| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Boston Advantage | NCDC | 20 | 1 | 1 | 2 | 0.100 | 0.0231 | 0.0235 | 0.0809 | 0.0823 |
| 2022-23 | Utah Outliers | USPHL-Premier | 52 | 30 | 37 | 67 | 1.288 | 0.1453 | 0.1396 | 0.4383 | 0.4212 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. John Fisher | D3 | UCHC | JR | 23 | 4 | 10 | 14 | 0.609 |
| 2024-25 | Wilkes | D3 | MAC | — | 18 | 7 | 5 | 12 | 0.667 |
| 2023-24 | Wilkes | D3 | MAC | — | 5 | 1 | 0 | 1 | 0.200 |
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.