| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Muskegon Lumberjacks | USHL | 44 | 8 | 8 | 16 | 0.364 | 0.2145 | 0.2260 | 1.0712 | 1.1288 |
| 2022-23 | Muskegon Lumberjacks | USHL | 53 | 24 | 26 | 50 | 0.943 | 0.5565 | 0.5575 | 2.7794 | 2.7843 |
| 2023-24 | Muskegon Lumberjacks | USHL | 60 | 18 | 44 | 62 | 1.033 | 0.6095 | 0.5803 | 3.0443 | 2.8985 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | UConn | D1 | HockeyEast | SO | 38 | 7 | 10 | 17 | 0.447 |
| 2024-25 | UConn | D1 | HockeyEast | — | 39 | 6 | 5 | 11 | 0.282 |
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.