| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Northeast Generals | NAHL | 39 | 4 | 8 | 12 | 0.308 | 0.1142 | 0.1112 | 0.3258 | 0.3173 |
| 2018-19 | Northeast Generals | NAHL | 54 | 16 | 15 | 31 | 0.574 | 0.2132 | 0.1981 | 0.6079 | 0.5648 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Skidmore | D3 | SUNYAC | SR | 14 | 1 | 1 | 2 | 0.143 |
| 2021-22 | Skidmore | D3 | SUNYAC | JR | 18 | 2 | 3 | 5 | 0.278 |
| 2020-21 | Skidmore | D3 | SUNYAC | SO | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Skidmore | D3 | SUNYAC | FR | 25 | 5 | 6 | 11 | 0.440 |
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.