| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | USHL | 34 | 0 | 4 | 4 | 0.118 | 0.0694 | 0.0760 | 0.3465 | 0.3795 |
| 2021-22 | — | QMJHL | 25 | 2 | 11 | 13 | 0.520 | 0.2587 | 0.2442 | 1.3868 | 1.3090 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | UConn | D1 | HockeyEast | SO | 16 | 1 | 5 | 6 | 0.375 |
| 2019-20 | UConn | D1 | HockeyEast | FR | 34 | 2 | 9 | 11 | 0.324 |
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.