| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Frederick Gunn | NE-Prep | 31 | 8 | 20 | 28 | 0.903 | 0.1789 | 0.1789 | 0.4115 | 0.4115 |
| 2019-20 | Alberni Valley Bulldogs | BCHL | 58 | 2 | 13 | 15 | 0.259 | 0.0996 | 0.0996 | 0.3763 | 0.3763 |
| 2020-21 | Odessa Jackalopes | NAHL | 37 | 5 | 13 | 18 | 0.486 | 0.1787 | 0.1787 | 0.5135 | 0.5135 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Cornell | D1 | ECAC | — | 6 | 0 | 1 | 1 | 0.167 |
| 2022-23 | Cornell | D1 | ECAC | — | 0 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Cornell | D1 | ECAC | — | 0 | 0 | 0 | 0 | 0.000 |
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.