| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2005-06 | — | USports-M | 10 | 6 | 8 | 14 | 1.400 | 0.7386 | 1.5987 | 4.1034 | 8.8819 |
| 2018-19 | — | VHL | 2 | 2 | 1 | 3 | 1.500 | 2.5553 | 4.0819 | 10.9352 | 17.4683 |
| 2022-23 | — | USHL | 50 | 46 | 40 | 86 | 1.720 | 1.0146 | 1.1221 | 5.1658 | 5.7131 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Boston University | D1 | HockeyEast | — | 38 | 32 | 32 | 64 | 1.684 |
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.