| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Philadelphia Jr. Flyers | EHL | 37 | 4 | 8 | 12 | 0.324 | 0.1141 | 0.1135 | 0.1590 | 0.1581 |
| 2016-17 | Philadelphia Jr. Flyers | EHL | 20 | 1 | 10 | 11 | 0.550 | 0.1935 | 0.1836 | 0.2697 | 0.2560 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Lake Superior State | D1 | WCHA | FR | 3 | 0 | 0 | 0 | 0.000 |
| 2019-20 | SUNY Brockport | D3 | — | JR | 21 | 0 | 0 | 0 | 0.000 |
| 2018-19 | SUNY Brockport | D3 | — | SO | 17 | 1 | 0 | 1 | 0.059 |
| 2017-18 | SUNY Brockport | D3 | — | FR | 10 | 0 | 2 | 2 | 0.200 |
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.