| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Lone Star Brahmas | NAHL | 48 | 5 | 6 | 11 | 0.229 | 0.0851 | 0.0892 | 0.2427 | 0.2544 |
| 2014-15 | Lone Star Brahmas | NAHL | 43 | 11 | 11 | 22 | 0.512 | 0.1900 | 0.1892 | 0.5417 | 0.5395 |
| 2015-16 | Fairbanks Ice Dogs | NAHL | 58 | 17 | 22 | 39 | 0.672 | 0.2497 | 0.2376 | 0.7119 | 0.6774 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Aurora | D3 | NCHA | SR | 26 | 8 | 7 | 15 | 0.577 |
| 2018-19 | Aurora | D3 | NCHA | JR | 26 | 4 | 4 | 8 | 0.308 |
| 2017-18 | Aurora | D3 | NCHA | SO | 25 | 5 | 9 | 14 | 0.560 |
| 2016-17 | Aurora | D3 | NCHA | FR | 14 | 5 | 8 | 13 | 0.929 |
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.