| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Omaha Lancers | USHL | 58 | 17 | 22 | 39 | 0.672 | 0.3966 | 0.4417 | 2.0195 | 2.2492 |
| 2016-17 | — | USHL | 53 | 18 | 20 | 38 | 0.717 | 0.4230 | 0.4495 | 2.1534 | 2.2885 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Nebraska Omaha | D1 | NCHC | — | 34 | 9 | 23 | 32 | 0.941 |
| 2020-21 | Minnesota | D1 | BigTen | SR | 27 | 9 | 16 | 25 | 0.926 |
| 2019-20 | Minnesota | D1 | BigTen | JR | 37 | 9 | 18 | 27 | 0.730 |
| 2018-19 | Minnesota | D1 | BigTen | SO | 36 | 14 | 12 | 26 | 0.722 |
| 2017-18 | Minnesota | D1 | BigTen | FR | 36 | 7 | 2 | 9 | 0.250 |
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.