| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | — | EHL | 41 | 11 | 18 | 29 | 0.707 | 0.1518 | 0.1525 | 0.3464 | 0.3481 |
| 2015-16 | Northern Cyclones | EHL | 36 | 16 | 28 | 44 | 1.222 | 0.2623 | 0.2520 | 0.5985 | 0.5751 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Utica | D3 | UCHC | SR | 28 | 7 | 12 | 19 | 0.679 |
| 2018-19 | Utica | D3 | UCHC | JR | 23 | 6 | 5 | 11 | 0.478 |
| 2017-18 | Utica | D3 | UCHC | SO | 11 | 1 | 5 | 6 | 0.545 |
| 2016-17 | Utica | D3 | UCHC | FR | 24 | 11 | 7 | 18 | 0.750 |
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.