| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Villanova Knights | OJHL | 56 | 32 | 46 | 78 | 1.393 | 0.4184 | 0.4026 | 0.9534 | 0.9174 |
| 2010-11 | Villanova Knights | OJHL | 41 | 28 | 54 | 82 | 2.000 | 0.6008 | 0.5502 | 1.3690 | 1.2537 |
| 2021-22 | Dinamo Riga | KHL | 17 | 3 | 4 | 7 | 0.412 | 1.0295 | 0.8105 | — | — |
| 2022-23 | Grizzlys Wolfsburg | DEL | 18 | 2 | 3 | 5 | 0.278 | 0.3038 | 0.2466 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Brown | D1 | ECAC | SR | 29 | 11 | 12 | 23 | 0.793 |
| 2013-14 | Brown | D1 | ECAC | JR | 29 | 10 | 19 | 29 | 1.000 |
| 2012-13 | Brown | D1 | ECAC | SO | 36 | 22 | 15 | 37 | 1.028 |
| 2011-12 | Brown | D1 | ECAC | FR | 24 | 4 | 13 | 17 | 0.708 |
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.