| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Ottawa Jr. Senators | CCHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Minnesota Wilderness | NAHL | 26 | 1 | 11 | 12 | 0.462 | 0.1828 | 0.1881 | 0.4845 | 0.4986 |
| 2022-23 | Des Moines Buccaneers | USHL | 56 | 1 | 7 | 8 | 0.143 | 0.0878 | 0.0822 | 0.4210 | 0.3942 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Brown | D1 | ECAC | JR | 31 | 1 | 8 | 9 | 0.290 |
| 2024-25 | Brown | D1 | ECAC | JR | 32 | 7 | 9 | 16 | 0.500 |
| 2023-24 | Brown | D1 | ECAC | SO | 30 | 7 | 8 | 15 | 0.500 |
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.