| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Indiana Ice | USHL | 16 | 1 | 1 | 2 | 0.125 | 0.0737 | 0.0779 | 0.3754 | 0.3969 |
| 2012-13 | Johnstown Tomahawks | NAHL | 57 | 16 | 29 | 45 | 0.789 | 0.2901 | 0.3025 | 0.8333 | 0.8690 |
| 2013-14 | — | NAHL | 60 | 15 | 23 | 38 | 0.633 | 0.2327 | 0.2310 | 0.6684 | 0.6635 |
| 2014-15 | Amarillo Bulls | NAHL | 52 | 29 | 21 | 50 | 0.962 | 0.3533 | 0.3322 | 1.0149 | 0.9543 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Arizona State | D1 | NCHC | FR | 25 | 3 | 3 | 6 | 0.240 |
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.