| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | — | NTDP-U18 | 49 | 12 | 24 | 36 | 0.735 | 0.5697 | 0.5697 | 2.7345 | 2.7345 |
| 2021-22 | — | NTDP-U18 | 59 | 12 | 17 | 29 | 0.491 | 0.3811 | 0.3694 | 1.8293 | 1.7729 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Minnesota | D1 | BigTen | JR | 40 | 8 | 12 | 20 | 0.500 |
| 2023-24 | Minnesota | D1 | BigTen | SO | 39 | 2 | 6 | 8 | 0.205 |
| 2022-23 | Minnesota | D1 | BigTen | FR | 36 | 2 | 8 | 10 | 0.278 |
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.