| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Austin | USHS-MN | 25 | 0 | 3 | 3 | 0.120 | 0.0323 | 0.0323 | 0.0291 | 0.0291 |
| 2020-21 | Chilliwack Chiefs | BCHL | 20 | 3 | 8 | 11 | 0.550 | 0.2049 | 0.2049 | 0.8014 | 0.8014 |
| 2021-22 | Chilliwack Chiefs | BCHL | 54 | 25 | 40 | 65 | 1.204 | 0.4484 | 0.4933 | 1.7539 | 1.9297 |
| 2022-23 | Chicago Steel | USHL | 62 | 6 | 19 | 25 | 0.403 | 0.2478 | 0.2550 | 1.1879 | 1.2223 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Harvard | D1 | ECAC | JR | 3 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Harvard | D1 | ECAC | SO | 31 | 5 | 4 | 9 | 0.290 |
| 2023-24 | Harvard | D1 | ECAC | FR | 32 | 4 | 12 | 16 | 0.500 |
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.