| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | EHL | 15 | 7 | 11 | 18 | 1.200 | 0.4223 | 0.4180 | 0.5884 | 0.5825 |
| 2019-20 | New England Wolves | EHL | 44 | 15 | 27 | 42 | 0.955 | 0.3359 | 0.3359 | 0.4680 | 0.4680 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Southern New Hampshire | D2 | NE10 | SR | 27 | 12 | 13 | 25 | 0.926 |
| 2022-23 | Southern New Hampshire | D2 | NE10 | JR | 27 | 8 | 10 | 18 | 0.667 |
| 2021-22 | Southern New Hampshire | D2 | NE10 | SO | 22 | 8 | 13 | 21 | 0.955 |
| 2020-21 | Southern New Hampshire | D2 | NE10 | FR | 0 | 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.