| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | — | USHL | 22 | 2 | 4 | 6 | 0.273 | 0.1737 | 0.1670 | 0.8172 | 0.7856 |
| 2012-13 | Amarillo Bulls | NAHL | 57 | 24 | 26 | 50 | 0.877 | 0.3257 | 0.3084 | 0.9288 | 0.8794 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Trinity | D3 | NESCAC | SR | 31 | 13 | 21 | 34 | 1.097 |
| 2015-16 | Trinity | D3 | NESCAC | JR | 28 | 10 | 12 | 22 | 0.786 |
| 2014-15 | Trinity | D3 | NESCAC | SO | 29 | 16 | 22 | 38 | 1.310 |
| 2013-14 | Trinity | D3 | NESCAC | FR | 26 | 19 | 29 | 48 | 1.846 |
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.