| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Philadelphia Little Flyers | EHL | 46 | 19 | 25 | 44 | 0.957 | 0.2053 | 0.1982 | 0.4684 | 0.4522 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Nichols | D3 | CNE | SR | 4 | 1 | 1 | 2 | 0.500 |
| 2019-20 | Nichols | D3 | CNE | JR | 24 | 0 | 3 | 3 | 0.125 |
| 2018-19 | Nichols | D3 | CNE | SO | 8 | 1 | 0 | 1 | 0.125 |
| 2017-18 | Nichols | D3 | CNE | FR | 23 | 6 | 1 | 7 | 0.304 |
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.