| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Janesville Jets | NAHL | 33 | 0 | 6 | 6 | 0.182 | 0.0720 | 0.0720 | 0.1909 | 0.1909 |
| 2020-21 | South Shore Kings | NCDC | 33 | 15 | 23 | 38 | 1.151 | 0.6421 | 0.6421 | 0.9311 | 0.9311 |
| 2021-22 | Maryland Black Bears | NAHL | 59 | 17 | 42 | 59 | 1.000 | 0.3962 | 0.3887 | 1.0499 | 1.0300 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Clarkson | D1 | ECAC | SR | 38 | 9 | 27 | 36 | 0.947 |
| 2024-25 | Clarkson | D1 | ECAC | — | 39 | 8 | 11 | 19 | 0.487 |
| 2023-24 | Brown | D1 | ECAC | — | 30 | 3 | 16 | 19 | 0.633 |
| 2022-23 | Brown | D1 | ECAC | — | 30 | 6 | 15 | 21 | 0.700 |
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.