| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | U.S. National U18 Team | NTDP-U18 | 50 | 16 | 17 | 33 | 0.660 | 0.5250 | 0.5118 | 2.4718 | 2.4098 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Harvard | D1 | ECAC | SR | 36 | 18 | 24 | 42 | 1.167 |
| 2015-16 | Harvard | D1 | ECAC | JR | 27 | 10 | 9 | 19 | 0.704 |
| 2014-15 | Harvard | D1 | ECAC | SO | 21 | 8 | 10 | 18 | 0.857 |
| 2013-14 | Harvard | D1 | ECAC | FR | 31 | 6 | 14 | 20 | 0.645 |
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.