| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | NTDP-U18 | 55 | 21 | 18 | 39 | 0.709 | 0.5498 | 0.5554 | 2.6392 | 2.6661 |
| 2019-20 | — | NTDP-U18 | 34 | 7 | 15 | 22 | 0.647 | 0.5018 | 0.5018 | 2.4084 | 2.4084 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Wisconsin | D1 | BigTen | — | 14 | 1 | 1 | 2 | 0.143 |
| 2021-22 | Quinnipiac | D1 | ECAC | SO | 41 | 13 | 10 | 23 | 0.561 |
| 2020-21 | Quinnipiac | D1 | ECAC | FR | 29 | 14 | 7 | 21 | 0.724 |
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.