| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Corpus Christi IceRays | NAHL | 6 | 0 | 1 | 1 | 0.167 | 0.0612 | 0.0656 | 0.1760 | 0.1885 |
| 2015-16 | Corpus Christi IceRays | NAHL | 45 | 12 | 16 | 28 | 0.622 | 0.2286 | 0.2348 | 0.6567 | 0.6744 |
| 2016-17 | — | USHL | 55 | 8 | 15 | 23 | 0.418 | 0.2467 | 0.2323 | 1.2560 | 1.1828 |
| 2017-18 | — | NAHL | 4 | 1 | 0 | 1 | 0.250 | 0.0919 | 0.0848 | 0.2639 | 0.2436 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Utica | D3 | UCHC | GR | 29 | 12 | 19 | 31 | 1.069 |
| 2021-22 | Utica | D3 | UCHC | SR | 29 | 20 | 26 | 46 | 1.586 |
| 2020-21 | Utica | D1 | UCHC | JR | 10 | 1 | 9 | 10 | 1.000 |
| 2020-21 | Utica | D3 | UCHC | JR | 10 | 1 | 9 | 10 | 1.000 |
| 2019-20 | Utica | D1 | UCHC | SO | 25 | 10 | 10 | 20 | 0.800 |
| 2019-20 | Utica | D3 | UCHC | SO | 25 | 10 | 10 | 20 | 0.800 |
| 2018-19 | Utica | D1 | UCHC | FR | 18 | 8 | 6 | 14 | 0.778 |
| 2018-19 | Utica | D3 | UCHC | FR | 18 | 8 | 6 | 14 | 0.778 |
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.