| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Blackfalds Bulldogs | AJHL | 44 | 7 | 11 | 18 | 0.409 | 0.1357 | 0.1398 | 0.3792 | 0.3907 |
| 2022-23 | Blackfalds Bulldogs | AJHL | 55 | 19 | 30 | 49 | 0.891 | 0.2956 | 0.2899 | 0.8257 | 0.8099 |
| 2023-24 | Blackfalds Bulldogs | AJHL | 48 | 33 | 39 | 72 | 1.500 | 0.4977 | 0.4647 | 1.3902 | 1.2980 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Providence | D1 | HockeyEast | — | 3 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Alaska Fairbanks | D1 | — | — | 31 | 3 | 11 | 14 | 0.452 |
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.