| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Calgary Mustangs | AJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2019-20 | Grande Prairie Storm | AJHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | Camrose Kodiaks | AJHL | 9 | 3 | 5 | 8 | 0.889 | 0.2981 | 0.2981 | 0.8238 | 0.8238 |
| 2021-22 | Camrose Kodiaks | AJHL | 60 | 19 | 30 | 49 | 0.817 | 0.2739 | 0.2664 | 0.7569 | 0.7362 |
| 2022-23 | Camrose Kodiaks | AJHL | 60 | 18 | 27 | 45 | 0.750 | 0.2515 | 0.2322 | 0.6951 | 0.6417 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Stevens Point | D3 | WIAC | JR | 27 | 3 | 12 | 15 | 0.556 |
| 2024-25 | Wisconsin-Stevens Point | D3 | WIAC | SO | 21 | 3 | 15 | 18 | 0.857 |
| 2023-24 | Wisconsin-Stevens Point | D3 | WIAC | FR | 16 | 0 | 2 | 2 | 0.125 |
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.