| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Indiana Ice | USHL | 6 | 0 | 2 | 2 | 0.333 | 0.2122 | 0.2131 | 0.9988 | 1.0032 |
| 2013-14 | Sioux City Musketeers | USHL | 56 | 15 | 31 | 46 | 0.821 | 0.5231 | 0.5009 | 2.4615 | 2.3573 |
| 2014-15 | Sioux City Musketeers | USHL | 59 | 31 | 40 | 71 | 1.203 | 0.7663 | 0.6962 | 3.6062 | 3.2761 |
| 2020-21 | Malmö Redhawks | SHL | 21 | 7 | 5 | 12 | 0.571 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Minnesota Duluth | D1 | NCHC | SO | 42 | 18 | 19 | 37 | 0.881 |
| 2015-16 | Minnesota Duluth | D1 | NCHC | FR | 39 | 6 | 12 | 18 | 0.462 |
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.