| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Cushing Academy | NE-Prep | 33 | 15 | 11 | 26 | 0.788 | 0.1588 | 0.1588 | 0.3606 | 0.3606 |
| 2019-20 | Cushing Academy | NE-Prep | 34 | 4 | 22 | 26 | 0.765 | 0.1542 | 0.1542 | 0.3500 | 0.3500 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | UMass Boston | D3 | NEHC | SO | 25 | 5 | 5 | 10 | 0.400 |
| 2021-22 | UMass Boston | D3 | NEHC | FR | 13 | 1 | 6 | 7 | 0.538 |
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.