| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | — | USHL | 58 | 17 | 15 | 32 | 0.552 | 0.3513 | 0.3627 | 1.6533 | 1.7071 |
| 2012-13 | — | USHL | 50 | 20 | 23 | 43 | 0.860 | 0.5476 | 0.5363 | 2.5772 | 2.5240 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Minnesota Duluth | D1 | NCHC | SR | 42 | 21 | 30 | 51 | 1.214 |
| 2015-16 | Minnesota Duluth | D1 | NCHC | JR | 40 | 8 | 15 | 23 | 0.575 |
| 2014-15 | Minnesota Duluth | D1 | NCHC | SO | 34 | 8 | 17 | 25 | 0.735 |
| 2013-14 | Minnesota Duluth | D1 | NCHC | FR | 36 | 11 | 11 | 22 | 0.611 |
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.