| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Minnesota Mullets | USPHL-Premier | 42 | 15 | 39 | 54 | 1.286 | 0.1731 | 0.1731 | 0.4377 | 0.4377 |
| 2021-22 | Minnesota Mullets | USPHL-Premier | 36 | 11 | 25 | 36 | 1.000 | 0.1346 | 0.1265 | 0.3404 | 0.3200 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Southern Maine | D3 | NEHC | SO | 4 | 0 | 2 | 2 | 0.500 |
| 2022-23 | Southern Maine | D3 | NEHC | FR | 9 | 1 | 3 | 4 | 0.444 |
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.