| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Rochester Monarchs | NCDC | 43 | 21 | 14 | 35 | 0.814 | 0.2294 | 0.2211 | 0.6590 | 0.6351 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Endicott | D3 | CNE | GR | 28 | 8 | 18 | 26 | 0.929 |
| 2022-23 | Endicott | D3 | CNE | SR | 27 | 13 | 11 | 24 | 0.889 |
| 2021-22 | Endicott | D3 | CNE | JR | 25 | 10 | 13 | 23 | 0.920 |
| 2020-21 | Endicott | D3 | CNE | SO | 3 | 2 | 5 | 7 | 2.333 |
| 2019-20 | Endicott | D3 | CNE | FR | 27 | 15 | 18 | 33 | 1.222 |
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.