| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Lone Star Brahmas | NAHL | 22 | 5 | 3 | 8 | 0.364 | 0.1292 | 0.1274 | 0.3817 | 0.3765 |
| 2015-16 | Lone Star Brahmas | NAHL | 45 | 10 | 8 | 18 | 0.400 | 0.1421 | 0.1339 | 0.4200 | 0.3956 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Adrian | D3 | NCHA | SR | 17 | 0 | 3 | 3 | 0.176 |
| 2018-19 | Adrian | D3 | NCHA | JR | 4 | 0 | 1 | 1 | 0.250 |
| 2017-18 | Adrian | D3 | NCHA | SO | 26 | 1 | 2 | 3 | 0.115 |
| 2016-17 | Adrian | D3 | NCHA | FR | 18 | 2 | 2 | 4 | 0.222 |
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.