| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | New Jersey Jr. Titans | EHL | 4 | 3 | 1 | 4 | 1.000 | 0.2310 | 0.2613 | 0.4893 | 0.5534 |
| 2016-17 | Cedar Rapids RoughRiders | USHL | 16 | 2 | 1 | 3 | 0.188 | 0.1106 | 0.1044 | 0.5631 | 0.5317 |
| 2017-18 | Wilkes-Barre/Scranton Knights | NAHL | 57 | 19 | 28 | 47 | 0.825 | 0.3030 | 0.2805 | 0.8704 | 0.8057 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Salve Regina | D3 | CNE | — | 9 | 3 | 1 | 4 | 0.444 |
| 2018-19 | Salve Regina | D3 | CNE | — | 23 | 4 | 7 | 11 | 0.478 |
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.