| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | New Jersey Rockets | EHL | 44 | 31 | 20 | 51 | 1.159 | 0.4079 | 0.4561 | 0.5683 | 0.6355 |
| 2017-18 | Dubuque Fighting Saints | USHL | 6 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | Des Moines Buccaneers | USHL | 57 | 30 | 27 | 57 | 1.000 | 0.6147 | 0.5940 | 2.9462 | 2.8469 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Boston University | D1 | HockeyEast | — | 39 | 16 | 31 | 47 | 1.205 |
| 2021-22 | Boston University | D1 | HockeyEast | — | 24 | 7 | 10 | 17 | 0.708 |
| 2020-21 | UMass Lowell | D1 | HockeyEast | SO | 19 | 8 | 5 | 13 | 0.684 |
| 2019-20 | UMass Lowell | D1 | HockeyEast | FR | 33 | 6 | 18 | 24 | 0.727 |
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.