| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | New England Stars | NA3HL | 35 | 1 | 3 | 4 | 0.114 | 0.0143 | 0.0148 | 0.0361 | 0.0375 |
| 2017-18 | New England Stars | NA3HL | 40 | 4 | 11 | 15 | 0.375 | 0.0471 | 0.0465 | 0.1184 | 0.1169 |
| 2018-19 | New England Stars | NA3HL | 40 | 8 | 15 | 23 | 0.575 | 0.0722 | 0.0675 | 0.1815 | 0.1697 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Fitchburg State | D3 | MASCAC | — | 12 | 0 | 1 | 1 | 0.083 |
| 2019-20 | Anna Maria | D3 | MASCAC | — | 10 | 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.