| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Spokane Chiefs | WHL | 60 | 2 | 5 | 7 | 0.117 | 0.0568 | 0.0593 | 0.2860 | 0.2987 |
| 2022-23 | Spokane Chiefs | WHL | 56 | 2 | 14 | 16 | 0.286 | 0.1390 | 0.1387 | 0.7001 | 0.6985 |
| 2023-24 | Spokane Chiefs | WHL | 64 | 9 | 48 | 57 | 0.891 | 0.4333 | 0.4109 | 2.1822 | 2.0696 |
| 2024-25 | Spokane Chiefs | WHL | 67 | 10 | 61 | 71 | 1.060 | 0.5155 | 0.4614 | 2.5966 | 2.3239 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bowling Green | D1 | CCHA | FR | 35 | 3 | 15 | 18 | 0.514 |
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.