| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Wenatchee Wild | BCHL | 53 | 10 | 18 | 28 | 0.528 | 0.1968 | 0.2042 | 0.7698 | 0.7987 |
| 2023-24 | Trail Smoke Eaters | BCHL | 53 | 17 | 17 | 34 | 0.641 | 0.2390 | 0.2370 | 0.9347 | 0.9269 |
| 2024-25 | Trail Smoke Eaters | BCHL | 53 | 32 | 31 | 63 | 1.189 | 0.4428 | 0.4169 | 1.7321 | 1.6306 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Dartmouth | D1 | ECAC | FR | 26 | 2 | 10 | 12 | 0.462 |
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.