| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | — | USHS-MN | 25 | 13 | 17 | 30 | 1.200 | 0.1519 | 0.1589 | 0.2915 | 0.3049 |
| 2015-16 | — | USHL | 2 | 1 | 0 | 1 | 0.500 | 0.2949 | 0.3224 | 1.5017 | 1.6417 |
| 2016-17 | — | USHL | 11 | 2 | 5 | 7 | 0.636 | 0.3754 | 0.3912 | 1.9114 | 1.9920 |
| 2017-18 | — | USHL | 60 | 21 | 34 | 55 | 0.917 | 0.5408 | 0.5368 | 2.7532 | 2.7327 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Minnesota Duluth | D1 | NCHC | — | 37 | 11 | 13 | 24 | 0.649 |
| 2020-21 | Minnesota Duluth | D1 | NCHC | JR | 28 | 5 | 14 | 19 | 0.679 |
| 2019-20 | Minnesota Duluth | D1 | NCHC | SO | 34 | 14 | 19 | 33 | 0.971 |
| 2018-19 | Minnesota Duluth | D1 | NCHC | FR | 40 | 9 | 14 | 23 | 0.575 |
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.