| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Philadelphia Little Flyers | EHL | 44 | 19 | 42 | 61 | 1.386 | 0.2975 | 0.2922 | 0.6789 | 0.6669 |
| 2014-15 | Philadelphia Little Flyers | EHL | 32 | 15 | 29 | 44 | 1.375 | 0.2951 | 0.2761 | 0.6733 | 0.6299 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | SUNY Cortland | D3 | — | FR | 13 | 2 | 4 | 6 | 0.462 |
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.