| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Peoria Mustangs | NA3HL | 46 | 11 | 19 | 30 | 0.652 | 0.0831 | 0.0893 | 0.2063 | 0.2217 |
| 2013-14 | Michigan Warriors | NAHL | 39 | 6 | 4 | 10 | 0.256 | 0.0942 | 0.0986 | 0.2710 | 0.2837 |
| 2014-15 | Michigan Warriors | NAHL | 48 | 5 | 14 | 19 | 0.396 | 0.1454 | 0.1446 | 0.4183 | 0.4160 |
| 2015-16 | — | NAHL | 49 | 4 | 12 | 16 | 0.327 | 0.1200 | 0.1140 | 0.3451 | 0.3280 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Buffalo State | D3 | SUNYAC | — | 0 | 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.