| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Waterloo Black Hawks | USHL | 3 | 0 | 1 | 1 | 0.333 | 0.2049 | 0.2236 | 0.9820 | 1.0715 |
| 2022-23 | Waterloo Black Hawks | USHL | 62 | 18 | 23 | 41 | 0.661 | 0.4065 | 0.4224 | 1.9483 | 2.0246 |
| 2023-24 | Waterloo Black Hawks | USHL | 58 | 22 | 20 | 42 | 0.724 | 0.4451 | 0.4404 | 2.1333 | 2.1108 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Northeastern | D1 | HockeyEast | SO | 36 | 6 | 9 | 15 | 0.417 |
| 2024-25 | Northeastern | D1 | HockeyEast | — | 37 | 1 | 2 | 3 | 0.081 |
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.