| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Oklahoma Warriors | NAHL | 42 | 0 | 6 | 6 | 0.143 | 0.0508 | 0.0508 | 0.1500 | 0.1500 |
| 2021-22 | — | NAHL | 56 | 11 | 11 | 22 | 0.393 | 0.1396 | 0.1458 | 0.4125 | 0.4308 |
| 2022-23 | Powell River Kings | BCHL | 50 | 15 | 19 | 34 | 0.680 | 0.2620 | 0.2551 | 0.9908 | 0.9648 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Lake Superior State | D1 | CCHA | SR | 4 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Lake Superior State | D1 | CCHA | JR | 6 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Lake Superior State | D1 | CCHA | SO | 12 | 2 | 2 | 4 | 0.333 |
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.