| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Pittsburgh Jr. Penguins | NA3HL | 44 | 2 | 9 | 11 | 0.250 | 0.0319 | 0.0345 | 0.0791 | 0.0857 |
| 2012-13 | Pittsburgh Vengeance | NA3HL | 47 | 11 | 14 | 25 | 0.532 | 0.0678 | 0.0701 | 0.1682 | 0.1738 |
| 2013-14 | Pittsburgh Vengeance | NA3HL | 48 | 7 | 14 | 21 | 0.438 | 0.0557 | 0.0554 | 0.1384 | 0.1376 |
| 2014-15 | Pittsburgh Vengeance | NA3HL | 45 | 9 | 26 | 35 | 0.778 | 0.0991 | 0.0937 | 0.2460 | 0.2326 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Lebanon Valley | D3 | MAC | — | 22 | 1 | 6 | 7 | 0.318 |
| 2017-18 | Lebanon Valley | D3 | MAC | — | 24 | 1 | 7 | 8 | 0.333 |
| 2016-17 | Lebanon Valley | D3 | MAC | — | 25 | 0 | 5 | 5 | 0.200 |
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.