| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Salisbury School | NE-Prep | 28 | 9 | 8 | 17 | 0.607 | 0.1203 | 0.1203 | 0.2766 | 0.2766 |
| 2023-24 | Brooks Bandits | AJHL | 42 | 10 | 20 | 30 | 0.714 | 0.2396 | 0.2419 | 0.6610 | 0.6673 |
| 2024-25 | Erie Otters | OHL | 38 | 2 | 11 | 13 | 0.342 | 0.1979 | 0.1847 | 0.8790 | 0.8206 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Holy Cross | D1 | AHA | FR | 38 | 4 | 4 | 8 | 0.210 |
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.