| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Northeast Generals | NAHL | 29 | 2 | 1 | 3 | 0.103 | 0.0367 | 0.0388 | 0.1086 | 0.1149 |
| 2022-23 | Northeast Generals | NAHL | 60 | 3 | 17 | 20 | 0.333 | 0.1184 | 0.1194 | 0.3499 | 0.3530 |
| 2023-24 | Northeast Generals | NAHL | 59 | 5 | 15 | 20 | 0.339 | 0.1204 | 0.1157 | 0.3559 | 0.3420 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Cortland | D3 | SUNYAC | SO | 25 | 2 | 5 | 7 | 0.280 |
| 2024-25 | SUNY Cortland | D3 | SUNYAC | FR | 23 | 2 | 6 | 8 | 0.348 |
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.