| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Philadelphia Jr. Flyers | EHL | 44 | 19 | 13 | 32 | 0.727 | 0.1064 | 0.1067 | 0.3566 | 0.3577 |
| 2014-15 | Hartford Jr. Wolfpack | EHL | 42 | 12 | 31 | 43 | 1.024 | 0.1498 | 0.1433 | 0.5020 | 0.4801 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | King's | D1 | — | SR | 25 | 9 | 1 | 10 | 0.400 |
| 2018-19 | King's | D3 | MAC | — | 25 | 9 | 1 | 10 | 0.400 |
| 2017-18 | King's | D3 | MAC | — | 25 | 4 | 8 | 12 | 0.480 |
| 2016-17 | SUNY Brockport | D3 | — | — | 22 | 0 | 1 | 1 | 0.045 |
| 2015-16 | SUNY Brockport | D3 | — | — | 11 | 0 | 0 | 0 | 0.000 |
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.