| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Dubuque Fighting Saints | USHL | 52 | 6 | 6 | 12 | 0.231 | 0.1470 | 0.1455 | 0.6916 | 0.6846 |
| 2012-13 | Sioux Falls Stampede | USHL | 63 | 11 | 22 | 33 | 0.524 | 0.3336 | 0.3125 | 1.5697 | 1.4703 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Princeton | D1 | ECAC | SR | 33 | 2 | 5 | 7 | 0.212 |
| 2015-16 | Princeton | D1 | ECAC | JR | 31 | 5 | 5 | 10 | 0.323 |
| 2014-15 | Princeton | D1 | ECAC | SO | 27 | 1 | 4 | 5 | 0.185 |
| 2013-14 | Princeton | D1 | ECAC | FR | 32 | 5 | 7 | 12 | 0.375 |
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.