| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | El Paso Rhinos | NAHL | 46 | 6 | 9 | 15 | 0.326 | 0.1158 | 0.1156 | 0.3424 | 0.3417 |
| 2022-23 | — | NAHL | 53 | 8 | 10 | 18 | 0.340 | 0.1206 | 0.1144 | 0.3565 | 0.3382 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Colby | D3 | NESCAC | GR | 23 | 2 | 4 | 6 | 0.261 |
| 2024-25 | Colby | D3 | NESCAC | SR | 22 | 1 | 5 | 6 | 0.273 |
| 2023-24 | Colby | D3 | NESCAC | JR | 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.