| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Salisbury School | NE-Prep | 26 | 2 | 2 | 4 | 0.154 | 0.0434 | 0.0434 | 0.0704 | 0.0704 |
| 2022-23 | New Hampshire Jr. Monarchs | NCDC | 27 | 2 | 4 | 6 | 0.222 | 0.1239 | 0.1289 | 0.2625 | 0.2722 |
| 2023-24 | Rochester Jr. Americans | NAHL | 56 | 3 | 7 | 10 | 0.179 | 0.0708 | 0.0700 | 0.1875 | 0.1854 |
| 2024-25 | Rochester Jr. Americans | NAHL | 56 | 7 | 19 | 26 | 0.464 | 0.1840 | 0.1723 | 0.4875 | 0.4565 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Army | D1 | AHA | FR | 20 | 1 | 3 | 4 | 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.