| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | — | USHL | 49 | 12 | 20 | 32 | 0.653 | 0.4159 | 0.4559 | 1.9571 | 2.1454 |
| 2012-13 | — | USHL | 62 | 20 | 43 | 63 | 1.016 | 0.6471 | 0.6749 | 3.0449 | 3.1758 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Denver | D1 | NCHC | JR | 40 | 11 | 33 | 44 | 1.100 |
| 2014-15 | Denver | D1 | NCHC | SO | 39 | 22 | 22 | 44 | 1.128 |
| 2013-14 | Denver | D1 | NCHC | FR | 42 | 14 | 18 | 32 | 0.762 |
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.