| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Austin Bruins | NAHL | 57 | 11 | 11 | 22 | 0.386 | 0.1433 | 0.1536 | 0.4087 | 0.4381 |
| 2016-17 | Austin Bruins | NAHL | 60 | 10 | 25 | 35 | 0.583 | 0.2166 | 0.2204 | 0.6176 | 0.6285 |
| 2017-18 | Austin Bruins | NAHL | 60 | 20 | 29 | 49 | 0.817 | 0.3032 | 0.2936 | 0.8647 | 0.8372 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | St. Norbert | D3 | NCHA | SR | 30 | 4 | 7 | 11 | 0.367 |
| 2020-21 | St. Norbert | D3 | NCHA | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | St. Norbert | D3 | NCHA | SO | 26 | 3 | 3 | 6 | 0.231 |
| 2018-19 | St. Norbert | D3 | NCHA | FR | 20 | 2 | 6 | 8 | 0.400 |
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.