| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | — | NAHL | 39 | 2 | 7 | 9 | 0.231 | 0.0914 | 0.0956 | 0.2423 | 0.2534 |
| 2011-12 | — | NAHL | 57 | 7 | 14 | 21 | 0.368 | 0.1460 | 0.1455 | 0.3868 | 0.3855 |
| 2012-13 | — | NAHL | 41 | 7 | 8 | 15 | 0.366 | 0.1450 | 0.1372 | 0.3842 | 0.3636 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Nichols | D3 | CNE | — | 27 | 4 | 4 | 8 | 0.296 |
| 2015-16 | Nichols | D3 | CNE | — | 26 | 1 | 8 | 9 | 0.346 |
| 2014-15 | Nichols | D3 | CNE | — | 16 | 1 | 1 | 2 | 0.125 |
| 2013-14 | Wisconsin-River Falls | D3 | BigTen | FR | 1 | 0 | 0 | 0 | 0.000 |
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.