| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Benilde-St. Margaret's | USHS-MN | 26 | 2 | 9 | 11 | 0.423 | 0.0521 | 0.0521 | 0.1028 | 0.1028 |
| 2021-22 | Anchorage Wolverines | NAHL | 30 | 0 | 5 | 5 | 0.167 | 0.0592 | 0.0592 | 0.1750 | 0.1751 |
| 2022-23 | Anchorage Wolverines | NAHL | 31 | 4 | 6 | 10 | 0.323 | 0.1146 | 0.1090 | 0.3387 | 0.3223 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Saint John's | D3 | MIAC | JR | 27 | 12 | 11 | 23 | 0.852 |
| 2024-25 | Saint John's | D3 | MIAC | SO | 25 | 6 | 7 | 13 | 0.520 |
| 2023-24 | Saint John's | D3 | MIAC | FR | 22 | 3 | 5 | 8 | 0.364 |
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.