| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | — | USHS-MN | 24 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | — | USHL | 19 | 2 | 1 | 3 | 0.158 | 0.0931 | 0.0899 | 0.4738 | 0.4578 |
| 2018-19 | — | NAHL | 59 | 14 | 31 | 45 | 0.763 | 0.2802 | 0.2669 | 0.8061 | 0.7678 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Cornell | D1 | ECAC | — | 34 | 8 | 18 | 26 | 0.765 |
| 2021-22 | Cornell | D1 | ECAC | — | 32 | 5 | 18 | 23 | 0.719 |
| 2020-21 | Cornell | D1 | ECAC | — | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Cornell | D1 | ECAC | FR | 25 | 4 | 12 | 16 | 0.640 |
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.