| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Sioux City Musketeers | USHL | 51 | 6 | 11 | 17 | 0.333 | 0.1966 | 0.1932 | 0.9978 | 0.9804 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Augsburg | D1 | MIAC | SR | 26 | 21 | 19 | 40 | 1.538 |
| 2018-19 | Augsburg | D3 | MIAC | SR | 26 | 21 | 19 | 40 | 1.538 |
| 2017-18 | Augsburg | D3 | MIAC | JR | 28 | 7 | 12 | 19 | 0.679 |
| 2016-17 | RPI | D1 | ECAC | SO | 20 | 1 | 0 | 1 | 0.050 |
| 2015-16 | RPI | D1 | ECAC | FR | 26 | 3 | 5 | 8 | 0.308 |
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.