| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Connecticut Jr. Rangers | USPHL-Premier-Classic | 40 | 9 | 8 | 17 | 0.425 | 0.1276 | 0.1279 | 0.3501 | 0.3510 |
| 2017-18 | Connecticut Jr. Rangers | NCDC | 50 | 15 | 16 | 31 | 0.620 | 0.1747 | 0.1641 | 0.5020 | 0.4714 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Wilkes | D3 | MAC | SR | 23 | 5 | 11 | 16 | 0.696 |
| 2020-21 | Wilkes | D3 | MAC | JR | 11 | 3 | 3 | 6 | 0.545 |
| 2019-20 | Wilkes | D3 | MAC | SO | 29 | 6 | 7 | 13 | 0.448 |
| 2018-19 | Wilkes | D3 | MAC | FR | 26 | 7 | 6 | 13 | 0.500 |
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.