| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Minot Minotauros | NAHL | 51 | 34 | 22 | 56 | 1.098 | 0.4350 | 0.4492 | 1.1528 | 1.1905 |
| 2023-24 | Dubuque Fighting Saints | USHL | 49 | 21 | 25 | 46 | 0.939 | 0.5771 | 0.5421 | 2.7659 | 2.5982 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Nebraska Omaha | D1 | NCHC | SO | 3 | 0 | 1 | 1 | 0.333 |
| 2024-25 | Nebraska Omaha | D1 | NCHC | — | 19 | 3 | 1 | 4 | 0.210 |
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.