| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | New Mexico Ice Wolves | NAHL | 31 | 2 | 2 | 4 | 0.129 | 0.0511 | 0.0511 | 0.1354 | 0.1354 |
| 2021-22 | New Mexico Ice Wolves | NAHL | 56 | 18 | 24 | 42 | 0.750 | 0.2972 | 0.2987 | 0.7874 | 0.7914 |
| 2022-23 | New Mexico Ice Wolves | NAHL | 60 | 32 | 22 | 54 | 0.900 | 0.3566 | 0.3409 | 0.9449 | 0.9034 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Augustana | D1 | CCHA | GR | 37 | 4 | 4 | 8 | 0.216 |
| 2024-25 | Augustana | D1 | CCHA | SR | 18 | 1 | 2 | 3 | 0.167 |
| 2023-24 | Augustana | D1 | CCHA | JR | 26 | 4 | 5 | 9 | 0.346 |
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.