| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Chippewa Steel | NAHL | 5 | 1 | 0 | 1 | 0.200 | 0.0735 | 0.0792 | 0.2111 | 0.2274 |
| 2022-23 | — | NAHL | 53 | 5 | 4 | 9 | 0.170 | 0.0624 | 0.0642 | 0.1792 | 0.1842 |
| 2023-24 | Corpus Christi IceRays | NAHL | 56 | 10 | 6 | 16 | 0.286 | 0.1050 | 0.1029 | 0.3016 | 0.2957 |
| 2024-25 | Corpus Christi IceRays | NAHL | 59 | 17 | 18 | 35 | 0.593 | 0.2179 | 0.2022 | 0.6261 | 0.5809 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Olaf | D3 | MIAC | FR | 23 | 4 | 0 | 4 | 0.174 |
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.