| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Kent School | NE-Prep | 28 | 1 | 0 | 1 | 0.036 | 0.0101 | 0.0101 | 0.0163 | 0.0163 |
| 2022-23 | Kent School | NE-Prep | 26 | 1 | 13 | 14 | 0.538 | 0.1519 | 0.1519 | 0.2464 | 0.2464 |
| 2023-24 | Kent School | NE-Prep | 28 | 3 | 17 | 20 | 0.714 | 0.2015 | 0.2015 | 0.3269 | 0.3269 |
| 2024-25 | Waterloo Black Hawks | USHL | 60 | 9 | 3 | 12 | 0.200 | 0.1229 | 0.1166 | 0.5892 | 0.5590 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Lawrence | D1 | ECAC | FR | 11 | 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.