| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Philadelphia Jr. Flyers | EHL | 1 | 0 | 1 | 1 | 1.000 | 0.2146 | 0.2300 | 0.4897 | 0.5249 |
| 2018-19 | WB/Scranton Knights | EHL | 39 | 16 | 17 | 33 | 0.846 | 0.1816 | 0.1855 | 0.4144 | 0.4234 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Chatham | D3 | UCHC | SR | 25 | 2 | 3 | 5 | 0.200 |
| 2021-22 | Chatham | D3 | UCHC | JR | 24 | 4 | 5 | 9 | 0.375 |
| 2020-21 | Chatham | D3 | UCHC | SO | 13 | 1 | 1 | 2 | 0.154 |
| 2019-20 | Chatham | D3 | UCHC | FR | 25 | 5 | 1 | 6 | 0.240 |
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.