| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Northern Cyclones | NCDC | 30 | 5 | 2 | 7 | 0.233 | 0.0657 | 0.0656 | — | — |
| 2019-20 | Northern Cyclones | NCDC | 22 | 5 | 6 | 11 | 0.500 | 0.1409 | 0.1409 | 0.4048 | 0.4048 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | UMass Boston | D3 | NEHC | SO | 23 | 3 | 5 | 8 | 0.348 |
| 2021-22 | UMass Boston | D3 | NEHC | FR | 18 | 4 | 8 | 12 | 0.667 |
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.