| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Connecticut Jr. Rangers | NCDC | 21 | 3 | 3 | 6 | 0.286 | 0.1593 | 0.1584 | 0.2310 | 0.2297 |
| 2022-23 | H.C. Rhode Island | EHL | 44 | 17 | 20 | 37 | 0.841 | 0.2959 | 0.2860 | 0.4123 | 0.3985 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Fitchburg State | D3 | MASCAC | GR | 24 | 2 | 7 | 9 | 0.375 |
| 2024-25 | Fitchburg State | D3 | MASCAC | SR | 29 | 6 | 8 | 14 | 0.483 |
| 2023-24 | Fitchburg State | D3 | MASCAC | JR | 19 | 6 | 8 | 14 | 0.737 |
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.