| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | New Jersey Rockets | NCDC | 3 | 0 | 1 | 1 | 0.333 | 0.1359 | 0.1468 | 0.2679 | 0.2893 |
| 2022-23 | Wenatchee Wild | BCHL | 31 | 1 | 5 | 6 | 0.194 | 0.0746 | 0.0756 | 0.2816 | 0.2852 |
| 2023-24 | Omaha Lancers | USHL | 53 | 5 | 9 | 14 | 0.264 | 0.1559 | 0.1467 | 0.7935 | 0.7467 |
| 2024-25 | Omaha Lancers | USHL | 62 | 4 | 11 | 15 | 0.242 | 0.1427 | 0.1270 | 0.7265 | 0.6466 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Northeastern | D1 | HockeyEast | FR | 29 | 2 | 1 | 3 | 0.103 |
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.