| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Spring Lake Park High | USHS-MN | 25 | 3 | 15 | 18 | 0.720 | 0.0887 | 0.0856 | 0.1749 | 0.1689 |
| 2016-17 | Victoria Grizzlies | BCHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Wisconsin-River Falls | D3 | BigTen | SO | 11 | 1 | 0 | 1 | 0.091 |
| 2017-18 | Wisconsin-River Falls | D3 | BigTen | FR | 7 | 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.