| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Rochester Monarchs | USPHL-Premier | 13 | 3 | 2 | 5 | 0.385 | 0.0503 | 0.0486 | — | — |
| 2018-19 | — | USPHL-Premier | 31 | 13 | 20 | 33 | 1.065 | 0.1392 | 0.1271 | 0.3613 | 0.3299 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Chatham | D1 | UCHC | FR | 10 | 1 | 1 | 2 | 0.200 |
| 2019-20 | Chatham | D3 | UCHC | — | 10 | 1 | 1 | 2 | 0.200 |
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.