182 | 0.0350 | 0.0340 | 0.1146 | 0.1114 |
| 2023-24 | Winnipeg Blues | MJHL | 37 | 1 | 4 | 5 | 0.135 | 0.0260 | 0.0239 | 0.0851 | 0.0783 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Stevens Point | D3 | WIAC | SO | 18 | 0 | 1 | 1 | 0.056 |
| 2024-25 | Wisconsin-Stevens Point | D3 | WIAC | FR | 1 | 0 | 0 | 0 | 0.000 |
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.