| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | New Jersey Jr. Titans | EHL | 31 | 5 | 2 | 7 | 0.226 | 0.0522 | 0.0554 | 0.1105 | 0.1173 |
| 2014-15 | New Jersey Jr. Titans | EHL | 3 | 0 | 1 | 1 | 0.333 | 0.0770 | 0.0781 | 0.1631 | 0.1655 |
| 2015-16 | P.A.L. Junior Islanders | USPHL-Premier-Classic | 29 | 9 | 18 | 27 | 0.931 | 0.2613 | 0.2549 | 0.7655 | 0.7466 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Vermont | D1 | HockeyEast | — | 0 | 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.