| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Chicago Steel | USHL | 38 | 7 | 11 | 18 | 0.474 | 0.2912 | 0.3025 | 1.3956 | 1.4495 |
| 2009-10 | — | USHL | 58 | 14 | 27 | 41 | 0.707 | 0.4345 | 0.4235 | 2.0827 | 2.0299 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Colorado College | D1 | NCHC | — | 36 | 11 | 13 | 24 | 0.667 |
| 2012-13 | Colorado College | D1 | WCHA-orig | — | 42 | 15 | 28 | 43 | 1.024 |
| 2011-12 | Colorado College | D1 | WCHA-orig | — | 36 | 10 | 10 | 20 | 0.556 |
| 2010-11 | Colorado College | D1 | WCHA-orig | — | 44 | 6 | 8 | 14 | 0.318 |
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.