| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Philadelphia Revolution | EHL | 35 | 2 | 7 | 9 | 0.257 | 0.0552 | 0.0563 | 0.1259 | 0.1284 |
| 2015-16 | New York Apple Core | EHL | 31 | 4 | 17 | 21 | 0.677 | 0.1454 | 0.1419 | 0.3317 | 0.3238 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Post | D2 | NE10 | SR | 23 | 2 | 5 | 7 | 0.304 |
| 2018-19 | Post | D2 | NE10 | JR | 25 | 7 | 10 | 17 | 0.680 |
| 2017-18 | Post | D2 | NE10 | SO | 22 | 4 | 9 | 13 | 0.591 |
| 2016-17 | Post | D2 | NE10 | FR | 6 | 1 | 2 | 3 | 0.500 |
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.