| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Chicago Steel | USHL | 55 | 8 | 11 | 19 | 0.345 | 0.2124 | 0.2220 | 1.0179 | 1.0641 |
| 2012-13 | — | USHL | 47 | 21 | 8 | 29 | 0.617 | 0.3793 | 0.3763 | 1.8178 | 1.8036 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Colorado College | D1 | NCHC | — | 11 | 0 | 0 | 0 | 0.000 |
| 2015-16 | Colorado College | D1 | NCHC | — | 28 | 2 | 2 | 4 | 0.143 |
| 2014-15 | Colorado College | D1 | NCHC | — | 35 | 1 | 6 | 7 | 0.200 |
| 2013-14 | Colorado College | D1 | NCHC | — | 26 | 1 | 0 | 1 | 0.038 |
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.