| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Amarillo Wranglers | NAHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Amarillo Wranglers | NAHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | — | USPHL-Premier | 26 | 8 | 10 | 18 | 0.692 | 0.0932 | 0.0901 | 0.2357 | 0.2279 |
| 2018-19 | — | USPHL-Premier | 39 | 19 | 33 | 52 | 1.333 | 0.1795 | 0.1641 | 0.4539 | 0.4148 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Lawrence | D3 | NCHA | SR | 11 | 0 | 4 | 4 | 0.364 |
| 2021-22 | Lawrence | D3 | NCHA | JR | 25 | 9 | 13 | 22 | 0.880 |
| 2020-21 | Lawrence | D3 | NCHA | SO | 9 | 3 | 2 | 5 | 0.556 |
| 2019-20 | Lawrence | D3 | NCHA | FR | 16 | 1 | 3 | 4 | 0.250 |
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.