| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Amherst/Sweet Home/Clarence | USHS-W | 21 | 4 | 11 | 15 | 0.714 | 0.2079 | 0.2261 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Stonehill | D1 | NEWHA | SR | 37 | 18 | 8 | 26 | 0.703 |
| 2024-25 | Stonehill | D1 | NEWHA | JR | 36 | 11 | 5 | 16 | 0.444 |
| 2023-24 | Stonehill | D1 | NEWHA | SO | 36 | 13 | 10 | 23 | 0.639 |
| 2022-23 | Stonehill | D1 | NEWHA | FR | 34 | 11 | 7 | 18 | 0.529 |
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.