| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Sioux Falls Stampede | USHL | 26 | 3 | 6 | 9 | 0.346 | 0.2128 | 0.2359 | 1.0200 | 1.1308 |
| 2022-23 | Sioux Falls Stampede | USHL | 59 | 12 | 13 | 25 | 0.424 | 0.2604 | 0.2752 | 1.2483 | 1.3190 |
| 2023-24 | Sioux Falls Stampede | USHL | 44 | 8 | 15 | 23 | 0.523 | 0.3213 | 0.3236 | 1.5400 | 1.5508 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Harvard | D1 | ECAC | — | 6 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Harvard | D1 | ECAC | — | 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.