| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Avon Old Farms | NE-Prep | 26 | 0 | 2 | 2 | 0.077 | 0.0217 | 0.0217 | 0.0352 | 0.0352 |
| 2022-23 | Avon Old Farms | NE-Prep | 28 | 1 | 9 | 10 | 0.357 | 0.1007 | 0.1007 | 0.1634 | 0.1634 |
| 2023-24 | Avon Old Farms | NE-Prep | 27 | 0 | 10 | 10 | 0.370 | 0.1045 | 0.1045 | — | — |
| 2024-25 | West Kelowna Warriors | BCHL | 45 | 1 | 7 | 8 | 0.178 | 0.0662 | 0.0653 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Yale | D1 | ECAC | FR | 31 | 2 | 2 | 4 | 0.129 |
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.