| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Northern Lakes | USHS-MN | 25 | 5 | 3 | 8 | 0.320 | 0.0394 | 0.0394 | 0.0777 | 0.0777 |
| 2021-22 | Minnesota Wilderness | NA3HL | 23 | 1 | 3 | 4 | 0.174 | 0.0192 | 0.0192 | 0.0551 | 0.0550 |
| 2022-23 | New Jersey Rockets | USPHL-Premier | 41 | 1 | 7 | 8 | 0.195 | 0.0220 | 0.0210 | 0.0664 | 0.0634 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Salem State | D3 | MASCAC | GR | 1 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Salem State | D3 | MASCAC | SR | 1 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Salem State | D3 | MASCAC | JR | 10 | 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.