| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Atlanta Kings | USPHL-Elite | 29 | 4 | 12 | 16 | 0.552 | 0.0411 | 0.0419 | 0.1264 | 0.1289 |
| 2016-17 | Atlanta Kings | USPHL-Elite | 41 | 9 | 15 | 24 | 0.585 | 0.0436 | 0.0420 | 0.1341 | 0.1291 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2004-05 | Wisconsin-Superior | D3 | — | SR | 29 | 31 | 16 | 47 | 1.621 |
| 2003-04 | Wisconsin-Superior | D3 | — | JR | 24 | 14 | 11 | 25 | 1.042 |
| 2002-03 | Wisconsin-Superior | D3 | — | SO | 14 | 3 | 8 | 11 | 0.786 |
| 2001-02 | Wisconsin-Superior | D3 | — | FR | 26 | 6 | 12 | 18 | 0.692 |
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.