| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Chippewa Steel | NAHL | 34 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Northeast Generals | NAHL | 58 | 11 | 17 | 28 | 0.483 | 0.1774 | 0.1856 | 0.5096 | 0.5331 |
| 2023-24 | Northeast Generals | NAHL | 57 | 10 | 22 | 32 | 0.561 | 0.2063 | 0.2060 | 0.5926 | 0.5916 |
| 2024-25 | — | NAHL | 51 | 18 | 17 | 35 | 0.686 | 0.2521 | 0.2384 | 0.7244 | 0.6852 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Curry | D3 | CNE | FR | 10 | 0 | 2 | 2 | 0.200 |
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.