| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Minnetonka | USHS-MN | 13 | 1 | 4 | 5 | 0.385 | 0.1035 | 0.1035 | 0.0934 | 0.0934 |
| 2021-22 | Totino-Grace | USHS-MN | 26 | 3 | 12 | 15 | 0.577 | 0.1553 | 0.1553 | 0.1401 | 0.1401 |
| 2022-23 | New Ulm Steel | NA3HL | 28 | 0 | 11 | 11 | 0.393 | 0.0904 | 0.0918 | — | — |
| 2023-24 | Wisconsin Woodsmen | NA3HL | 38 | 1 | 8 | 9 | 0.237 | 0.0545 | 0.0527 | 0.0750 | 0.0725 |
| 2024-25 | Wisconsin Woodsmen | NA3HL | 43 | 6 | 17 | 23 | 0.535 | 0.1230 | 0.1125 | 0.1695 | 0.1551 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Beloit | D3 | WIAC | FR | 7 | 1 | 0 | 1 | 0.143 |
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.