| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Mason City Toros | NA3HL | 24 | 7 | 9 | 16 | 0.667 | 0.0803 | 0.0773 | 0.2106 | 0.2028 |
| 2014-15 | Mason City Toros | NA3HL | 43 | 20 | 22 | 42 | 0.977 | 0.1177 | 0.1076 | 0.3085 | 0.2820 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Wisconsin-Stout | D3 | BigTen | SO | 5 | 0 | 0 | 0 | 0.000 |
| 2015-16 | Wisconsin-Stout | D3 | BigTen | FR | 1 | 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.