| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Cushing Academy | NE-Prep | 33 | 5 | 10 | 15 | 0.455 | 0.0900 | 0.0900 | 0.2071 | 0.2071 |
| 2019-20 | Cushing Academy | NE-Prep | 34 | 7 | 8 | 15 | 0.441 | 0.0874 | 0.0874 | 0.2010 | 0.2010 |
| 2020-21 | — | NCDC | 34 | 4 | 3 | 7 | 0.206 | 0.0839 | 0.0839 | 0.1655 | 0.1655 |
| 2021-22 | P.A.L. Junior Islanders | NCDC | 47 | 7 | 10 | 17 | 0.362 | 0.1475 | 0.1446 | 0.2907 | 0.2850 |
| 2022-23 | P.A.L. Junior Islanders | NCDC | 50 | 10 | 13 | 23 | 0.460 | 0.1875 | 0.1760 | 0.3697 | 0.3470 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Connecticut College | D3 | NESCAC | GR | 25 | 3 | 5 | 8 | 0.320 |
| 2024-25 | Connecticut College | D3 | NESCAC | SR | 25 | 4 | 2 | 6 | 0.240 |
| 2023-24 | Connecticut College | D3 | NESCAC | JR | 25 | 1 | 5 | 6 | 0.240 |
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.