| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | New Mexico Ice Wolves | NA3HL | 45 | 6 | 17 | 23 | 0.511 | 0.0651 | 0.0707 | 0.1617 | 0.1755 |
| 2023-24 | New Mexico Ice Wolves | NA3HL | 38 | 10 | 10 | 20 | 0.526 | 0.0671 | 0.0696 | 0.1665 | 0.1728 |
| 2024-25 | New Mexico Ice Wolves | NAHL | 49 | 6 | 8 | 14 | 0.286 | 0.1050 | 0.1048 | 0.3020 | 0.3014 |
| 2025-26 | New Mexico Ice Wolves | NAHL | 57 | 11 | 12 | 23 | 0.404 | 0.1482 | 0.1406 | 0.4265 | 0.4047 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Robert Morris | D1 | AHA | FR | 0 | 0 | 0 | 0 | 0.000 |
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.