| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Philadelphia Jr. Flyers | EHL | 41 | 10 | 10 | 20 | 0.488 | 0.1047 | 0.1063 | 0.2389 | 0.2425 |
| 2016-17 | Philadelphia Jr. Flyers | EHL | 46 | 16 | 27 | 43 | 0.935 | 0.2006 | 0.1945 | 0.4578 | 0.4439 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Neumann | D3 | MAC | SR | 9 | 0 | 6 | 6 | 0.667 |
| 2019-20 | Neumann | D3 | MAC | JR | 26 | 8 | 14 | 22 | 0.846 |
| 2018-19 | Neumann | D3 | MAC | SO | 25 | 5 | 7 | 12 | 0.480 |
| 2017-18 | Neumann | D3 | MAC | FR | 20 | 1 | 2 | 3 | 0.150 |
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.