| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Wisconsin Rapids Riverkings | USPHL-Elite | 42 | 12 | 18 | 30 | 0.714 | 0.0659 | 0.0671 | 0.1636 | 0.1666 |
| 2017-18 | Charlotte Rush | USPHL-Premier | 32 | 18 | 7 | 25 | 0.781 | 0.1022 | 0.0992 | 0.2651 | 0.2574 |
| 2018-19 | Charlotte Rush | USPHL-Premier | 41 | 28 | 35 | 63 | 1.537 | 0.2010 | 0.1845 | 0.5215 | 0.4787 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Fredonia | D3 | SUNYAC | SR | 22 | 5 | 1 | 6 | 0.273 |
| 2021-22 | Fredonia | D3 | SUNYAC | JR | 22 | 4 | 4 | 8 | 0.364 |
| 2019-20 | Fredonia | D1 | SUNYAC | FR | 22 | 3 | 3 | 6 | 0.273 |
| 2019-20 | Fredonia | D3 | SUNYAC | FR | 22 | 3 | 3 | 6 | 0.273 |
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.