| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Fresno Monsters | USPHL-Premier | 21 | 20 | 23 | 43 | 2.048 | 0.2310 | 0.2286 | 0.6966 | 0.6894 |
| 2022-23 | Fresno Monsters | USPHL-Premier | 44 | 62 | 51 | 113 | 2.568 | 0.2897 | 0.2725 | 0.8737 | 0.8217 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Westfield State | D3 | MASCAC | — | 26 | 10 | 12 | 22 | 0.846 |
| 2023-24 | Westfield State | D3 | MASCAC | — | 27 | 17 | 11 | 28 | 1.037 |
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.