| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Camrose Kodiaks | AJHL | 46 | 7 | 13 | 20 | 0.435 | 0.1443 | 0.1467 | 0.4030 | 0.4097 |
| 2022-23 | Camrose Kodiaks | AJHL | 60 | 14 | 24 | 38 | 0.633 | 0.2101 | 0.2032 | 0.5869 | 0.5676 |
| 2023-24 | Nanaimo Clippers | BCHL | 54 | 11 | 23 | 34 | 0.630 | 0.2345 | 0.2162 | 0.9174 | 0.8458 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Army | D1 | AHA | SO | 2 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Army | D1 | AHA | — | 3 | 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.