| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Tri-City Storm | USHL | 58 | 21 | 9 | 30 | 0.517 | 0.3294 | 0.3181 | 1.5499 | 1.4966 |
| 2012-13 | Tri-City Storm | USHL | 47 | 18 | 24 | 42 | 0.894 | 0.5690 | 0.5192 | 2.6779 | 2.4433 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Yale | D1 | ECAC | SO | 1 | 0 | 0 | 0 | 0.000 |
| 2013-14 | Yale | D1 | ECAC | FR | 5 | 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.