| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Seacoast Spartans | EHL | 1 | 1 | 0 | 1 | 1.000 | 0.3519 | 0.3945 | 0.4903 | 0.5496 |
| 2022-23 | Maine Nordiques | NAHL | 51 | 6 | 9 | 15 | 0.294 | 0.1165 | 0.1225 | 0.3088 | 0.3246 |
| 2023-24 | — | NAHL | 53 | 14 | 9 | 23 | 0.434 | 0.1720 | 0.1726 | 0.4557 | 0.4572 |
| 2024-25 | New Hampshire Mountain Kings | NAHL | 54 | 23 | 24 | 47 | 0.870 | 0.3449 | 0.3280 | 0.9138 | 0.8689 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Plymouth State | D3 | LittleEast | FR | 27 | 8 | 15 | 23 | 0.852 |
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.