| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Philadelphia Jr. Flyers | EHL | 43 | 4 | 3 | 7 | 0.163 | 0.0349 | 0.0350 | 0.0797 | 0.0798 |
| 2014-15 | Philadelphia Jr. Flyers | EHL | 44 | 21 | 17 | 38 | 0.864 | 0.1853 | 0.1769 | 0.4229 | 0.4038 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Western New England | D3 | CNE | SR | 25 | 8 | 11 | 19 | 0.760 |
| 2017-18 | Western New England | D3 | CNE | JR | 26 | 16 | 15 | 31 | 1.192 |
| 2016-17 | Western New England | D3 | CNE | SO | 23 | 7 | 5 | 12 | 0.522 |
| 2015-16 | Western New England | D3 | CNE | FR | 19 | 5 | 2 | 7 | 0.368 |
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.