| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | — | USPHL-Elite | 37 | 16 | 11 | 27 | 0.730 | 0.0875 | 0.0889 | 0.1675 | 0.1701 |
| 2016-17 | Valley Jr. Warriors | EHL | 43 | 12 | 15 | 27 | 0.628 | 0.1347 | 0.1325 | 0.3075 | 0.3025 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Chatham | D3 | UCHC | SR | 11 | 2 | 1 | 3 | 0.273 |
| 2019-20 | Chatham | D3 | UCHC | JR | 9 | 0 | 1 | 1 | 0.111 |
| 2018-19 | Chatham | D3 | UCHC | SO | 21 | 5 | 1 | 6 | 0.286 |
| 2017-18 | Chatham | D3 | UCHC | FR | 23 | 2 | 2 | 4 | 0.174 |
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.