| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Lincoln Stars | USHL | 59 | 54 | 50 | 104 | 1.763 | 1.0835 | 1.0869 | 5.1933 | 5.2095 |
| 2022-23 | HIFK | Liiga | 19 | 1 | 5 | 6 | 0.316 | 0.7895 | 0.6487 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Northeastern | D1 | HockeyEast | SR | 29 | 10 | 16 | 26 | 0.897 |
| 2014-15 | Northeastern | D1 | HockeyEast | JR | 35 | 19 | 25 | 44 | 1.257 |
| 2013-14 | Northeastern | D1 | HockeyEast | SO | 37 | 19 | 27 | 46 | 1.243 |
| 2012-13 | Northeastern | D1 | HockeyEast | FR | 29 | 17 | 17 | 34 | 1.172 |
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.