| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Tri-City Storm | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2012-13 | Tri-City Storm | USHL | 49 | 10 | 9 | 19 | 0.388 | 0.2470 | 0.2624 | 1.1621 | 1.2343 |
| 2013-14 | — | USHL | 60 | 27 | 21 | 48 | 0.800 | 0.5094 | 0.5172 | 2.3974 | 2.4343 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Michigan Tech | D1 | WCHA | SR | 44 | 12 | 15 | 27 | 0.614 |
| 2016-17 | Michigan Tech | D1 | WCHA | JR | 44 | 11 | 17 | 28 | 0.636 |
| 2015-16 | Michigan Tech | D1 | WCHA | SO | 35 | 16 | 10 | 26 | 0.743 |
| 2014-15 | Michigan Tech | D1 | WCHA | FR | 29 | 7 | 10 | 17 | 0.586 |
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.