| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | — | USHL | 2 | 2 | 1 | 3 | 1.500 | 0.8848 | 0.9570 | 4.5051 | 4.8729 |
| 2015-16 | — | QMJHL | 33 | 16 | 11 | 27 | 0.818 | 0.4020 | 0.3948 | 2.1848 | 2.1457 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Boston University | D1 | HockeyEast | — | 18 | 1 | 4 | 5 | 0.278 |
| 2014-15 | Boston University | D1 | HockeyEast | — | 37 | 3 | 4 | 7 | 0.189 |
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.