| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Connecticut Jr. Rangers | USPHL-Premier | 44 | 31 | 20 | 51 | 1.159 | 0.3820 | 0.3921 | 0.3943 | 0.4047 |
| 2018-19 | — | NCDC | 35 | 6 | 8 | 14 | 0.400 | 0.2230 | 0.2184 | 0.3234 | 0.3168 |
| 2019-20 | — | NAHL | 49 | 7 | 6 | 13 | 0.265 | 0.1051 | 0.1051 | 0.2785 | 0.2785 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Elmira | D3 | UCHC | SR | 28 | 18 | 16 | 34 | 1.214 |
| 2022-23 | Elmira | D3 | UCHC | JR | 24 | 7 | 8 | 15 | 0.625 |
| 2021-22 | Elmira | D3 | UCHC | SO | 27 | 15 | 13 | 28 | 1.037 |
| 2020-21 | Elmira | D3 | UCHC | FR | 15 | 5 | 4 | 9 | 0.600 |
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.