| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Sherwood Park Crusaders | AJHL | 13 | 0 | 3 | 3 | 0.231 | 0.0766 | 0.0766 | 0.2139 | 0.2139 |
| 2021-22 | Sherwood Park Crusaders | AJHL | 58 | 10 | 22 | 32 | 0.552 | 0.1831 | 0.1921 | 0.5113 | 0.5363 |
| 2022-23 | Dubuque Fighting Saints | USHL | 57 | 4 | 11 | 15 | 0.263 | 0.1618 | 0.1582 | 0.7754 | 0.7583 |
| 2023-24 | Dubuque Fighting Saints | USHL | 59 | 2 | 10 | 12 | 0.203 | 0.1250 | 0.1160 | 0.5993 | 0.5563 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Alaska Fairbanks | D1 | WCHA | SO | 19 | 0 | 5 | 5 | 0.263 |
| 2024-25 | Alaska Fairbanks | D1 | — | — | 25 | 1 | 7 | 8 | 0.320 |
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.