| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Austin Bruins | NAHL | 57 | 13 | 27 | 40 | 0.702 | 0.2606 | 0.2595 | 0.7431 | 0.7400 |
| 2012-13 | Austin Bruins | NAHL | 52 | 20 | 49 | 69 | 1.327 | 0.4927 | 0.4659 | 1.4049 | 1.3286 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Hamline | D3 | MIAC | — | 26 | 7 | 21 | 28 | 1.077 |
| 2015-16 | Wisconsin-Eau Claire | D3 | — | — | 24 | 4 | 7 | 11 | 0.458 |
| 2014-15 | Wisconsin-Eau Claire | D3 | — | — | 26 | 11 | 21 | 32 | 1.231 |
| 2013-14 | UMass | D1 | — | — | 23 | 1 | 2 | 3 | 0.130 |
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.