| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | — | NAHL | 13 | 1 | 1 | 2 | 0.154 | 0.0571 | 0.0571 | 0.1628 | 0.1628 |
| 2021-22 | Kenai River Brown Bears | NAHL | 23 | 2 | 5 | 7 | 0.304 | 0.1130 | 0.1140 | 0.3222 | 0.3249 |
| 2022-23 | Boston Advantage | NCDC | 49 | 26 | 35 | 61 | 1.245 | 0.3508 | 0.3378 | 1.0079 | 0.9706 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Geneseo | D3 | — | JR | 25 | 7 | 16 | 23 | 0.920 |
| 2024-25 | SUNY Geneseo | D3 | — | SO | 28 | 11 | 19 | 30 | 1.071 |
| 2023-24 | SUNY Geneseo | D3 | SUNYAC | FR | 26 | 11 | 19 | 30 | 1.154 |
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.