| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Maine Nordiques | NAHL | 9 | 2 | 1 | 3 | 0.333 | 0.1184 | 0.1301 | 0.3499 | 0.3845 |
| 2022-23 | Maine Nordiques | NAHL | 58 | 1 | 5 | 6 | 0.103 | 0.0367 | 0.0385 | 0.1086 | 0.1140 |
| 2023-24 | — | NAHL | 59 | 0 | 16 | 16 | 0.271 | 0.0963 | 0.0965 | 0.2847 | 0.2853 |
| 2024-25 | Shreveport Mudbugs | NAHL | 59 | 14 | 26 | 40 | 0.678 | 0.2408 | 0.2286 | 0.7118 | 0.6759 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | New England | D3 | — | — | 27 | 4 | 4 | 8 | 0.296 |
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.