| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | St. Georges | NE-Prep | 22 | 1 | 1 | 2 | 0.091 | 0.0256 | 0.0256 | 0.0416 | 0.0416 |
| 2021-22 | St. Georges | NE-Prep | 25 | 11 | 17 | 28 | 1.120 | 0.3160 | 0.3160 | 0.5125 | 0.5125 |
| 2022-23 | Cranbrook Bucks | BCHL | 51 | 24 | 15 | 39 | 0.765 | 0.2849 | 0.2988 | 1.1142 | 1.1684 |
| 2023-24 | Cranbrook Bucks | BCHL | 54 | 14 | 19 | 33 | 0.611 | 0.2276 | 0.2282 | 0.8904 | 0.8929 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Yale | D1 | ECAC | SO | 31 | 6 | 15 | 21 | 0.677 |
| 2024-25 | Yale | D1 | ECAC | — | 30 | 7 | 5 | 12 | 0.400 |
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.