| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Amarillo Bulls | NAHL | 48 | 2 | 16 | 18 | 0.375 | 0.1392 | 0.1466 | 0.3971 | 0.4181 |
| 2013-14 | Amarillo Bulls | NAHL | 59 | 8 | 26 | 34 | 0.576 | 0.2140 | 0.2146 | 0.6102 | 0.6118 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Princeton | D1 | ECAC | SR | 35 | 0 | 9 | 9 | 0.257 |
| 2016-17 | Princeton | D1 | ECAC | JR | 31 | 2 | 5 | 7 | 0.226 |
| 2015-16 | Princeton | D1 | ECAC | SO | 31 | 1 | 7 | 8 | 0.258 |
| 2014-15 | Princeton | D1 | ECAC | FR | 29 | 1 | 3 | 4 | 0.138 |
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.