| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | New Hampton | NE-Prep | 13 | 5 | 4 | 9 | 0.692 | 0.1953 | 0.1953 | 0.3168 | 0.3168 |
| 2021-22 | New Hampton | NE-Prep | 30 | 12 | 14 | 26 | 0.867 | 0.2445 | 0.2445 | 0.3966 | 0.3966 |
| 2022-23 | Boston Jr. Bruins | USPHL-Premier | 39 | 25 | 26 | 51 | 1.308 | 0.4310 | 0.4308 | 0.4449 | 0.4447 |
| 2023-24 | Boston Jr. Bruins | NCDC | 51 | 28 | 21 | 49 | 0.961 | 0.5357 | 0.5130 | 0.7769 | 0.7440 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Elmira | D3 | UCHC | FR | 25 | 4 | 10 | 14 | 0.560 |
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.