| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Regina Pats | WHL | 18 | 1 | 0 | 1 | 0.056 | 0.0270 | 0.0270 | 0.1362 | 0.1362 |
| 2021-22 | Regina Pats | WHL | 58 | 10 | 7 | 17 | 0.293 | 0.1426 | 0.1497 | 0.7182 | 0.7538 |
| 2022-23 | Regina Pats | WHL | 67 | 10 | 14 | 24 | 0.358 | 0.1743 | 0.1748 | 0.8777 | 0.8802 |
| 2023-24 | Regina Pats | WHL | 52 | 17 | 35 | 52 | 1.000 | 0.4865 | 0.4639 | 2.4503 | 2.3366 |
| 2024-25 | Regina Pats | WHL | 59 | 8 | 14 | 22 | 0.373 | 0.1814 | 0.1633 | 0.9137 | 0.8225 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Arizona State | D1 | NCHC | FR | 16 | 0 | 1 | 1 | 0.062 |
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.