| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Northern Cyclones | USPHL-Premier | 36 | 6 | 10 | 16 | 0.444 | 0.0581 | 0.0581 | 0.1508 | 0.1508 |
| 2020-21 | Northern Cyclones | USPHL-Premier | 38 | 12 | 18 | 30 | 0.789 | 0.1033 | 0.1033 | 0.2680 | 0.2680 |
| 2021-22 | Northern Cyclones | USPHL-Premier | 43 | 23 | 30 | 53 | 1.233 | 0.1612 | 0.1500 | 0.4183 | 0.3894 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Wentworth | D3 | CNE | — | 17 | 2 | 2 | 4 | 0.235 |
| 2022-23 | Wentworth | D3 | CNE | — | 21 | 4 | 4 | 8 | 0.381 |
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.