| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Fresno Monsters | USPHL-Premier | 12 | 5 | 8 | 13 | 1.083 | 0.1417 | 0.1417 | 0.3677 | 0.3677 |
| 2021-22 | Utica Jr. Comets | NCDC | 44 | 11 | 14 | 25 | 0.568 | 0.2317 | 0.2430 | 0.4567 | 0.4790 |
| 2022-23 | Utica Jr. Comets | NCDC | 50 | 15 | 36 | 51 | 1.020 | 0.4159 | 0.4187 | 0.8199 | 0.8255 |
| 2023-24 | El Paso Rhinos | NAHL | 58 | 19 | 26 | 45 | 0.776 | 0.2851 | 0.2724 | 0.8190 | 0.7824 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Northern Michigan | D1 | CCHA | — | 32 | 2 | 3 | 5 | 0.156 |
| 2024-25 | Northern Michigan | D1 | CCHA | — | 26 | 2 | 3 | 5 | 0.192 |
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.