| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Sioux City Musketeers | USHL | 58 | 0 | 8 | 8 | 0.138 | 0.0878 | 0.0907 | 0.4132 | 0.4267 |
| 2012-13 | Sioux City Musketeers | USHL | 62 | 3 | 8 | 11 | 0.177 | 0.1130 | 0.1107 | 0.5316 | 0.5206 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Michigan Tech | D1 | WCHA | SR | 45 | 3 | 12 | 15 | 0.333 |
| 2015-16 | Michigan Tech | D1 | WCHA | JR | 37 | 2 | 8 | 10 | 0.270 |
| 2014-15 | Michigan Tech | D1 | WCHA | SO | 40 | 3 | 10 | 13 | 0.325 |
| 2013-14 | Michigan Tech | D1 | WCHA | FR | 40 | 0 | 4 | 4 | 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.