| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Youngstown Phantoms | USHL | 53 | 29 | 30 | 59 | 1.113 | 0.6843 | 0.7299 | 3.2797 | 3.4983 |
| 2012-13 | Youngstown Phantoms | USHL | 56 | 21 | 43 | 64 | 1.143 | 0.7025 | 0.7120 | 3.3672 | 3.4125 |
| 2019-20 | Nürnberg Ice Tigers | DEL | 14 | 2 | 1 | 3 | 0.214 | 0.2344 | 0.2344 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Boston College | D1 | HockeyEast | — | 39 | 21 | 14 | 35 | 0.897 |
| 2015-16 | Boston College | D1 | HockeyEast | — | 41 | 20 | 17 | 37 | 0.902 |
| 2013-14 | Boston College | D1 | HockeyEast | — | 40 | 10 | 16 | 26 | 0.650 |
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.