| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | — | NA3HL | 33 | 2 | 7 | 9 | 0.273 | 0.0329 | 0.0329 | 0.0861 | 0.0861 |
| 2021-22 | Willmar WarHawks | NA3HL | 40 | 18 | 29 | 47 | 1.175 | 0.1416 | 0.1356 | 0.3712 | 0.3556 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Concordia | D3 | MIAC | SR | 24 | 3 | 7 | 10 | 0.417 |
| 2024-25 | Concordia | D3 | MIAC | JR | 22 | 4 | 4 | 8 | 0.364 |
| 2023-24 | Concordia | D3 | MIAC | SO | 25 | 3 | 3 | 6 | 0.240 |
| 2022-23 | Concordia | D3 | MIAC | FR | 25 | 6 | 5 | 11 | 0.440 |
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.