| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Utah Outliers | USPHL-Premier | 37 | 1 | 10 | 11 | 0.297 | 0.0400 | 0.0400 | 0.1012 | 0.1012 |
| 2021-22 | Utah Outliers | USPHL-Premier | 28 | 5 | 19 | 24 | 0.857 | 0.1154 | 0.1090 | 0.2918 | 0.2757 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Southern Maine | D3 | NEHC | SO | 21 | 3 | 5 | 8 | 0.381 |
| 2022-23 | Southern Maine | D3 | NEHC | FR | 18 | 1 | 5 | 6 | 0.333 |
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.