| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Des Moines Buccaneers | USHL | 4 | 0 | 1 | 1 | 0.250 | 0.1475 | 0.1475 | 0.7366 | 0.7366 |
| 2020-21 | — | USHL | 37 | 1 | 5 | 6 | 0.162 | 0.0957 | 0.0957 | 0.4779 | 0.4779 |
| 2021-22 | — | NAHL | 46 | 1 | 8 | 9 | 0.196 | 0.0695 | 0.0725 | 0.2055 | 0.2145 |
| 2022-23 | — | NAHL | 52 | 2 | 6 | 8 | 0.154 | 0.0546 | 0.0543 | 0.1615 | 0.1606 |
| 2023-24 | Odessa Jackalopes | NAHL | 56 | 5 | 15 | 20 | 0.357 | 0.1268 | 0.1201 | 0.3749 | 0.3550 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Norbert | D3 | NCHA | SO | 22 | 1 | 5 | 6 | 0.273 |
| 2024-25 | Northern Michigan | D1 | CCHA | — | 14 | 0 | 1 | 1 | 0.071 |
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.