| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | El Paso Rhinos | NAHL | 59 | 18 | 27 | 45 | 0.763 | 0.2709 | 0.2662 | 0.8008 | 0.7869 |
| 2022-23 | — | BCHL | 51 | 11 | 11 | 22 | 0.431 | 0.1662 | 0.1516 | 0.6286 | 0.5734 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Tufts | D3 | NESCAC | — | 13 | 5 | 4 | 9 | 0.692 |
| 2024-25 | Tufts | D3 | NESCAC | — | 15 | 6 | 7 | 13 | 0.867 |
| 2023-24 | UMass Lowell | D1 | HockeyEast | — | 5 | 0 | 1 | 1 | 0.200 |
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.