| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | — | USHL | 17 | 1 | 0 | 1 | 0.059 | 0.0361 | 0.0396 | 0.1732 | 0.1900 |
| 2011-12 | — | USHL | 60 | 3 | 27 | 30 | 0.500 | 0.3074 | 0.3229 | 1.4731 | 1.5475 |
| 2012-13 | — | USHL | 62 | 5 | 28 | 33 | 0.532 | 0.3272 | 0.3263 | 1.5683 | 1.5641 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Colorado College | D1 | NCHC | — | 34 | 5 | 12 | 17 | 0.500 |
| 2013-14 | Colorado College | D1 | NCHC | — | 32 | 5 | 20 | 25 | 0.781 |
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.