| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | New Jersey Jr. Titans | NAHL | 13 | 3 | 2 | 5 | 0.385 | 0.1428 | 0.1420 | 0.4072 | 0.4049 |
| 2018-19 | Northern Cyclones | NCDC | 49 | 9 | 16 | 25 | 0.510 | 0.1438 | 0.1357 | 0.4131 | 0.3900 |
| 2019-20 | Boston Jr. Bruins | USPHL-Elite | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Endicott | D3 | CNE | SR | 27 | 1 | 11 | 12 | 0.444 |
| 2021-22 | Endicott | D3 | CNE | JR | 21 | 1 | 3 | 4 | 0.191 |
| 2020-21 | Endicott | D3 | CNE | SO | 3 | 0 | 2 | 2 | 0.667 |
| 2019-20 | Endicott | D3 | CNE | FR | 22 | 3 | 9 | 12 | 0.545 |
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.