| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Queen City Steam | NA3HL | 45 | 6 | 7 | 13 | 0.289 | 0.0664 | 0.0692 | 0.0915 | 0.0954 |
| 2013-14 | Cincinnati Swords | NA3HL | 47 | 18 | 20 | 38 | 0.808 | 0.1860 | 0.1867 | 0.2561 | 0.2571 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Wisconsin-River Falls | D3 | BigTen | JR | 29 | 6 | 3 | 9 | 0.310 |
| 2016-17 | Finlandia | D3 | — | JR | 23 | 4 | 1 | 5 | 0.217 |
| 2015-16 | Finlandia | D3 | — | SO | 21 | 4 | 4 | 8 | 0.381 |
| 2014-15 | Finlandia | D3 | — | FR | 18 | 4 | 0 | 4 | 0.222 |
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.