| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | New York Apple Core | EHL | 49 | 9 | 19 | 28 | 0.571 | 0.1226 | 0.1151 | 0.2798 | 0.2627 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Milwaukee School of Engineering | D3 | NCHA | SR | 22 | 0 | 3 | 3 | 0.136 |
| 2020-21 | Milwaukee School of Engineering | D3 | — | JR | 2 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Milwaukee School of Engineering | D3 | — | SO | 4 | 0 | 0 | 0 | 0.000 |
| 2018-19 | Milwaukee School of Engineering | D3 | — | FR | 2 | 0 | 0 | 0 | 0.000 |
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.