| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Chanhassen High | USHS-MN | 25 | 9 | 6 | 15 | 0.600 | 0.0760 | 0.0782 | 0.1457 | 0.1499 |
| 2017-18 | Minnesota Blue Ox | USPHL-Premier | 38 | 11 | 16 | 27 | 0.711 | 0.0929 | 0.0932 | 0.2411 | 0.2419 |
| 2018-19 | Minnesota Blue Ox | USPHL-Premier | 44 | 18 | 33 | 51 | 1.159 | 0.1516 | 0.1440 | 0.3934 | 0.3737 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Concordia | D3 | MIAC | — | 0 | 0 | 0 | 0 | 0.000 |
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.