| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Connecticut Jr. Rangers | USPHL-Premier-Classic | 16 | 1 | 6 | 7 | 0.438 | 0.1314 | 0.1417 | 0.3604 | 0.3888 |
| 2017-18 | — | NCDC | 44 | 7 | 8 | 15 | 0.341 | 0.0961 | 0.0976 | 0.2760 | 0.2802 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Anna Maria | D3 | MASCAC | SR | 21 | 7 | 9 | 16 | 0.762 |
| 2020-21 | Anna Maria | D3 | MASCAC | JR | 6 | 2 | 4 | 6 | 1.000 |
| 2019-20 | Anna Maria | D3 | MASCAC | SO | 25 | 17 | 19 | 36 | 1.440 |
| 2018-19 | Anna Maria | D3 | MASCAC | FR | 23 | 7 | 12 | 19 | 0.826 |
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.