| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | — | NAHL | 57 | 26 | 26 | 52 | 0.912 | 0.3352 | 0.3113 | 0.9629 | 0.8943 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Utica | D3 | UCHC | — | 26 | 12 | 14 | 26 | 1.000 |
| 2013-14 | Utica | D3 | UCHC | — | 27 | 6 | 12 | 18 | 0.667 |
| 2012-13 | Utica | D3 | UCHC | — | 28 | 18 | 18 | 36 | 1.286 |
| 2011-12 | Nichols | D3 | CNE | — | 27 | 27 | 15 | 42 | 1.556 |
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.