| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Vermont Lumberjacks | EHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Vermont Lumberjacks | EHL | 45 | 9 | 23 | 32 | 0.711 | 0.2502 | 0.2544 | 0.3487 | 0.3546 |
| 2023-24 | Vermont Lumberjacks | EHL | 45 | 6 | 16 | 22 | 0.489 | 0.1720 | 0.1662 | 0.2397 | 0.2317 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Canton | D3 | SUNYAC | SO | 8 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Canton | D3 | SUNYAC | FR | 13 | 0 | 2 | 2 | 0.154 |
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.