| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Thayer Academy | NE-Prep | 27 | 3 | 5 | 8 | 0.296 | 0.0836 | 0.0836 | 0.1356 | 0.1356 |
| 2021-22 | — | USHL | 48 | 6 | 6 | 12 | 0.250 | 0.1537 | 0.1484 | 0.7366 | 0.7112 |
| 2022-23 | Green Bay Gamblers | USHL | 53 | 8 | 13 | 21 | 0.396 | 0.2435 | 0.2225 | 1.1673 | 1.0664 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bentley | D1 | AHA | GR | 22 | 2 | 2 | 4 | 0.182 |
| 2024-25 | Bentley | D1 | AHA | SR | 22 | 0 | 4 | 4 | 0.182 |
| 2023-24 | Bentley | D1 | AHA | JR | 16 | 0 | 3 | 3 | 0.188 |
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.