| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | NAHL | 41 | 3 | 4 | 7 | 0.171 | 0.0634 | 0.0652 | 0.1807 | 0.1857 |
| 2014-15 | Lone Star Brahmas | NAHL | 54 | 4 | 7 | 11 | 0.204 | 0.0756 | 0.0737 | 0.2157 | 0.2104 |
| 2015-16 | Lone Star Brahmas | NAHL | 60 | 11 | 15 | 26 | 0.433 | 0.1609 | 0.1498 | 0.4588 | 0.4272 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Nichols | D3 | CNE | SR | 27 | 7 | 15 | 22 | 0.815 |
| 2018-19 | Nichols | D3 | CNE | JR | 26 | 4 | 14 | 18 | 0.692 |
| 2017-18 | Nichols | D3 | CNE | SO | 30 | 5 | 15 | 20 | 0.667 |
| 2016-17 | Nichols | D3 | CNE | FR | 27 | 4 | 7 | 11 | 0.407 |
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.