| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Cedar Rapids RoughRiders | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Cedar Rapids RoughRiders | USHL | 27 | 1 | 1 | 2 | 0.074 | 0.0437 | 0.0465 | 0.2226 | 0.2369 |
| 2023-24 | New Jersey Jr. Titans | NAHL | 46 | 13 | 13 | 26 | 0.565 | 0.2077 | 0.2202 | 0.5966 | 0.6325 |
| 2024-25 | Sioux Falls Stampede | USHL | 30 | 6 | 5 | 11 | 0.367 | 0.2163 | 0.2084 | 1.1013 | 1.0612 |
| 2025-26 | Sioux Falls Stampede | USHL | 60 | 43 | 20 | 63 | 1.050 | 0.6194 | 0.5670 | 3.1536 | 2.8866 |
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.