| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Milton Academy | NE-Prep | 29 | 7 | 11 | 18 | 0.621 | 0.1751 | 0.1751 | 0.2840 | 0.2840 |
| 2021-22 | Cedar Rapids RoughRiders | USHL | 41 | 8 | 12 | 20 | 0.488 | 0.2999 | 0.2993 | 1.4372 | 1.4342 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Yale | D1 | ECAC | SR | 31 | 7 | 17 | 24 | 0.774 |
| 2024-25 | Yale | D1 | ECAC | JR | 18 | 10 | 7 | 17 | 0.944 |
| 2023-24 | Yale | D1 | ECAC | SO | 30 | 9 | 9 | 18 | 0.600 |
| 2022-23 | Yale | D1 | ECAC | FR | 32 | 8 | 7 | 15 | 0.469 |
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.