| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | New Hampton | NE-Prep | 12 | 0 | 3 | 3 | 0.250 | 0.0495 | 0.0495 | 0.1139 | 0.1139 |
| 2021-22 | New Hampton | NE-Prep | 28 | 4 | 3 | 7 | 0.250 | 0.0495 | 0.0495 | 0.1139 | 0.1139 |
| 2022-23 | New Hampton | NE-Prep | 33 | 8 | 8 | 16 | 0.485 | 0.0960 | 0.0960 | 0.2209 | 0.2209 |
| 2023-24 | — | NCDC | 29 | 2 | 2 | 4 | 0.138 | 0.0562 | 0.0554 | 0.1108 | 0.1092 |
| 2024-25 | Connecticut Nor'Easter | EHL | 39 | 18 | 20 | 38 | 0.974 | 0.2251 | 0.2148 | 0.4768 | 0.4550 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. John Fisher | D3 | UCHC | FR | 15 | 1 | 2 | 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.