| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Austin Bruins | NAHL | 47 | 12 | 13 | 25 | 0.532 | 0.1975 | 0.1945 | 0.5632 | 0.5546 |
| 2013-14 | Austin Bruins | NAHL | 58 | 9 | 19 | 28 | 0.483 | 0.1793 | 0.1676 | 0.5112 | 0.4778 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Augsburg | D3 | MIAC | SR | 27 | 8 | 14 | 22 | 0.815 |
| 2016-17 | Augsburg | D3 | MIAC | JR | 27 | 4 | 9 | 13 | 0.481 |
| 2015-16 | Augsburg | D3 | MIAC | SO | 26 | 7 | 9 | 16 | 0.615 |
| 2014-15 | Augsburg | D3 | MIAC | FR | 25 | 6 | 11 | 17 | 0.680 |
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.