| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Amarillo Bulls | NAHL | 48 | 18 | 20 | 38 | 0.792 | 0.2940 | 0.3000 | 0.8383 | 0.8555 |
| 2011-12 | Indiana Ice | USHL | 44 | 3 | 7 | 10 | 0.227 | 0.1447 | 0.1354 | 0.6811 | 0.6372 |
| 2012-13 | Fresno Monsters | NAHL | 40 | 6 | 17 | 23 | 0.575 | 0.2135 | 0.1966 | 0.6088 | 0.5607 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Milwaukee School of Engineering | D3 | — | FR | 5 | 2 | 3 | 5 | 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.