| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Philadelphia Rebels | NAHL | 15 | 2 | 0 | 2 | 0.133 | 0.0473 | 0.0489 | 0.1400 | 0.1447 |
| 2022-23 | Waywayseecappo Wolverines | MJHL | 44 | 21 | 9 | 30 | 0.682 | 0.1312 | 0.1274 | 0.4297 | 0.4172 |
| 2023-24 | Houston Bulls | NAHL | 52 | 9 | 4 | 13 | 0.250 | 0.0888 | 0.0832 | 0.2625 | 0.2459 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Eau Claire | D3 | WIAC | SO | 26 | 11 | 5 | 16 | 0.615 |
| 2024-25 | Wisconsin-Eau Claire | D3 | WIAC | FR | 17 | 2 | 1 | 3 | 0.176 |
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.