| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Dodge County High (W) | USHS-MN-W | 25 | 2 | 1 | 3 | 0.120 | 0.0181 | 0.0181 | — | — |
| 2016-17 | Dodge County High (W) | USHS-MN-W | 23 | 4 | 6 | 10 | 0.435 | 0.0657 | 0.0657 | — | — |
| 2017-18 | Dodge County High (W) | USHS-MN-W | 25 | 11 | 11 | 22 | 0.880 | 0.1329 | 0.1329 | — | — |
| 2018-19 | Dodge County High (W) | USHS-MN-W | 24 | 8 | 11 | 19 | 0.792 | 0.1195 | 0.1195 | — | — |
| 2019-20 | Dodge County High (W) | USHS-MN-W | 25 | 11 | 15 | 26 | 1.040 | 0.1570 | 0.1570 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Saint Mary's | D3 | MIAC | SR | 23 | 3 | 3 | 6 | 0.261 |
| 2023-24 | Saint Mary's (MN) | D3 | MIAC | — | 27 | 4 | 4 | 8 | 0.296 |
| 2022-23 | Saint Mary's | D3 | MIAC | JR | 23 | 1 | 4 | 5 | 0.217 |
| 2022-23 | Saint Mary's (MN) | D3 | MIAC | — | 23 | 1 | 4 | 5 | 0.217 |
| 2021-22 | Saint Mary's | D3 | MIAC | SO | 16 | 2 | 3 | 5 | 0.312 |
| 2021-22 | Saint Mary's (MN) | D3 | MIAC | — | 16 | 2 | 3 | 5 | 0.312 |
| 2020-21 | Saint Mary's | D3 | MIAC | FR | 9 | 1 | 0 | 1 | 0.111 |
| 2020-21 | Saint Mary's (MN) | D3 | MIAC | — | 9 | 1 | 0 | 1 | 0.111 |
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.