| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | — | USHL | 4 | 1 | 0 | 1 | 0.250 | 0.1592 | 0.1661 | 0.7492 | 0.7816 |
| 2012-13 | — | USHL | 64 | 29 | 41 | 70 | 1.094 | 0.6965 | 0.6896 | 3.2778 | 3.2452 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Minnesota Duluth | D1 | NCHC | SR | 42 | 16 | 13 | 29 | 0.691 |
| 2015-16 | Minnesota Duluth | D1 | NCHC | JR | 40 | 15 | 6 | 21 | 0.525 |
| 2014-15 | Minnesota Duluth | D1 | NCHC | SO | 34 | 16 | 10 | 26 | 0.765 |
| 2013-14 | Minnesota Duluth | D1 | NCHC | FR | 35 | 7 | 8 | 15 | 0.429 |
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.