| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | — | USPHL-Premier-Classic | 18 | 0 | 1 | 1 | 0.056 | 0.0167 | 0.0169 | 0.0458 | 0.0462 |
| 2016-17 | Utica Jr. Comets | USPHL-Premier-Classic | 45 | 3 | 12 | 15 | 0.333 | 0.1001 | 0.0961 | 0.2745 | 0.2636 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | SUNY Potsdam | D3 | — | JR | 26 | 1 | 4 | 5 | 0.192 |
| 2018-19 | SUNY Potsdam | D3 | — | SO | 25 | 1 | 3 | 4 | 0.160 |
| 2017-18 | SUNY Potsdam | D3 | — | FR | 25 | 3 | 5 | 8 | 0.320 |
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.