| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Waterloo Black Hawks | USHL | 4 | 1 | 0 | 1 | 0.250 | 0.1592 | 0.1781 | 0.7492 | 0.8380 |
| 2014-15 | Waterloo Black Hawks | USHL | 15 | 9 | 4 | 13 | 0.867 | 0.5519 | 0.5902 | 2.5972 | 2.7772 |
| 2015-16 | Waterloo Black Hawks | USHL | 54 | 30 | 20 | 50 | 0.926 | 0.5896 | 0.6031 | 2.7746 | 2.8380 |
| 2016-17 | Waterloo Black Hawks | USHL | 47 | 26 | 25 | 51 | 1.085 | 0.6910 | 0.6715 | 3.2517 | 3.1601 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Minnesota Duluth | D1 | NCHC | SR | 28 | 13 | 15 | 28 | 1.000 |
| 2019-20 | Minnesota Duluth | D1 | NCHC | JR | 31 | 12 | 14 | 26 | 0.839 |
| 2018-19 | Minnesota Duluth | D1 | NCHC | SO | 40 | 15 | 10 | 25 | 0.625 |
| 2017-18 | Minnesota Duluth | D1 | NCHC | FR | 35 | 6 | 16 | 22 | 0.629 |
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.