| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Connecticut Nor'Easter | EHL | 3 | 1 | 0 | 1 | 0.333 | 0.0715 | 0.0751 | 0.1632 | 0.1715 |
| 2018-19 | New Jersey 87's | EHL | 40 | 3 | 18 | 21 | 0.525 | 0.1127 | 0.1128 | 0.2571 | 0.2572 |
| 2019-20 | New Jersey 87's | EHL | 42 | 3 | 34 | 37 | 0.881 | 0.1891 | 0.1891 | 0.4314 | 0.4314 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | UMass Dartmouth | D3 | HockeyEast | FR | 3 | 1 | 1 | 2 | 0.667 |
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.