| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Chicago Steel | USHL | 30 | 4 | 4 | 8 | 0.267 | 0.1698 | 0.1812 | 0.7992 | 0.8527 |
| 2013-14 | — | USHL | 37 | 5 | 3 | 8 | 0.216 | 0.1377 | 0.1405 | 0.6479 | 0.6610 |
| 2014-15 | Lincoln Stars | USHL | 58 | 20 | 14 | 34 | 0.586 | 0.3733 | 0.3625 | 1.7567 | 1.7059 |
| 2015-16 | Lincoln Stars | USHL | 51 | 16 | 24 | 40 | 0.784 | 0.4994 | 0.4617 | 2.3503 | 2.1730 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Northeastern | D1 | HockeyEast | SR | 32 | 4 | 3 | 7 | 0.219 |
| 2018-19 | Northeastern | D1 | HockeyEast | JR | 34 | 4 | 4 | 8 | 0.235 |
| 2017-18 | Northeastern | D1 | HockeyEast | SO | 28 | 3 | 7 | 10 | 0.357 |
| 2016-17 | Northeastern | D1 | HockeyEast | FR | 28 | 1 | 3 | 4 | 0.143 |
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.