| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | NCDC | 46 | 20 | 22 | 42 | 0.913 | 0.3722 | 0.3842 | 0.7306 | 0.7542 |
| 2019-20 | Northern Cyclones | NCDC | 48 | 25 | 27 | 52 | 1.083 | 0.4417 | 0.4417 | 0.8669 | 0.8669 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | SUNY Geneseo | D3 | SUNYAC | JR | 27 | 4 | 11 | 15 | 0.556 |
| 2022-23 | SUNY Geneseo | D3 | SUNYAC | SO | 21 | 3 | 0 | 3 | 0.143 |
| 2021-22 | SUNY Geneseo | D3 | SUNYAC | FR | 20 | 1 | 6 | 7 | 0.350 |
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.