| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Toledo Cherokee | USPHL-Premier | 43 | 31 | 17 | 48 | 1.116 | 0.1259 | 0.1225 | 0.3798 | 0.3695 |
| 2022-23 | Toledo Cherokee | USPHL-Premier | 43 | 45 | 37 | 82 | 1.907 | 0.2151 | 0.1987 | 0.6488 | 0.5994 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Fitchburg State | D3 | MASCAC | GR | 26 | 6 | 7 | 13 | 0.500 |
| 2024-25 | Fitchburg State | D3 | MASCAC | SR | 26 | 12 | 5 | 17 | 0.654 |
| 2023-24 | Fitchburg State | D3 | MASCAC | JR | 14 | 4 | 2 | 6 | 0.429 |
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.