| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Amarillo Bulls | NAHL | 48 | 9 | 17 | 26 | 0.542 | 0.2011 | 0.2153 | 0.5736 | 0.6142 |
| 2013-14 | Amarillo Bulls | NAHL | 55 | 31 | 22 | 53 | 0.964 | 0.3578 | 0.3652 | 1.0203 | 1.0413 |
| 2014-15 | — | USHL | 55 | 11 | 3 | 14 | 0.255 | 0.1621 | 0.1518 | 0.7627 | 0.7140 |
| 2015-16 | Amarillo Bulls | NAHL | 28 | 7 | 6 | 13 | 0.464 | 0.1724 | 0.1593 | 0.4916 | 0.4542 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Vermont | D1 | HockeyEast | FR | 1 | 0 | 0 | 0 | 0.000 |
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.