| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Austin Bruins | NAHL | 37 | 0 | 1 | 1 | 0.027 | 0.0096 | 0.0096 | 0.0283 | 0.0283 |
| 2021-22 | Austin Bruins | NAHL | 58 | 12 | 23 | 35 | 0.603 | 0.2143 | 0.2068 | 0.6335 | 0.6113 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Augsburg | D3 | MIAC | SR | 24 | 7 | 7 | 14 | 0.583 |
| 2024-25 | Augsburg | D3 | MIAC | JR | 22 | 5 | 3 | 8 | 0.364 |
| 2023-24 | Augsburg | D3 | MIAC | SO | 25 | 8 | 4 | 12 | 0.480 |
| 2022-23 | Augsburg | D3 | MIAC | FR | 22 | 3 | 1 | 4 | 0.182 |
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.