| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | NTDP-U18 | 57 | 3 | 12 | 15 | 0.263 | 0.2041 | 0.2122 | 0.9796 | 1.0182 |
| 2019-20 | — | NTDP-U18 | 46 | 3 | 9 | 12 | 0.261 | 0.2023 | 0.2023 | 0.9710 | 0.9710 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Minnesota | D1 | BigTen | JR | 38 | 4 | 23 | 27 | 0.711 |
| 2021-22 | Minnesota | D1 | BigTen | SO | 32 | 2 | 12 | 14 | 0.438 |
| 2020-21 | Minnesota | D1 | BigTen | FR | 27 | 1 | 11 | 12 | 0.444 |
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.