| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Burlington Cougars | OJHL | 50 | 11 | 24 | 35 | 0.700 | 0.1956 | 0.1760 | 0.4831 | 0.4348 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Salem State | D3 | MASCAC | SR | 27 | 6 | 7 | 13 | 0.481 |
| 2016-17 | Salem State | D3 | MASCAC | JR | 28 | 7 | 5 | 12 | 0.429 |
| 2015-16 | Salem State | D3 | MASCAC | SO | 28 | 5 | 6 | 11 | 0.393 |
| 2014-15 | Salem State | D3 | MASCAC | FR | 14 | 0 | 0 | 0 | 0.000 |
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.