| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Hill-Murray School | USHS-MN | 24 | 0 | 7 | 7 | 0.292 | 0.0369 | 0.0366 | 0.0709 | 0.0703 |
| 2016-17 | Dubuque Fighting Saints | USHL | 55 | 0 | 16 | 16 | 0.291 | 0.1716 | 0.1696 | 0.8737 | 0.8635 |
| 2017-18 | Dubuque Fighting Saints | USHL | 18 | 0 | 3 | 3 | 0.167 | 0.0983 | 0.0923 | 0.5007 | 0.4700 |
| 2018-19 | Chicago Steel | USHL | 32 | 2 | 7 | 9 | 0.281 | 0.1659 | 0.1472 | 0.8446 | 0.7493 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Colorado College | D1 | NCHC | — | 0 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Colorado College | D1 | NCHC | — | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Colorado College | D1 | NCHC | — | 11 | 0 | 1 | 1 | 0.091 |
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.