| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Minnesota Wilderness | NAHL | 54 | 2 | 5 | 7 | 0.130 | 0.0460 | 0.0460 | 0.1361 | 0.1361 |
| 2022-23 | Minnesota Wilderness | NAHL | 31 | 2 | 1 | 3 | 0.097 | 0.0344 | 0.0327 | 0.1016 | 0.0966 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Hamline | D3 | MIAC | GR | 25 | 3 | 5 | 8 | 0.320 |
| 2024-25 | Hamline | D3 | MIAC | SR | 25 | 4 | 11 | 15 | 0.600 |
| 2023-24 | Hamline | D3 | MIAC | JR | 13 | 1 | 1 | 2 | 0.154 |
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.