| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Sioux Falls Stampede | USHL | 14 | 3 | 4 | 7 | 0.500 | 0.3074 | 0.3127 | 1.4731 | 1.4985 |
| 2012-13 | Sioux Falls Stampede | USHL | 57 | 18 | 26 | 44 | 0.772 | 0.4745 | 0.4574 | 2.2742 | 2.1923 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Colorado College | D1 | NCHC | — | 36 | 7 | 5 | 12 | 0.333 |
| 2015-16 | Colorado College | D1 | NCHC | — | 33 | 6 | 9 | 15 | 0.455 |
| 2014-15 | Colorado College | D1 | NCHC | — | 33 | 6 | 8 | 14 | 0.424 |
| 2013-14 | Colorado College | D1 | NCHC | — | 35 | 6 | 14 | 20 | 0.571 |
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.