| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Waterloo Black Hawks | USHL | 42 | 3 | 5 | 8 | 0.191 | 0.1171 | 0.1199 | 0.5613 | 0.5745 |
| 2022-23 | Omaha Lancers | USHL | 62 | 5 | 13 | 18 | 0.290 | 0.1784 | 0.1733 | 0.8553 | 0.8309 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Alaska Fairbanks | D1 | WCHA | JR | 31 | 0 | 6 | 6 | 0.194 |
| 2024-25 | Alaska Fairbanks | D1 | — | — | 31 | 0 | 5 | 5 | 0.161 |
| 2023-24 | UMass Lowell | D1 | HockeyEast | — | 15 | 1 | 0 | 1 | 0.067 |
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.