| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Pine City Area | USHS-MN | 24 | 11 | 12 | 23 | 0.958 | 0.1213 | 0.1276 | 0.2328 | 0.2450 |
| 2018-19 | Steinbach Pistons | MJHL | 35 | 8 | 19 | 27 | 0.771 | 0.1485 | 0.1440 | 0.4864 | 0.4717 |
| 2019-20 | — | NAHL | 29 | 1 | 3 | 4 | 0.138 | 0.0507 | 0.0507 | 0.1456 | 0.1456 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Saint Mary's (MN) | D3 | MIAC | SR | 19 | 1 | 4 | 5 | 0.263 |
| 2022-23 | Saint Mary's (MN) | D3 | MIAC | JR | 15 | 1 | 2 | 3 | 0.200 |
| 2020-21 | Wisconsin-River Falls | D1 | BigTen | FR | 5 | 0 | 0 | 0 | 0.000 |
| 2020-21 | Wisconsin-River Falls | D3 | BigTen | FR | 5 | 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.