| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Proctor Academy | NE-Prep | 16 | 2 | 4 | 6 | 0.375 | 0.0723 | 0.0723 | 0.1716 | 0.1716 |
| 2022-23 | Proctor Academy | NE-Prep | 15 | 7 | 1 | 8 | 0.533 | 0.1029 | 0.1029 | 0.2440 | 0.2440 |
| 2023-24 | Proctor Academy | NE-Prep | 30 | 9 | 14 | 23 | 0.767 | 0.1479 | 0.1479 | 0.3508 | 0.3508 |
| 2024-25 | Amarillo Wranglers | NAHL | 12 | 1 | 0 | 1 | 0.083 | 0.0296 | 0.0282 | 0.0875 | 0.0835 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Saint Anselm | D2 | NE10 | — | 15 | 0 | 3 | 3 | 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.