| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Soo Eagles | NOJHL | 49 | 18 | 15 | 33 | 0.673 | 0.1125 | 0.1137 | 0.2804 | 0.2835 |
| 2017-18 | — | NAHL | 27 | 2 | 6 | 8 | 0.296 | 0.1089 | 0.1060 | 0.3127 | 0.3044 |
| 2018-19 | Amarillo Wranglers | NAHL | 60 | 12 | 21 | 33 | 0.550 | 0.2021 | 0.1877 | 0.5805 | 0.5391 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Elmira | D3 | UCHC | — | 26 | 6 | 10 | 16 | 0.615 |
| 2021-22 | Utica | D3 | UCHC | GR | 9 | 1 | 2 | 3 | 0.333 |
| 2020-21 | Utica | D1 | UCHC | SO | 10 | 2 | 4 | 6 | 0.600 |
| 2020-21 | Utica | D3 | UCHC | SR | 10 | 2 | 4 | 6 | 0.600 |
| 2019-20 | Utica | D1 | UCHC | FR | 13 | 1 | 4 | 5 | 0.385 |
| 2019-20 | Utica | D3 | UCHC | JR | 13 | 1 | 4 | 5 | 0.385 |
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.