| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Connecticut Jr. Rangers | USPHL-Premier-Classic | 42 | 14 | 13 | 27 | 0.643 | 0.1805 | 0.1799 | 0.5286 | 0.5270 |
| 2015-16 | — | NAHL | 44 | 13 | 14 | 27 | 0.614 | 0.2254 | 0.2103 | 0.6477 | 0.6042 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Lawrence | D3 | NCHA | — | 0 | 0 | 0 | 0 | 0.000 |
| 2016-17 | Lawrence | D3 | NCHA | — | 17 | 3 | 5 | 8 | 0.471 |
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.