| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Austin Bruins | NAHL | 30 | 7 | 6 | 13 | 0.433 | 0.1609 | 0.1629 | 0.4588 | 0.4645 |
| 2016-17 | Austin Bruins | NAHL | 49 | 12 | 12 | 24 | 0.490 | 0.1819 | 0.1743 | 0.5186 | 0.4969 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Bethel | D3 | MIAC | SR | 7 | 2 | 5 | 7 | 1.000 |
| 2019-20 | Bethel | D3 | MIAC | JR | 17 | 4 | 4 | 8 | 0.471 |
| 2018-19 | Bethel | D3 | MIAC | SO | 20 | 5 | 1 | 6 | 0.300 |
| 2017-18 | Bethel | D3 | MIAC | FR | 25 | 3 | 7 | 10 | 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.