| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | — | NAHL | 47 | 6 | 12 | 18 | 0.383 | 0.1360 | 0.1401 | 0.4021 | 0.4142 |
| 2022-23 | El Paso Rhinos | NAHL | 46 | 7 | 11 | 18 | 0.391 | 0.1390 | 0.1363 | 0.4108 | 0.4030 |
| 2023-24 | El Paso Rhinos | NAHL | 58 | 20 | 27 | 47 | 0.810 | 0.2878 | 0.2685 | 0.8507 | 0.7938 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Adrian | D3 | NCHA | SO | 28 | 14 | 16 | 30 | 1.071 |
| 2024-25 | Adrian | D3 | NCHA | — | 28 | 13 | 8 | 21 | 0.750 |
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.