| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | — | USHL | 49 | 2 | 5 | 7 | 0.143 | 0.0843 | 0.0910 | 0.4292 | 0.4634 |
| 2015-16 | — | USHL | 38 | 10 | 13 | 23 | 0.605 | 0.3571 | 0.3689 | 1.8180 | 1.8782 |
| 2016-17 | — | USHL | 58 | 15 | 19 | 34 | 0.586 | 0.3458 | 0.3396 | 1.7606 | 1.7291 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Minnesota State | D1 | WCHA | SR | 28 | 10 | 7 | 17 | 0.607 |
| 2019-20 | Minnesota State | D1 | WCHA | JR | 32 | 3 | 12 | 15 | 0.469 |
| 2018-19 | Minnesota State | D1 | WCHA | SO | 34 | 10 | 6 | 16 | 0.471 |
| 2017-18 | Minnesota State | D1 | WCHA | FR | 8 | 2 | 1 | 3 | 0.375 |
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.