| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Rockland Nationals | CCHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | Rockland Nationals | CCHL | 49 | 22 | 23 | 45 | 0.918 | 0.1992 | 0.2132 | 0.7106 | 0.7606 |
| 2014-15 | Rockland Nationals | CCHL | 49 | 33 | 37 | 70 | 1.429 | 0.3099 | 0.3174 | 1.1053 | 1.1320 |
| 2020-21 | ERC Ingolstadt | DEL | 31 | 7 | 7 | 14 | 0.452 | 1.1290 | 1.1290 | 3.8288 | 3.8288 |
| 2022-23 | Augsburger Panther | DEL | 54 | 15 | 17 | 32 | 0.593 | 1.4815 | 1.6427 | 5.0242 | 5.5708 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Princeton | D1 | ECAC | SR | 31 | 22 | 22 | 44 | 1.419 |
| 2017-18 | Princeton | D1 | ECAC | JR | 36 | 29 | 23 | 52 | 1.444 |
| 2016-17 | Princeton | D1 | ECAC | SO | 34 | 19 | 17 | 36 | 1.059 |
| 2015-16 | Princeton | D1 | ECAC | FR | 31 | 5 | 15 | 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.