| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Holderness | NE-Prep | 27 | 16 | 12 | 28 | 1.037 | 0.2000 | 0.2000 | 0.4745 | 0.4745 |
| 2022-23 | Boston Jr. Rangers | EHL | 43 | 8 | 14 | 22 | 0.512 | 0.0748 | 0.0742 | 0.2508 | 0.2488 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Babson | D3 | LittleEast | GR | 24 | 7 | 2 | 9 | 0.375 |
| 2024-25 | Babson | D3 | LittleEast | SR | 25 | 3 | 6 | 9 | 0.360 |
| 2023-24 | Babson | D3 | LittleEast | JR | 12 | 1 | 2 | 3 | 0.250 |
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.