| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Northern Colorado Eagles | USPHL-Premier | 49 | 11 | 22 | 33 | 0.673 | 0.0907 | 0.0881 | 0.2293 | 0.2227 |
| 2022-23 | Northern Colorado Eagles | USPHL-Premier | 35 | 9 | 14 | 23 | 0.657 | 0.0884 | 0.0815 | 0.2237 | 0.2062 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Fredonia | D3 | SUNYAC | FR | 5 | 0 | 0 | 0 | 0.000 |
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.