| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | South Shore Kings | USPHL-Premier-Classic | 37 | 8 | 15 | 23 | 0.622 | 0.1867 | 0.1754 | 0.5120 | 0.4809 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Trinity | D3 | NESCAC | SR | 27 | 1 | 5 | 6 | 0.222 |
| 2017-18 | Trinity | D3 | NESCAC | JR | 23 | 4 | 3 | 7 | 0.304 |
| 2016-17 | Trinity | D3 | NESCAC | SO | 24 | 1 | 2 | 3 | 0.125 |
| 2015-16 | Trinity | D3 | NESCAC | FR | 18 | 3 | 5 | 8 | 0.444 |
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.