| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Andover | NE-Prep | 27 | 6 | 8 | 14 | 0.518 | 0.1043 | 0.1043 | 0.2371 | 0.2371 |
| 2023-24 | Andover | NE-Prep | 30 | 17 | 20 | 37 | 1.233 | 0.2480 | 0.2480 | 0.5640 | 0.5640 |
| 2024-25 | Andover | NE-Prep | 30 | 16 | 23 | 39 | 1.300 | 0.2614 | 0.2614 | 0.5945 | 0.5945 |
| 2025-26 | Moncton Wildcats | QMJHL | 55 | 6 | 5 | 11 | 0.200 | 0.0983 | 0.1006 | 0.5339 | 0.5461 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | Dartmouth | D1 | ECAC | FR | 0 | 0 | 0 | 0 | 0.000 |
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.