| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Notre Dame Hounds | SJHL | 2 | 2 | 0 | 2 | 1.000 | 0.3046 | 0.3046 | 0.7411 | 0.7411 |
| 2020-21 | Notre Dame Hounds | SJHL | 5 | 0 | 2 | 2 | 0.400 | 0.1218 | 0.1218 | 0.2964 | 0.2964 |
| 2021-22 | Notre Dame Hounds | SJHL | 58 | 30 | 49 | 79 | 1.362 | 0.4149 | 0.4374 | 1.0095 | 1.0643 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Princeton | D1 | ECAC | SR | 33 | 1 | 4 | 5 | 0.151 |
| 2024-25 | Princeton | D1 | ECAC | JR | 28 | 5 | 4 | 9 | 0.321 |
| 2023-24 | Princeton | D1 | ECAC | SO | 17 | 1 | 0 | 1 | 0.059 |
| 2022-23 | Princeton | D1 | ECAC | FR | 9 | 0 | 3 | 3 | 0.333 |
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.