| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Austin Bruins | NAHL | 39 | 4 | 7 | 11 | 0.282 | 0.1118 | 0.1143 | 0.2962 | 0.3028 |
| 2011-12 | Austin Bruins | NAHL | 58 | 9 | 19 | 28 | 0.483 | 0.1913 | 0.1862 | 0.5069 | 0.4933 |
| 2012-13 | Austin Bruins | NAHL | 57 | 17 | 18 | 35 | 0.614 | 0.2433 | 0.2245 | 0.6446 | 0.5949 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Wisconsin-Eau Claire | D3 | BigTen | SO | 8 | 0 | 1 | 1 | 0.125 |
| 2013-14 | Wisconsin-Eau Claire | D3 | BigTen | FR | 10 | 1 | 0 | 1 | 0.100 |
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.