| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Fort Frances (Ontario) | USHS-MN | 7 | 0 | 4 | 4 | 0.571 | 0.0723 | 0.0723 | 0.1388 | 0.1388 |
| 2020-21 | Minnehaha Academy | USHS-MN | 19 | 23 | 11 | 34 | 1.790 | 0.2266 | 0.2266 | 0.4347 | 0.4347 |
| 2021-22 | Tampa Bay Juniors | USPHL-Premier | 44 | 30 | 24 | 54 | 1.227 | 0.1605 | 0.1608 | 0.4165 | 0.4172 |
| 2022-23 | Tampa Bay Juniors | USPHL-Premier | 43 | 26 | 23 | 49 | 1.139 | 0.1490 | 0.1419 | 0.3867 | 0.3683 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Johnson & Wales | D3 | CNE | SO | 26 | 15 | 5 | 20 | 0.769 |
| 2024-25 | Johnson & Wales | D3 | CNE | — | 22 | 3 | 4 | 7 | 0.318 |
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.