| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Austin Bruins | NAHL | 56 | 17 | 24 | 41 | 0.732 | 0.2600 | 0.2676 | 0.7686 | 0.7910 |
| 2011-12 | Austin Bruins | NAHL | 60 | 18 | 33 | 51 | 0.850 | 0.3019 | 0.2958 | 0.8924 | 0.8744 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Hamline | D3 | MIAC | — | 27 | 21 | 28 | 49 | 1.815 |
| 2014-15 | Hamline | D3 | MIAC | — | 27 | 19 | 15 | 34 | 1.259 |
| 2013-14 | St. Thomas | D3 | — | — | 7 | 1 | 0 | 1 | 0.143 |
| 2012-13 | Nebraska Omaha | D1 | CCHA-orig | — | 14 | 2 | 0 | 2 | 0.143 |
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.