| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Chicago Steel | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2011-12 | Waterloo Black Hawks | USHL | 54 | 17 | 17 | 34 | 0.630 | 0.4009 | 0.3845 | 1.8867 | 1.8095 |
| 2012-13 | Waterloo Black Hawks | USHL | 46 | 18 | 24 | 42 | 0.913 | 0.5814 | 0.5267 | 2.7360 | 2.4784 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Minnesota State | D1 | WCHA | SR | 39 | 4 | 18 | 22 | 0.564 |
| 2015-16 | Minnesota State | D1 | WCHA | JR | 41 | 7 | 12 | 19 | 0.463 |
| 2014-15 | Minnesota State | D1 | WCHA | SO | 24 | 2 | 7 | 9 | 0.375 |
| 2013-14 | Minnesota State | D1 | WCHA | FR | 20 | 2 | 1 | 3 | 0.150 |
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.