| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | New Jersey Jr. Titans | NAHL | 47 | 4 | 11 | 15 | 0.319 | 0.1185 | 0.1204 | 0.3379 | 0.3432 |
| 2018-19 | New Jersey Jr. Titans | NAHL | 46 | 4 | 17 | 21 | 0.457 | 0.1695 | 0.1646 | 0.4833 | 0.4693 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Endicott | D3 | CNE | SR | 10 | 0 | 1 | 1 | 0.100 |
| 2021-22 | Endicott | D3 | CNE | JR | 23 | 3 | 12 | 15 | 0.652 |
| 2020-21 | Endicott | D3 | CNE | SO | 3 | 0 | 4 | 4 | 1.333 |
| 2019-20 | Endicott | D3 | CNE | FR | 17 | 2 | 10 | 12 | 0.706 |
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.