| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Philadelphia Little Flyers | EHL | 38 | 4 | 25 | 29 | 0.763 | 0.1638 | 0.1654 | 0.3737 | 0.3773 |
| 2016-17 | Philadelphia Little Flyers | EHL | 48 | 16 | 44 | 60 | 1.250 | 0.2682 | 0.2586 | 0.6121 | 0.5902 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Tufts | D3 | NESCAC | SR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Tufts | D3 | NESCAC | JR | 20 | 2 | 1 | 3 | 0.150 |
| 2018-19 | Tufts | D3 | NESCAC | SO | 12 | 0 | 1 | 1 | 0.083 |
| 2017-18 | Tufts | D3 | NESCAC | FR | 16 | 2 | 3 | 5 | 0.312 |
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.