| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Rosemount High | USHS-MN | 25 | 19 | 22 | 41 | 1.640 | 0.4415 | 0.4085 | 0.5250 | 0.5519 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Augsburg | D1 | — | SR | 20 | 3 | 13 | 16 | 0.800 |
| 2018-19 | Augsburg | D3 | MIAC | SR | 20 | 3 | 13 | 16 | 0.800 |
| 2017-18 | Augsburg | D3 | MIAC | JR | 27 | 11 | 7 | 18 | 0.667 |
| 2016-17 | Augsburg | D3 | MIAC | SO | 24 | 8 | 7 | 15 | 0.625 |
| 2015-16 | Augsburg | D3 | MIAC | FR | 23 | 5 | 9 | 14 | 0.609 |
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.