| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | SAHA U18 Prep | CSSHL-U18W | 24 | 6 | 7 | 13 | 0.542 | 0.1241 | 0.1241 | — | — |
| 2022-23 | SAHA U18 Prep | CSSHL-U18W | 20 | 2 | 11 | 13 | 0.650 | 0.1489 | 0.1489 | — | — |
| 2023-24 | SAHA U18 Prep | CSSHL-U18W | 16 | 3 | 9 | 12 | 0.750 | 0.1718 | 0.1718 | — | — |
| 2024-25 | SAHA U18 Prep | CSSHL-U18W | 25 | 5 | 13 | 18 | 0.720 | 0.1650 | 0.1650 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | RIT | D1 | CHA-W | FR | 31 | 4 | 3 | 7 | 0.226 |
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.