| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Tilton | NE-Prep | 23 | 0 | 4 | 4 | 0.174 | 0.0335 | 0.0335 | 0.0796 | 0.0796 |
| 2022-23 | Tilton | NE-Prep | 28 | 1 | 6 | 7 | 0.250 | 0.0482 | 0.0482 | 0.1144 | 0.1144 |
| 2023-24 | Cornwall Colts | CCHL | 21 | 1 | 2 | 3 | 0.143 | 0.0310 | 0.0305 | 0.1106 | 0.1089 |
| 2024-25 | Thunder Hockey Club | NCDC | 47 | 2 | 9 | 11 | 0.234 | 0.0541 | 0.0519 | 0.1892 | 0.1815 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Johnson & Wales | D3 | CNE | — | 21 | 0 | 4 | 4 | 0.191 |
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.