| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Utica Jr. Comets | USPHL-Premier | 35 | 14 | 25 | 39 | 1.114 | 0.3673 | 0.3639 | 0.3791 | 0.3756 |
| 2018-19 | Charlotte Rush | USPHL-Premier | 41 | 30 | 36 | 66 | 1.610 | 0.5306 | 0.4975 | 0.5477 | 0.5135 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | SUNY Cortland | D3 | — | FR | 18 | 2 | 1 | 3 | 0.167 |
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.