| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Apollo High | USHS-MN | 23 | 14 | 9 | 23 | 1.000 | 0.1266 | 0.1245 | 0.2429 | 0.2389 |
| 2016-17 | Granite City Lumberjacks | NA3HL | 33 | 4 | 7 | 11 | 0.333 | 0.0418 | 0.0419 | 0.1052 | 0.1055 |
| 2017-18 | Granite City Lumberjacks | NA3HL | 43 | 16 | 18 | 34 | 0.791 | 0.0992 | 0.0944 | 0.2496 | 0.2375 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Hamline | D3 | MIAC | SR | 25 | 3 | 9 | 12 | 0.480 |
| 2021-22 | Hamline | D3 | MIAC | JR | 25 | 2 | 3 | 5 | 0.200 |
| 2020-21 | Hamline | D1 | MIAC | JR | 6 | 1 | 1 | 2 | 0.333 |
| 2020-21 | Hamline | D3 | MIAC | SO | 6 | 1 | 1 | 2 | 0.333 |
| 2019-20 | Hamline | D1 | MIAC | SO | 25 | 6 | 3 | 9 | 0.360 |
| 2019-20 | Hamline | D3 | MIAC | FR | 25 | 6 | 3 | 9 | 0.360 |
| 2018-19 | Wisconsin-River Falls | D1 | BigTen | FR | 26 | 3 | 3 | 6 | 0.231 |
| 2018-19 | Wisconsin-River Falls | D3 | BigTen | — | 26 | 3 | 3 | 6 | 0.231 |
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.