| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Muskegon Lumberjacks | USHL | 50 | 21 | 12 | 33 | 0.660 | 0.4203 | 0.4209 | 1.9778 | 1.9808 |
| 2012-13 | — | USHL | 65 | 23 | 25 | 48 | 0.739 | 0.4703 | 0.4460 | 2.2131 | 2.0987 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Michigan Tech | D1 | WCHA | SR | 45 | 7 | 6 | 13 | 0.289 |
| 2015-16 | Michigan Tech | D1 | WCHA | JR | 32 | 15 | 12 | 27 | 0.844 |
| 2014-15 | Michigan Tech | D1 | WCHA | SO | 31 | 14 | 9 | 23 | 0.742 |
| 2013-14 | Michigan Tech | D1 | WCHA | FR | 14 | 2 | 1 | 3 | 0.214 |
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.