| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | — | USHL | 60 | 29 | 44 | 73 | 1.217 | 0.7748 | 0.7894 | 3.6461 | 3.7150 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Nebraska Omaha | D1 | NCHC | JR | 35 | 19 | 27 | 46 | 1.314 |
| 2014-15 | Nebraska Omaha | D1 | NCHC | SO | 36 | 14 | 25 | 39 | 1.083 |
| 2013-14 | Nebraska Omaha | D1 | NCHC | FR | 37 | 7 | 27 | 34 | 0.919 |
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.