| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | North Iowa Bulls | NA3HL | 17 | 1 | 4 | 5 | 0.294 | 0.0369 | 0.0377 | 0.0928 | 0.0948 |
| 2022-23 | North Iowa Bulls | NA3HL | 45 | 0 | 12 | 12 | 0.267 | 0.0335 | 0.0327 | 0.0842 | 0.0822 |
| 2023-24 | Houston Bulls | NAHL | 17 | 0 | 1 | 1 | 0.059 | 0.0216 | 0.0203 | 0.0621 | 0.0584 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | New England College | D3 | LittleEast | — | 23 | 1 | 8 | 9 | 0.391 |
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.