| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Muskegon Lumberjacks | USHL | 43 | 7 | 8 | 15 | 0.349 | 0.2058 | 0.2235 | 1.0276 | 1.1159 |
| 2017-18 | Muskegon Lumberjacks | USHL | 44 | 16 | 18 | 34 | 0.773 | 0.4558 | 0.4723 | 2.2765 | 2.3589 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | UConn | D1 | HockeyEast | — | 36 | 12 | 21 | 33 | 0.917 |
| 2020-21 | UConn | D1 | HockeyEast | — | 23 | 4 | 18 | 22 | 0.957 |
| 2019-20 | UConn | D1 | HockeyEast | — | 34 | 8 | 15 | 23 | 0.676 |
| 2018-19 | UConn | D1 | HockeyEast | — | 33 | 4 | 22 | 26 | 0.788 |
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.