| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Bay State Bobcats | NA3HL | 37 | 38 | 26 | 64 | 1.730 | 0.2171 | 0.2181 | 0.5461 | 0.5487 |
| 2017-18 | Bay State Bobcats | NA3HL | 12 | 14 | 16 | 30 | 2.500 | 0.3137 | 0.2993 | 0.7893 | 0.7530 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Buffalo State | D1 | SUNYAC | FR | 1 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Buffalo State | D3 | SUNYAC | — | 1 | 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.