| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | New York Apple Core | EHL | 41 | 7 | 10 | 17 | 0.415 | 0.0890 | 0.0907 | 0.2030 | 0.2069 |
| 2016-17 | — | EHL | 39 | 18 | 15 | 33 | 0.846 | 0.1816 | 0.1769 | 0.4144 | 0.4036 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Wentworth | D3 | CNE | SR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Wentworth | D3 | CNE | JR | 28 | 6 | 6 | 12 | 0.429 |
| 2018-19 | Wentworth | D3 | CNE | SO | 21 | 4 | 2 | 6 | 0.286 |
| 2017-18 | Wentworth | D3 | CNE | FR | 18 | 4 | 3 | 7 | 0.389 |
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.