| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Nichols | NE-Prep | 6 | 1 | 1 | 2 | 0.333 | 0.0660 | 0.0660 | 0.1519 | 0.1519 |
| 2019-20 | Cedar Rapids RoughRiders | USHL | 37 | 1 | 5 | 6 | 0.162 | 0.0957 | 0.0957 | 0.4872 | 0.4872 |
| 2020-21 | Fargo Force | USHL | 52 | 0 | 4 | 4 | 0.077 | 0.0454 | 0.0454 | 0.2310 | 0.2310 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Cornell | D1 | ECAC | SR | 36 | 0 | 11 | 11 | 0.306 |
| 2023-24 | Cornell | D1 | ECAC | JR | 32 | 0 | 5 | 5 | 0.156 |
| 2022-23 | Cornell | D1 | ECAC | SO | 33 | 1 | 6 | 7 | 0.212 |
| 2021-22 | Cornell | D1 | ECAC | FR | 6 | 0 | 0 | 0 | 0.000 |
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.