| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Northern Cyclones | EHL | 34 | 5 | 15 | 20 | 0.588 | 0.1262 | 0.1278 | 0.2880 | 0.2917 |
| 2015-16 | Philadelphia Flyers Elite | USPHL-Premier-Classic | 44 | 15 | 37 | 52 | 1.182 | 0.3549 | 0.3455 | 0.9734 | 0.9475 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | SUNY Oswego | D3 | — | JR | 7 | 1 | 3 | 4 | 0.571 |
| 2017-18 | SUNY Oswego | D3 | — | SO | 20 | 4 | 14 | 18 | 0.900 |
| 2016-17 | SUNY Oswego | D3 | — | FR | 13 | 2 | 4 | 6 | 0.462 |
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.