| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Bay State Breakers | USPHL-Premier-Classic | 44 | 9 | 19 | 28 | 0.636 | 0.1911 | 0.1923 | 0.5242 | 0.5275 |
| 2015-16 | South Shore Kings | USPHL-Premier-Classic | 37 | 12 | 12 | 24 | 0.649 | 0.1948 | 0.1865 | 0.5343 | 0.5115 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | SUNY Plattsburgh | D3 | — | FR | 15 | 5 | 7 | 12 | 0.800 |
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.