| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Chicago Steel | USHL | 32 | 4 | 6 | 10 | 0.312 | 0.1990 | 0.2098 | 0.9365 | 0.9874 |
| 2011-12 | — | USHL | 55 | 14 | 11 | 25 | 0.455 | 0.2894 | 0.2916 | 1.3620 | 1.3724 |
| 2012-13 | — | USHL | 51 | 6 | 11 | 17 | 0.333 | 0.2122 | 0.2025 | 0.9988 | 0.9533 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Penn State | D1 | BigTen | SR | 18 | 4 | 4 | 8 | 0.444 |
| 2015-16 | Penn State | D1 | BigTen | JR | 25 | 6 | 3 | 9 | 0.360 |
| 2014-15 | Penn State | D1 | BigTen | SO | 16 | 0 | 1 | 1 | 0.062 |
| 2013-14 | Penn State | D1 | BigTen | FR | 33 | 5 | 6 | 11 | 0.333 |
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.