| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Elliot Lake Bobcats | NOJHL | 48 | 18 | 23 | 41 | 0.854 | 0.1440 | 0.1445 | 0.3549 | 0.3561 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Manhattanville | D3 | UCHC | SR | 26 | 8 | 8 | 16 | 0.615 |
| 2016-17 | Manhattanville | D3 | UCHC | JR | 26 | 7 | 9 | 16 | 0.615 |
| 2015-16 | Manhattanville | D3 | UCHC | SO | 26 | 14 | 9 | 23 | 0.885 |
| 2014-15 | Manhattanville | D3 | UCHC | FR | 26 | 8 | 7 | 15 | 0.577 |
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.