| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | — | NAHL | 34 | 2 | 2 | 4 | 0.118 | 0.0437 | 0.0437 | 0.1245 | 0.1245 |
| 2020-21 | Odessa Jackalopes | NAHL | 45 | 6 | 4 | 10 | 0.222 | 0.0825 | 0.0825 | 0.2353 | 0.2353 |
| 2021-22 | Odessa Jackalopes | NAHL | 50 | 6 | 19 | 25 | 0.500 | 0.1857 | 0.1792 | 0.5294 | 0.5109 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | UMass Boston | D3 | NEHC | FR | 24 | 4 | 11 | 15 | 0.625 |
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.