| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Tabor | NE-Prep | 26 | 0 | 7 | 7 | 0.269 | 0.0519 | 0.0519 | 0.1232 | 0.1232 |
| 2021-22 | Frederick Gunn | NE-Prep | 33 | 2 | 4 | 6 | 0.182 | 0.0351 | 0.0351 | 0.0832 | 0.0832 |
| 2022-23 | Boston Advantage | NCDC | 14 | 1 | 3 | 4 | 0.286 | 0.0660 | 0.0661 | 0.2310 | 0.2312 |
| 2023-24 | New Hampshire Mountain Kings | NAHL | 57 | 10 | 13 | 23 | 0.404 | 0.1433 | 0.1361 | 0.4236 | 0.4022 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Endicott | D3 | CNE | — | 16 | 2 | 1 | 3 | 0.188 |
| 2024-25 | Endicott | D3 | CNE | — | 3 | 0 | 0 | 0 | 0.000 |
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.