| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Danbury Jr. Hat Tricks | NAHL | 48 | 0 | 7 | 7 | 0.146 | 0.0518 | 0.0518 | 0.1531 | 0.1531 |
| 2021-22 | Danbury Jr. Hat Tricks | NAHL | 14 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | UMass Boston | D3 | — | SR | 27 | 3 | 5 | 8 | 0.296 |
| 2024-25 | UMass Boston | D3 | NEHC | JR | 20 | 0 | 2 | 2 | 0.100 |
| 2023-24 | Wilkes | D3 | MAC | — | 27 | 1 | 3 | 4 | 0.148 |
| 2022-23 | Wilkes | D3 | MAC | — | 26 | 0 | 6 | 6 | 0.231 |
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.