| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Lone Star Brahmas | NAHL | 42 | 8 | 5 | 13 | 0.309 | 0.1149 | 0.1167 | 0.3277 | 0.3327 |
| 2016-17 | Lone Star Brahmas | NAHL | 49 | 24 | 17 | 41 | 0.837 | 0.3107 | 0.2986 | 0.8859 | 0.8514 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Wisconsin-Superior | D3 | BigTen | SR | 9 | 1 | 4 | 5 | 0.556 |
| 2019-20 | Wisconsin-Superior | D3 | BigTen | JR | 25 | 13 | 13 | 26 | 1.040 |
| 2018-19 | Wisconsin-Superior | D3 | BigTen | SO | 26 | 13 | 10 | 23 | 0.885 |
| 2017-18 | RPI | D1 | — | FR | 16 | 3 | 5 | 8 | 0.500 |
| 2017-18 | Wisconsin-Superior | D3 | BigTen | FR | 12 | 8 | 4 | 12 | 1.000 |
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.