| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Cushing Academy | NE-Prep | 25 | 6 | 18 | 24 | 0.960 | 0.1843 | 0.1843 | 0.4374 | 0.4374 |
| 2022-23 | Sioux City Musketeers | USHL | 9 | 2 | 3 | 5 | 0.556 | 0.3277 | 0.3413 | 1.6634 | 1.7326 |
| 2023-24 | Sioux City Musketeers | USHL | 58 | 20 | 29 | 49 | 0.845 | 0.4983 | 0.4943 | 2.5292 | 2.5088 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | UConn | D1 | HockeyEast | SO | 38 | 9 | 8 | 17 | 0.447 |
| 2024-25 | UConn | D1 | HockeyEast | — | 37 | 8 | 10 | 18 | 0.486 |
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.