| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Canmore Eagles | AJHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2019-20 | Brooks Bandits | AJHL | 8 | 0 | 2 | 2 | 0.250 | 0.0838 | 0.0838 | 0.2306 | 0.2306 |
| 2020-21 | Brooks Bandits | AJHL | 14 | 4 | 2 | 6 | 0.429 | 0.1438 | 0.1438 | 0.3953 | 0.3953 |
| 2021-22 | Brooks Bandits | AJHL | 27 | 2 | 12 | 14 | 0.518 | 0.1739 | 0.1691 | 0.4783 | 0.4652 |
| 2022-23 | Brooks Bandits | AJHL | 51 | 13 | 43 | 56 | 1.098 | 0.3683 | 0.3400 | 1.0128 | 0.9348 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Long Island Univ. | D1 | AHA | JR | 10 | 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.