| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Noble & Greenough | NE-Prep | 26 | 1 | 4 | 5 | 0.192 | 0.0371 | 0.0371 | 0.0880 | 0.0880 |
| 2022-23 | Noble & Greenough | NE-Prep | 27 | 7 | 11 | 18 | 0.667 | 0.1286 | 0.1286 | 0.3051 | 0.3051 |
| 2023-24 | Rochester Jr. Americans | NAHL | 29 | 1 | 1 | 2 | 0.069 | 0.0245 | 0.0243 | 0.0724 | 0.0717 |
| 2024-25 | South Shore Kings | NCDC | 54 | 7 | 22 | 29 | 0.537 | 0.1241 | 0.1167 | 0.4342 | 0.4083 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Babson | D3 | LittleEast | FR | 26 | 2 | 3 | 5 | 0.192 |
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.