| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Wayzata | USHS-MN | 28 | 11 | 34 | 45 | 1.607 | 0.2035 | 0.2035 | 0.3902 | 0.3902 |
| 2023-24 | — | NTDP-U18 | 30 | 8 | 9 | 17 | 0.567 | 0.4212 | 0.4371 | 2.1250 | 2.2050 |
| 2024-25 | U.S. National U17 Team | NTDP-U18 | 66 | 18 | 21 | 39 | 0.591 | 0.4392 | 0.4351 | 2.2158 | 2.1951 |
| 2025-26 | Penticton Vees | WHL | 65 | 35 | 50 | 85 | 1.308 | 0.6362 | 0.6440 | 3.1943 | 3.2335 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Minnesota | D1 | BigTen | FR | 0 | 0 | 0 | 0 | 0.000 |
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.